APPARATUS AND METHOD FOR UNIVERSAL PERSONAL DATA PORTABILITY

Abstract

A universal personal data portability capability is disclosed. The universal personal data portability supports automated porting of personal data of a user from a plurality of environments to a personal data store of the user.

Description

TECHNICAL FIELD

This case relates generally to data portability and, more specifically but not exclusively, to portability of personal data of a user.

BACKGROUND

Users have a large quantity of personal data spread out over many different entities and environments. In many cases, users do not have control over large portions of their personal data, and may not even have access to portions of their personal data.

SUMMARY

Various deficiencies in the prior art are addressed by embodiments for providing portability of user data.

In one embodiment, an apparatus includes at least one memory and at least one processor communicatively connected to the at least one memory. The at least one memory is configured to store a plurality of data porting agents for a user, where the data porting agents are configured to control porting of personal data of the user from a plurality of environments to a personal data store of the user. The at least one processor is configured to receive personal data of the user from one of the environments based on execution of one or more of the data porting agents, decouple the received personal data of the user from the one of the environments with which the personal data is associated, and propagate the decoupled personal data toward the personal data store for storage in the personal data store.

In one embodiment, a non-transitory computer-readable storage medium stores instructions which, when executed by a computer, cause the computer to perform a method including receiving personal data of a user from one of a plurality of environments where the personal data of the user is received based on execution of one or more data porting agents configured to control porting of personal data of the user from the plurality of environments to a personal data store of the user, decoupling the received personal data of the user from the one of the environments with which the personal data is associated, and propagating the decoupled personal data toward the personal data store for storage in the personal data store.

In one embodiment, a method includes receiving personal data of a user from one of a plurality of environments where the personal data of the user is received based on execution of one or more data porting agents configured to control porting of personal data of the user from the plurality of environments to a personal data store of the user, decoupling the received personal data of the user from the one of the environments with which the personal data is associated, and propagating the decoupled personal data toward the personal data store for storage in the personal data store.

BRIEF DESCRIPTION OF THE DRAWINGS

The teachings herein can be readily understood by considering the following detailed description in conjunction with the accompanying drawings, in which:

FIG. 1 depicts a high-level block diagram of an exemplary system configured to support universal personal data portability (UPDP);

FIG. 2 depicts a high-level block diagram of an exemplary system illustrating implementation of a UPDP Store using a network-based cloud;

FIG. 3 depicts a high-level block diagram of an exemplary system illustrating implementation of a UPDP Store using a personal cloud;

FIG. 4 depicts a high-level block diagram of an exemplary system illustrating implementation of a UPDP Store using storage space on a client device;

FIG. 5 depicts a high-level block diagram of an exemplary UPDP client module for use at a client device to support universal personal data portability;

FIG. 6 depicts a high-level block diagram of an exemplary UPDP data presentation and control engine of the UPDP client module of FIG. 5;

FIG. 7 depicts a high-level block diagram of an exemplary UPDP Agent for use by an environment to support universal personal data portability;

FIGS. 8A and 8B depict a high-level block diagram of an exemplary UPDP Core Engine implemented as a management system;

FIG. 9 depicts a high-level block diagram of an exemplary cloud-based implementation of a UPDP Core Engine;

FIG. 10 depicts a high-level block diagram of an exemplary cloud-based implementation of a UPDP Core Engine for illustrating processor and memory management in a cloud-based implementation of a UPDP Core Engine;

FIG. 11 depicts a high-level block diagram of an exemplary system illustrating use of the personal data transfer capability to transfer personal data between network operator environments;

FIG. 12 depicts a high-level block diagram illustrating user-based control of data ports configured to control access to portions of UPDP data stored in a UPDP Store of a user;

FIG. 13A depicts an exemplary UPDP Store bifurcation process in which a single UPDP Store of a user is subdivided into multiple UPDP Stores;

FIG. 13B depicts an exemplary UPDP Store combination process in which multiple UPDP Stores are combined to form a single UPDP Store;

FIG. 14A depicts an exemplary arrangement of parameter classes and associated priority values for a context-based data evaluation capability;

FIG. 14B depicts an exemplary process for determining UPDP scores for a context-based data evaluation capability;

FIG. 14C depicts an exemplary radar chart of UPDP scores for data sets for a context-based data evaluation capability;

FIG. 15 depicts one embodiment of a method performed by a UPDP Core Engine;

FIG. 16 depicts one embodiment of a method performed by the UPDP Client Module of a client device; and

FIG. 17 depicts a high-level block diagram of a computer suitable for use in performing functions described herein.

To facilitate understanding, identical reference numerals have been used, where possible, to designate identical elements that are common to the figures.

DETAILED DESCRIPTION

In general, a universal personal data portability (UPDP) capability is depicted and described herein, although various other capabilities also may be presented herein.

Various embodiments of the UPDP capability provide porting of user data (referred to herein as personal data of a user, which may include public data of the user, private data of the user, work-related data of the user, and the like, as well as various combinations thereof) from various locations to a UPDP Store of the user (which also may be referred to herein as a personal data store of the user in that it stores data associated with the user). The personal data of the user that is ported to the UPDP Store of the user may be ported from various types of environments, such as one or more of telecommunications environments (e.g., wireline, wireless, satellite, Internet, and the like), application provider environments, services environments, utilities environments, and the like. The UPDP store of a user may be a logical data store which may be implemented using one or more physical storage locations which may be implemented using one or more physical storage devices.

Various embodiments of the UPDP capability provide automated, proactive, and real-time porting of personal data of a user from various locations to a UPDP Store of the user, from which the user may access and control his or her personal data. The UPDP capability may be automated and proactive in that it supports automatic and proactive parsing of sent and received data (i.e., bi-directional data parsing) and automated and proactive porting of sent and received data of the user to the UPDP Store of the user. The UPDP capability may be real-time in that the personal data of the user is automatically ported to the UPDP Store of the user in real-time as the personal data becomes available and/or as determinations are made that the personal data is to be ported to the UPDP Store of the user. The UPDP capability is personal in that the data of the user is ported to the UPDP Store of the user such that the personal data is available forever while the user retains control over security/privacy of his or her data. The UPDP capability, by allowing cloudification of the personal data of a user, provides a highly resilient, always-on solution for personal data management for users. Various embodiments of the UPDP capability address the digital lifestyle needs of the user.

FIG. 1 depicts a high-level block diagram of an exemplary system configured to support universal personal data portability.

As depicted in FIG. 1, UPDP system 100 includes a user device 110 of a user, a plurality of environments 120 which may be accessed by the user including a plurality of operator environments 120_O1-120_OM (collectively, operator environments 120_O) and a plurality of provider environments 120_P1-120_PN (collectively, provider environments 120_P), and a UPDP Store 130 of the user. The UPDP system 100 also includes a communication network 140, which may be the Internet, one or more Intranets, and the like, as well as various combinations thereof, and which also may be considered to include the various elements and components of such networks (e.g., core network elements, access network elements of one or more access networks, and the like, as well as various combinations thereof). The UPDP system 100 also includes a UPDP Core Engine 150 accessible via the communication network 140 (which also may be referred to herein as a core data porting engine or a data porting control engine).

The user device 110 is configured to enable the user to participate in the UPDP system 100, thereby enabling the user to access and use various features of the UPDP capability. For example, user device 110 may be a desktop computer, a laptop computer, a tablet computer, a smartphone, and the like. As depicted in FIG. 1, user device 110 includes a UPDP Client Module 115 configured to perform various functions of the UPDP capability.

The environments 120 may include any suitable types of environments which may store personal data of the user.

The operator environments 120_O may include environments of any suitable communications operators (e.g., wireline network operators, wireless network operators, and the like).

The provider environments 120_P may include environments of any entities that collect personally identifiable information on the user.

For example, such environments may include one or more of a web environment, a work environment, a utilities services environment, a financial services environment, a medical services environment, an entertainment environment, a public services environment, a cloud environment, and the like, as well as various combinations thereof.

For example, such entities may include public information entities (e.g., media entities, government entities, and the like), retail information entities (e.g., stores, credit card companies, airlines, and the like), Internet information entities (e.g., search engines, social networking companies, websites, and the like), financial entities (e.g., banks, brokerage companies, insurers, and the like), utility entities (e.g., electric company, gas company, and the like) medical information entities (e.g., doctors, pharmacists, hospitals, and the like), information collection entities (e.g., government entities, employers, marketers, law enforcement, media, and the like), and the like.

The provider environments 120 each store personal data 122 of the user of user device 110 (illustratively, personal data 122_O1-122_OM associated with operator environments 120_O1-120_OM and personal data 122_P1-122_PN associated with provider environments 120_P1-120_PN, respectively).

The personal data 122 of the user may be stored in the respective environments 120 as the user interacts with the respective environments 120, as will be appreciated by one skilled in the art. For example, the user may call a service provider and sign up for a service of the service provider (e.g., telephone service, Internet service, and the like), at which time an operator of the Internet service provider may collect and enter various types of information about the user which is then stored in the environment 120 of the Internet service provider. For example, the user may access a website online and create an account via which the user may request a product(s) or a service(s) from the entity running the website. For example, the user may register with a social networking site, create a profile for the social networking site, and interact with the social networking site, from which activities the social networking site is able to collect and store information provided by the user (e.g., general account information, postings and communications of the user, and the like), information about the user, and the like, as well as various combinations thereof. For example, the user may use a service of a service provider and, as the user uses the service, the environment 120 of the service provider may be configured to log information associated with the use of that service by the user (e.g., types of content requested from a content provider, searches performed using a search engine of an Internet searching website, user preference information of the user, and the like, as well as various combinations thereof). The types of personal data 122 stored in such environments 120 and the manner in which such personal data 122 is collected by and stored in such environments 120 will be understood by one skilled in the art.

The personal data 122 of the user may include any data that is personal to the user that may be stored in any of the environments depicted and described herein. For example, personal data 122 of the user may include one or more of account information (e.g., name, address, gender, login and password information, and the like, as well as various combinations thereof), applications of the user, electronic communications of the user (e.g., emails, Internet postings, blog information, and the like), social networking data (e.g., lists of friends on social networking sites, interactions via social networking sites, postings by the user on social networking sites, and the like), search data from searches performed by the user using one or more Internet search engines, user preference information (e.g., content preferences, product preferences, and the like), service usage information, billing information, and the like, as well as various combinations thereof.

The personal data 122 of the user, which is associated with the various environments 120, is ported into the UPDP Store 130 of the user.

In one embodiment, where the personal data 122 of the user is already stored in one of the environments 120, the personal data 122 of the user is ported from the environment 120 to the UPDP Store 130 of the user. It is noted that the personal data 122 of the user may be ported from the environment 120 to the UPDP Store 130 of the user automatically (e.g., when the personal data 122 is entered into the environment 120, in response to detection of one or more events or conditions, based on one or more rules associated with the environment 120, and the like, as well as various accommodations thereof) and/or in response to a manual request of the user.

In one embodiment, where personal data of the user is provided from the user device 110 of the user and is intended for one of the environments 120, the personal data of the user is provided to the environment 120 and is then ported from the environment 120 to the UPDP Store 130 of the user. In this embodiment, the personal data 122 of the user may be ported from the environment 120 to the UPDP Store 130 of the user in any suitable manner as described herein with respect to the case in which the personal data 122 of the user is already stored in the environment 120 (e.g., the later porting of the personal data 122 from the environment 120 to the UPDP Store 130 the user may be performed in real time (e.g., such that the environment 120 and the UPDP Store 130 of the user remain synchronized in real-time or near real-time) or off-line (e.g., automatically using delayed triggering, manually in response to requests initiated by the user, and the like)).

In one embodiment, where personal data of the user is provided from the user device 110 of the user and is intended for one of the environments 120, the personal data of the user is provided to the UPDP Store 130 of the user first, and is then provided to the environment 120 (i.e., the personal data is stored via the UPDP capability prior to being sent to environment 120 for which the personal data was originally intended). This embodiment may be provided by any device configured to detect personal data being sent from user device 110 to one of the environments 120 and initiate this process to have the personal data provided to the UPDP Store 130 before being provided to environment 120 (e.g., by UPDP client module 115, by a network device or module disposed in a path between the user device 110 and the environment 120, by a device at the edge of the environment 120, and the like).

The personal data 122 of the user may be ported into the UPDP Store 130 of the user in any other suitable manner.

The UPDP Store 130 of the user is configured to store the personal data 122 of the user as UPDP data 123 of the user. For example, personal data 122_O1-122_OM of operator environments 120_O1-120_OM may be stored as UPDP data 123_O1-123_OM, respectively. Similarly, for example, personal data 122_P1-122_PN of provider environments 120_P1-120_PN may be stored as UPDP data 123_P1-123_PN, respectively. It is noted that personal data 122 that is ported to UPDP Store 130 and stored as UPDP data 123 may be ported and stored in its original form and/or may be adapted into a different form (e.g., using different formatting, combined with other types of personal data, and the like, as well as various combinations thereof), such that UPDP data 123 may be considered to represent personal data 122 in original form and/or in modified form. In one embodiment, the UPDP data 123 is encrypted (e.g., by default and/or in response to requests of the user) using one or more security mechanisms. In one embodiment, the UPDP data 123 is encrypted based on the data types of UPDP data 123.

The UPDP Store 130 of the user is configured to respond to requests for UPDP data 123 initiated by the user (e.g., via user device 110 and/or any other suitable user device), which also may be considered to be requests for personal data 122 stored in environments 120 but which is now more easily obtained by the user from the UPDP Store 130. In this manner, UPDP Store 130 is configured to provide the user with direct controller over UPDP data 123 which includes the various portions of the personal data 122 from the environments 120.

The UPDP store 130 of a user may be implemented as one or more logical data store which may be implemented using one or more physical storage devices disposed at one or more physical storage locations. In at least some such implementations, the UPDP Store 130 of the user enables the personal data 122 of the user to be cloudified as UPDP data 123.

The UPDP Store 130 of the user is depicted as being accessible by user device 110 for purposes of illustrating that the UPDP data 123 that is stored in UPDP Store 130 may be accessed by the user at any time. The UPDP Store 130 of the user is depicted as being accessible from communication network 140 for purposes of illustrating that the UPDP data 123 that is stored in UPDP Store 130 may be ported to the UPDP Store 130 from the environments 120. The UPDP Store 130 may be implemented in any manner suitable for cloudifying the personal data 122 of the user as personal data 122. FIGS. 2-4 depict exemplary embodiments for implementation of UPDP Store 130.

FIG. 2 depicts a high-level block diagram of an exemplary system illustrating implementation of a UPDP Store using a network-based cloud. As depicted in FIG. 2, in exemplary system 200 the UPDP Store 130 of the user is implemented using a network-based cloud 210. The network-based cloud 210 may use one or more cloud services of one or more cloud service providers (e.g., using a cloud service(s) of a communications service provider, using a cloud service(s) of a third-party cloud provider, and the like, as well as various combinations thereof). The personal data 122 of the user is ported from environments 120 to UPDP Store 130 in network-based cloud 210 (to provide thereby UPDP data 123) via the communication network 140. The user accesses UPDP data 123 of UPDP Store 130 from the network-based cloud 210 via the communication network 140.

FIG. 3 depicts a high-level block diagram of an exemplary system illustrating implementation of a UPDP Store using a personal cloud. As depicted in FIG. 3, in exemplary system 300 the UPDP Store 130 of the user is implemented using a personal network 310 including a UPDP storage device 312 which may be used as a personal cloud of personal network 310. The personal network 310 may be a home network of the user of user device 110 or any other suitable network hosting a user device(s) of the user. The UPDP storage device 312 may be any UPDP-enabled plug and play device configured to store UPDP data 123 of UPDP Store 130 (e.g., including built-in preprogrammed intelligence related to supporting UPDP functions). The personal data 122 of the user is ported from environments 120 to UPDP Store 130 in UPDP storage device 312 of personal network 310 (to provide thereby UPDP data 123) via the communication Network 140. The user accesses UPDP data 123 of UPDP Store 130 from UPDP storage device 312 of personal network 310 via user device 110 or any other user device via which the user may access personal network 310.

FIG. 4 depicts a high-level block diagram of an exemplary system illustrating implementation of a UPDP Store using storage space on a client device. As depicted in FIG. 4, in exemplary system 400 the UPDP Store 130 of the user is implemented using client storage 410 of user device 110. Although primarily depicted and described with respect to an embodiment in which client storage 410 is internal storage of user device 110, it is noted that client storage 410 may include internal and/or external storage of user device 110. The personal data 122 of the user is ported from environments 120 to UPDP Store 130 in client storage 410 of user device 110 (to provide thereby UPDP data 123) via the communication network 140. The user accesses UPDP data 123 of UPDP Store 130 from client storage 410 of user device 110 locally at user device 110.

Although omitted for purposes of clarity, it is noted that combinations of two or more of the personal data store implementations of FIGS. 2-4 may be used in combination to provide the UPDP Store 130.

Returning now to FIG. 1, it is noted that the UPDP Store 130 enables the personal data of the user to be cloudified from everywhere into the UPDP Store 130 using any suitable implementation of UPDP Store 130 (e.g., using one or more of the implementations of FIGS. 2-4 for the UPDP Store 130 and/or any other suitable implementation for UPDP Store 130). The UPDP Store 130 is accessible by the user from anywhere at any time for any current or future service. The UPDP Store 130 is a high resiliency solution that prevents loss of personal data 122 by enabling multi-storage/location portability such that the personal data 122 is highly portable/reliable and is available to and in control of the user as UPDP data 123 at all times.

The UPDP Core Engine 150 is configured to perform various functions of the UPDP capability.

The UPDP Core Engine 150 maintains UPDP Agents 152 which are configured to use by UPDP Core Engine 150 to control automatic porting of the personal data 122 of the user from the environments 120 to the UPDP Store 130 of the user. As depicted in FIG. 1, UPDP Core Engine 150 maintains UPDP Agents for each of the environments (illustratively, UPDP Agents 152_O1-152_OM associated with operator environments 120_O1-120_OM and UPDP Agents 152_P1-124_PN associated with provider environments 120_P1-120_PN, respectively). This enables automatic cloudification of the personal data 122 of the user from everywhere to the UPDP Store 130 of the user.

The UPDP Core Engine 150 is configured to initiate automatic porting of the personal data 122 of the user from the environments 120 to the UPDP Store 130 of the user in response to various trigger conditions.

The trigger conditions may include detecting that personal data 122 of the user has been stored in one of the environments 120, detecting that the user is providing personal data 122 to one of the environments 120, detecting that a particular data/time (e.g., where personal data 122 is to be ported on particular days, at particular times of day, and the like, as well as various combinations thereof), detecting that a threshold length of time has passed since personal data 122 of the user was last ported to UPDP Store 130, and the like, as well as various combinations thereof. It is noted that the trigger conditions also may be considered to include any detection of receipt of a request by the user for personal data 122 of the user to be ported to UPDP store 130 of the user.

The trigger conditions may be defined as part of the UPDP Agents 152 and/or managed by the UPDP Core Engine 152 without being defined as part of the UPDP Agents 152. In any event, however, each of the UPDP Agents 152 may have one or more trigger conditions defined therein and/or otherwise associated therewith. For example, UPDP Core Engine 150 may monitor two trigger conditions for UPDP Agent 152_O1 associated with environment 120_O1 (assumed, in this example, to be associated with a wireless service provider) as follows: (1) a trigger condition indicating that billing data for the user is to be ported to the UPDP Store 130 of the user each the time billing information is stored as part of the personal data 122_O1 in environment 120_O1; and (2) a trigger condition indicating that service usage information is to be ported to the UPDP Store 130 of the user from the personal data 122_O1 of the user once each day at any off-peak time. For example, UPDP Core Engine 150 may monitor two trigger conditions for UPDP Agent 152_P2 associated with environment 120_P2 (assumed, in this example, to be associated with a social networking application) as follows: (1) a trigger condition indicating that posts to the user by other application users via the application are to be ported to UPDP Store 130 of the user at or close to the time at which they are posted; and (2) a trigger condition indicating that posts made by the user to other application users of the application are to be ported to UPDP Store 130 of the user once each week at an off-peak time.

The UPDP Core Engine 150 may be configured to control automatic porting of the personal data 122 of the user from the environments 120 to the UPDP Store 130 of the user using UPDP Agents 152 in any suitable manner.

In one embodiment, the UPDP Core Engine 150 uses the UPDP Agent 152 for a particular environment 120 to access the relevant personal data 122 from the environment 120 and to cause the relevant personal data 122 from the environment 120 to be ported to the UPDP Store 130 of the user. This is illustrated in FIG. 1 as the UPDP Agents 152 which are included within UPDP Core Engine 150. In one embodiment, the UPDP Agents 152 are configured to simulate user interaction with the environments 120 as if the user were interacting with the environments directly (e.g., simulating user log-in and log-out behavior, and the like).

In one embodiment, the UPDP Core Engine 150 provides the UPDP Agent 152 for a particular environment 120 to that environment 120 temporarily. This is illustrated in FIG. 1 as the dotted-line boxes for UPDP Agents 152 which are included within the environments 120, thereby illustrating that, optionally, the UPDP Agent 152 for a particular environment 120 may be provided to that environment 120 and executed within that environment 120 to thereby cause the relevant personal data 122 of the user to be ported from that environment 120 to the UPDP Store 130 of the user. The UPDP Agent 152 may then be removed from the environment 120 after porting of the associated personal data 122 to the UPDP Store 130 is complete.

In one embodiment, the UPDP Core Engine 150 provides the UPDP Agent 152 for a particular environment 120 to that environment 120 such that the UPDP Agent 152 is maintained in the environment permanently (e.g., more than just temporarily at the time of porting of personal data 122). Although not specifically illustrated in FIG. 1, it will be appreciated that this could be depicted using solid-line boxes for the UPDP Agents 152 which are included within the environments 120. In one embodiment, such as where an environment 120 has a relationship with the UPDP solution, the environment 120 may provide residential space for one or more UPDP Agents 152 to reside within the environment 120 (e.g., under mutual time-bound agreements and/or in accordance with any other suitable type of agreement(s)). In one embodiment, monitoring for trigger conditions which cause a UPDP Agent 152 that is maintained in an environment 120 to initiate porting of personal data 122 from the environment 120 to UPDP Store 130 may be performed locally by the UPDP Agent 152 and/or remotely by the UPDP Core Engine 150. In the case of local monitoring for trigger conditions, detection of a trigger condition by the UPDP Agent 152 thereby causes the UPDP Agent 152 to send relevant personal data 122 from the environment 120 to the UPDP Store 130 of the user. In the case of remote monitoring for trigger conditions, detection of a trigger condition by the UPDP Core Engine 150 thereby causes the UPDP Core Engine 150 to send a data porting request to the UPDP Agent 152 of the environment 124 causing the UPDP Agent 152 to send relevant personal data 122 from the environment 120 to the UPDP Store 130 of the user. It is noted that combinations of local and remote monitoring may be used.

In at least some such embodiments, the UPDP Agents 152 may be configured to automatically port the personal data 122 of the user from the environments 120 to the UPDP Store 130 of the user. The UPDP Agents 152 may be implemented as always-on agents configured to securely port the personal data 122 to UPDP Store 130 at any time such data porting is needed or desired. In one embodiment, the UPDP Core Engine 150 is configured to act as an intelligent broker to requests from the user device 110 for data from the UPDP Store 130. This intelligent broker capability may include determining how the UPDP data 123 needs to be presented at the user device 110 and the associated presentation layer functionalities utilized to present the UPDP data 123 at the user device 110. The UPDP Core Engine 150 may be configured to provide various other types of tools for supporting porting of personal data 122 from the environments 120 to UPDP Store 130 and/or for supporting retrieval of UPDP data 123 from the UPDP Store 130 for delivery and presentation to the user.

In one embodiment, the UPDP Core Engine 150 may be configured to maintain a set of Application Programming Interfaces (APIs) which may be provided from the UPDP Core Engine 150 to environments 120 for use by the environments 120 in porting personal data 122 from the environments 120 to the UPDP Store 130 of the user. In this embodiment, an API suitable for use in an environment 120 may be provided to that environment 120, maintained on one or more elements and/or systems of that environment 120, and then used by the one or more elements and/or systems of that environment 120 to facilitate communications related to porting of personal data 122 from that environment 120 to the UPDP Store 130 of the user (e.g., to facilitate communication between the one or more elements and/or systems of that environment 120 and an associated UPDP Agent 152 maintained on the UPDP Core Engine 150 for that environment 120 and/or to facilitate transfer to the environment 120 of an associated UPDP Agent 152 maintained on the UPDP Core Engine 150 for that environment 120 such that the UPDP Agent 152 may be executed within the environment 120). The APIs may be configured at any suitable granularity (e.g., an API configured for use by multiple environments 120 of different types, an API configured for use by multiple environments 120 of the same type, an API configured for use by one of the environments 120, an API configured for use by one or more elements/systems of one of the environments 120, and the like).

In one embodiment, the UPDP Core Engine 150 may be configured to maintain a set of engines and/or tools which may be provided from the UPDP Core Engine 150 to the user device 110 of the user for use by the user device 110 in providing and/or configuring the UPDP client module 115 of the user device 110. For example, such engines and/or tools may include engines configured for use by the user in configuring aspects of personal data porting, engines configured for use by the user in configuring aspects of UPDP data presentation and control, a UPDP thin agent, and the like as well as various combinations thereof. It is noted that such engines and/or tools may be provided to the user device 110 when the user initially registers for the UPDP service, when a user requests one or more engines and/or tools for use in configuring his or her UPDP service, and the like as well as various combinations thereof.

The UPDP Core Engine 150 may be configured to provide various other functions in support of the UPDP service made available to end users. For example, UPDP Core Engine 150 may support creation, deletion, and modification of UPDP user accounts. For example, UPDP Core Engine 150 may support profile creation for automated tracking of UPDP data 123 and, thus, automated tracking of personal data 122 of the environments 120. For example, UPDP Core Engine 150 may support data decoupling functions for decoupling of personal data 122 from the environment 120 with which the personal data 122 is associated. For example, UPDP Core Engine 150 may support network re-configuration capabilities. The UPDP Core Engine 150 may be configured to provide various other functions.

The UPDP Core Engine 150 may communicate with communication network 140 in any suitable manner. In one embodiment, as depicted in FIG. 1, UPDP Core Engine 150 is implemented within a UPDP Operator Network 159 (e.g., where the UPDP Operator the UPDP service to end-users). In one embodiment, omitted from FIG. 1 for purposes of clarity, UPDP Core Engine 150 is implemented independent of the UPDP Operator Network. The UPDP Core Engine 150 may be deployed in any other suitable manner.

In this manner, the UPDP Core Engine 150 is configured to support automatic cloudification of the personal data 122 of the user from everywhere to the UPDP Store 130 of the user to form thereby UPDP data 123 accessible to the user from the UPDP Store 130.

The UPDP system 100 enables the digital life of the user to become extremely portable with seamless data continuity. The UPDP system enables the personal data of the user to be cloudified. The UPDP system 100 enables analysis of cloudified personal data of the user, thereby providing tracking of lifestyle trends and sub-trends and, thus, providing structure and clarity to the evolving needs, behavior, and attitude of the user. The UPDP system 100 securely positions the user to intelligently and easily access and use value added data services of service and application providers without comprising privacy and security. The UPDP system 100 enables the user (i.e., the original data/content owner) to receive data offloading, data control, privacy control, data as a service channels and assets, and the like, as well as various combinations thereof. The UPDP system 100 supports session-related functions such as context-aware proactive session brokering, synchronous and/or asynchronous session brokering, real-time session following, and the like, as well as various combinations thereof. The UPDP system 100 supports quality of protection by implementing end-to-end user-defined security and privacy control. The UPDP system 100 is configured for legacy data support and future data technology support.

The manner in which various elements of UPDP system 100 provide these and other functions of the UPDP capability will be better understood by considering the UPDP Client Module 115, UPDP Agents 152, and UPDP Core Engine 150, in additional detail.

The UPDP Client Module 115 is configured to perform various UPDP client functions. An exemplary UPDP client module 115 is depicted and described with respect to FIG. 5.

FIG. 5 depicts a high-level block diagram of an exemplary UPDP client module for use at a client device to support universal personal data portability.

As depicted in FIG. 5, UPDP client module 115 includes a processor 510, a memory 520, and an input-output module 530. The processor 510 is communicatively coupled to the memory 520 and the input-output module 530. The memory 520 includes a number of elements configured to support various functions of the UPDP capability. The input-output module 530 supports communication to and from UPDP client module 115.

The memory 520 includes engines which may be executed by the processor 510 to perform various functions of the UPDP capability, including a personal data porting configuration engine 521, a UPDP data presentation and control engine 522, and one or more other functional engines 523.

The personal data porting configuration engine 521 is configured to support a capability via which the user of user device 110 can configure the UPDP service to support porting of personal data to UPDP Store 130. For example, personal data porting configuration engine 521 may be configured to provide a user interface via which the user can manage a user profile of the user for the UPDP service, manage account information of the user for the UPDP service, manage personal data porting templates (e.g., review personal data porting templates available from UPDP Core Engine 150, modify and save personal data porting templates, initiate sending of personal data porting templates to environments 120, retrieve and modify personal data porting templates maintained by the environments 120, and the like, as well as various combinations thereof), and the like, as well as various combinations thereof.

The personal data presentation and control engine 522 is configured to support presentation of UPDP data of the UPDP Store 130 to the user and control of the UPDP data of the UPDP Store 130 by the user via a user interface of user device 110.

In one embodiment, the UPDP data presentation and control engine 522 is configured to provide a user interface configured to enable the user to access the UPDP data from the UPDP Store 130.

In one embodiment, the UPDP data presentation and control engine 522 is configured to provide a plurality of applications configured to enable the user to access the UPDP data from the UPDP Store 130. The applications may be configured to provide access to respective portions of the UPDP data based on data types of the UPDP data. The applications may be configured to provide access to respective portions of the UPDP data of a given data type even where the UPDP data of the given data type is ported to the UPDP Store 130 from multiple environments 120. It is noted that the data types may be based on one or more of market segment, application type, application, demographic information, and the like, as well as various combinations thereof. It is noted that the data types may be arranged in any suitable manner, which may include hierarchical arrangements of data types (which also may include embedding of data types within other data types) using any suitable hierarchy (e.g., any suitable number of hierarchical layers, and data types per hierarchical layer, may be supported).

In one embodiment, the UPDP data presentation and control engine 522 is configured to support smart-tagging of personal data residing in the UPDP Store 130, thereby enabling faster searching, mining, and retrieval of UPDP data 123 from the UPDP Store 120.

The UPDP data presentation and control engine 522 may be configured to provide various other functions.

An example embodiment of UPDP data presentation and control engine 522 is depicted and described with respect to FIG. 6.

The memory 520 includes a UPDP Thin Agent 524. The UPDP Thin Agent 524 is a lightweight UPDP Client application. The UPDP Thin Agent 524 is configured to communicate with other UPDP elements (e.g., the UPDP Store 130, UPDP Core Engine 150, UPDP Agents 152, and the like) using any suitable signaling standards (which, in at least some embodiments, may include one or more proprietary UPDP signaling standards). The UPDP Thin Agent 524 may be configured to respond to requests which are initiated by the UPDP Agents 152. The UPDP Thin Agent 524 may provide a front-end and a dashboard solution to the end user, via which the user may control various configuration options (e.g., configuration of various aspects of personal data porting, configuration of various aspects of presentation and control of UPDP data retrieved from the UPDP Store 130, and the like), request retrieval of the UPDP data from UPDP Store 130, review and interact with UPDP data retrieved from the UPDP Store 130 and presented via one or more presentation interfaces of the user device 110, and the like, as well as various combinations thereof. It is noted that, although primarily depicted and described as a standalone element (which may interact with personal data porting configuration engine 521, UPDP data presentation and control engine 522, and/or any other elements of UPDP client module 115), functions of UPDP Thin Agent 524 may be provided as part of personal data porting configuration engine 521 and/or UPDP data presentation and control engine 522.

The memory 520 includes a UPDP First Control Mechanism 525. This enables UPDP Client Module 115 to request that UPDP Core Engine 150 port personal data of the user to the UPDP Store 130 of the user first, before the personal data is provided to the environment 120 for which the personal data 122 is intended. This is illustrated as an OFF/ON toggle capability in which (1) when the mechanism is set to OFF, proactive porting of personal data 122 to UPDP Store 130 is not active (i.e., personal data 122 is provided to the appropriate environments 120 first and then ported from the environments 120 to the UPDP Store 130 of the user in accordance with the associated UPDP Agents 152), and (2) when the mechanism is set to ON, proactive porting of personal data 122 to UPDP Store 130 is active (i.e., personal data 122 is provided to the UPDP Store 130 first and is then provided to the appropriate environment 120 for storage as personal data 122 within the environment 120). The UPDP First Control Mechanism 525 may be configured such that OFF is the default setting or ON is the default setting. The UPDP First Control Mechanism 525 may be set by the user via the user device 110 in any suitable manner (e.g., using personal data porting configuration engine 521, via a UPDP front-end dashboard provided by UPDP Thin Agent 524, and the like, as well as various combinations thereof). It will be appreciated that, although depicted and described as an OFF/ON toggle capability (for purposes of clarity), a lower granularity of control may be provided (e.g., setting per data type, per environment, and the like, as well as various combinations thereof).

The memory 520 includes a Data Security Mechanism 526. The Data Security Mechanisms 526 support encryption/decryption of data related to the UPDP capability.

The memory 520 includes data 527 related to any of the various elements of the UPDP client module 115. Although primarily depicted and described with respect to an embodiment in which the UPDP client module 115 includes its own processor 510, memory 520, and input-output module 530, it is noted that UPDP client module 115 depicted and described in FIG. 5 may be considered to represent use of resources of user device 110 (illustratively, the processor, memory, and input-output capabilities of the user device 110) to support the UPDP client module 115 (e.g., the UPDP client module 115 is considered to include the engines of memory 520 being executed using the infrastructure of UPDP Client Module 115).

FIG. 6 depicts a high-level block diagram of an exemplary UPDP data presentation and control engine of the UPDP client module of FIG. 5.

As depicted in FIG. 6, UPDP data presentation and control engine 522 of user device 110 includes a set of engines configured to provide various functions from enabling user device 110 to interface with the UPDP Store 130 of the user through enabling the user to view and control UPDP data of the UPDP Store 130. More specifically, UPDP data presentation and control engine 522 of user device 110 includes an interface engine 610, and integration management engine 620, a data analysis engine 630, an information delivery engine 640, and a user interface engine 650.

The interface engine 610 is configured to enable user device 110 to interface with the infrastructure used to maintain the UPDP Store 130 of the user. For example, interface engine 610 may support interfacing with one or more of a network-based cloud where the UPDP Store 130 is maintained using a network-based cloud service, a UPDP storage device of a personal network of the user where the UPDP Store 130 is maintained using a personal cloud implementation, a client storage module(s) where the UPDP Store 130 is maintained using one or more internal and/or external storage modules associated with the user device 110. The interface engine 610 is configured to receive UPDP data from the UPDP Store 130 and provide the received UPDP data to integration management engine 620 for processing.

The integration management engine 620 is configured to receive UPDP data from interface engine 610 and process the UPDP data to integrate the received UPDP data in a manner enabling display of the UPDP data to the user and control of the UPDPI data by the user. The integration of the UPDP data may include integration of common and/or different types of UPDP data received from common and/or different types of environments. For example, integration of the UPDP data may include integration of common types of financial data received from two different financial institutions (e.g., where the information is formatted differently by the two institutions), different types of energy consumption information received from two different types of energy providers (e.g., gas and electric companies), common types of social networking data received from common types of social networking sites, different types of network usage information received from common types of network providers, and the like. The integration management engine 620 is configured to provide the integrated UPDP data to the data analysis engine 630.

The data analysis engine 630 is configured to receive the integrated UPDP data from integration management engine 620 and analyze the integrated UPDP data in a manner enabling display of the UPDP data to the user and control of the UPDP data by the user. For example, analysis of the integrated UPDP data may include one or more of data warehousing, indexing amended data, master data management (MDM) for ensuring quality of the UPDP data, and the like, as well as various combinations thereof. The data analysis engine 630 is configured to provide the analyzed UPDP data to the information delivery engine 640.

The information delivery engine 640 is configured to receive the analyzed UPDP data from data analysis engine 630 and process the analyzed UPDP data in a manner enabling display of the UPDP data to the user and control of the UPDP data by the user. For example, processing of the analyzed UPDP data may include use of one or more of analytics, search and/or discovery mechanisms, workflow modeling functions, location-based portal capabilities, and the like, as well as various combinations thereof. The information delivery engine 640 is configured to provide the processed, analyzed UPDP data to the user interface engine 650.

The user interface engine 650 is configured to receive the processed, analyzed UPDP data from the information delivery engine 640 and present the UPDP data to the user, thereby enabling the user to view and interact with the UPDP data. The user interface engine 650 may be configured to support various capabilities via which the user can view the UPDP data and, optionally, interact with UPDP data. For example, the user interface engine 650 may support one or more of dashboard/scorecard visualization mechanisms, reporting mechanisms, search/discovery mechanisms, and the like, as well as various combinations thereof.

Although primarily depicted and described herein with respect to use of the UPDP data presentation and control engine 522 in a direction from receipt of UPDP data at user device 110 to presentation of UPDP data to the user via user device 110, it is noted that the UPDP data presentation control engine 522 also may be used to support various types of communications and functions in a direction from a user interface of user device 110 to transmission of information related to the UPDP service from user device 110 toward one or more other devices.

Returning now to FIG. 5, it is noted that user device 110 may be configured to support various other capabilities.

In one embodiment, the UPDP client module 115 of user device 110 includes or is implemented as a personal data agent application or applications, where the personal data agent application(s) may be executed by one or more processor in order to support any of the functions depicted and described herein as being supported by UPDP client module 115 of user device 110.

The UPDP Agents 152 are configured to perform various UPDP agent functions. As described herein with respect to FIG. 1, UPDP Agents 152 may be resident on UPDP Core Engine 150 and/or within environments 120 (e.g., temporarily at the time of data porting and/or more permanently). In one embodiment, a UPDP Agent 152 associated with an environment 120 may be configured to control automated porting of personal data from the environment 120 to UPDP Stores of users of the environment 120.

An exemplary UPDP Agent 152 is depicted and described with respect to FIG. 7.

FIG. 7 depicts a high-level block diagram of an exemplary UPDP Agent for use by an environment to support universal personal data portability.

As depicted in FIG. 7, UPDP Agent 152 includes a processor 710, a memory 720, and an input-output module 730. The processor 710 is communicatively coupled to the memory 720 and the input-output module 730. The memory 720 includes a number of engines which may be executed by processor 710 to perform various functions of the UPDP capability, including a personal data porting control engine 721 and one or more other engines 722. The memory 720 also includes information and data which may be used by the engines, including environment templates 725, user templates 726, and other data 727.

The personal data porting control engine 721 is configured to control porting of personal data of the user from the environment 120 to the UPDP Store 130 of the user. For example, personal data porting control engine 721 may monitor for trigger conditions which, when detected, trigger automated porting of personal data of the user from the environment 120 to the UPDP Store 130 of the user. For example, personal data porting control engine 721 may initiate retrieval of personal data from the environment 120 and sending of the personal data to the UPDP Store 130 of the user (e.g., at predetermined times, in response to detection of trigger events or conditions, and the like. The personal data porting control engine 721 may be configured to provide any other functions of UPDP Agents 152 as depicted and described herein. The other control engine(s) 722 may provide any other functions depicted and described herein as being supported by UPDP Agent 152.

The environment templates 725 include templates configured for use by the entity which controls the environment 120 for use in configuring the UPDP Agent 152 in accordance with the environment 120 (e.g., with requirements and/or preferences of the entity which controls the environment 120). The environment templates 725 may specify rules regarding porting of personal data from the environment 120 to UPDP Stores of users (e.g., types of personal data which the entity permits to be ported, types of data which the entity prohibits from being ported, and the like). The environment templates 725 may be retrieved by the entity which controls the environment 120, configured by the entity which controls the environment 120, and stored at the UPDP Agent 152 for use by personal data porting control engine 721 in controlling porting of personal data for the user. It is noted that the environment templates 725 may be used by the UPDP Agent 152 to performing porting of personal data and/or may be processed by UPDP Core Engine 150 to configure one or more UPDP Agents 152 to be able to performing porting of personal data.

The user templates 726 include templates configured for use by the user of the user device 110 for use in configuring the UPDP Agent 152 in accordance with the requirements and/or preferences of the user for the associated environment(s) 120 for which the UPDP Agent 152 is intended to be used. The user templates 726 may be retrieved by the user, configured by the user, and stored at the UPDP Agent 152 for use by personal data porting control engine 721 in controlling porting of personal data for the user. It is noted that the user templates 726 may be used by the UPDP Agent 152 to performing porting of personal data and/or may be processed by UPDP Core Engine 150 to configure one or more UPDP Agents 152 to be able to performing porting of personal data.

The UPDP Agent 152 associated with an environment 120 may be configured by the UPDP service provider which operates the UPDP Core Engine 150, by the entity responsible for the environment 120 using various configuration tools which may be provided to the entity from UPDP Core Engine 150, by one or more third-party providers (e.g., template providers, API providers, and the like) using various configuration tools which may be provided to the entity from UPDP Core Engine 150, and the like, as well as various combinations thereof.

Although primarily depicted and described herein with respect to an embodiment in which a single UPDP Agent 152 is associated with a specific environment, it is noted that any suitable number of UPDP Agents 152 may be associated with all and/or part of one or more environments 120. The UPDP Core Engine 150 is configured to perform various functions in support of the UPDP capability.

In one embodiment, UPDP Core Engine 150 may be configured to support functions for enabling users to use the UPDP service (e.g., supporting user registration for the users, maintaining user profiles for users, providing configuration/control mechanisms for use by users in configuring and controlling aspects of automated porting of personal data, providing configuration/control mechanisms for use by users in configuring and controlling aspects of retrieval and presentation of UPDP data 123 from the UPDP Store 130 of the user, and the like, as well as various combinations thereof).

In one embodiment, UPDP Core Engine 150 may be configured to support functions for enabling various entities associated with environments 120 to use the UPDP service (e.g., supporting entity registration, providing configuration/control mechanisms for use by the entities in configuring agents and/or APIs which control automated porting of personal data from the environments 120 to UPDP Stores of users, and the like, as well as various combinations thereof).

In one embodiment, UPDP Core Engine 150 may be configured to include one or more of the following: UPDP base software, one or more standards-based formatting agents, one or more XML translators, one or more security agents, one or more encryption/decryption capabilities, one or more network-based trusted identity functions, one or more UPDP adapter handlers, one or more UPDP agent handlers, one or more UPDP API handlers, one or more analytics functions, one or more search and/or discovery functions, one or more network environment navigators, one or more database navigators, one or more application aware agents, one or more application network intelligence functions, one or more communication protocol handlers, one or more brokering agents, one or more data organizers, and one or more profile/privacy filters.

For example, UPDP Core Engine 150 may be configured to support various related functions.

The UPDP Core Engine 150 may be implemented as a centralized management system, using a cloud-based implementation, and the like. An exemplary implementation of UPDP Core Engine 150 as a centralized management system is depicted and described with respect to FIGS. 8A and 8B. An exemplary cloud-based implementation of UPDP Core Engine 150 is depicted and described with respect to FIGS. 9 and 10.

FIGS. 8A and 8B depict a high-level block diagram of an exemplary UPDP Core Engine implemented as a management system.

As depicted in FIG. 8A, UPDP Core Engine 150 includes a processor 810, a memory 820, and an input-output module 830. The processor 810 is communicatively coupled to the memory 820 and the input-output module 830. The memory 820 includes a number of elements configured to support various functions of the UPDP capability. The input-output module 830 supports communication to and from UPDP Core Engine 150.

The memory 820 includes a number of engines which may be executed by processor 810 to perform various functions of the UPDP capability, including a user control engine 821, an environment control engine 822, and one or more other engines 823.

The user control engine 821 is configured to support functions for enabling users to use the UPDP service (e.g., supporting user registration, maintaining user profiles, providing configuration/control mechanisms for use by users in configuring aspects of automated porting of personal data, and the like, as well as various combinations thereof).

The environment control engine 822 is configured to support functions for enabling various entities associated with environments 120 to use the UPDP service (e.g., supporting entity registration, maintaining entity profiles, providing configuration/control mechanisms for use by the entities in configuring agents and/or APIs which control automated porting of personal data from the environments 120 to UPDP Stores of users, and the like, as well as various combinations thereof).

The other control engine(s) 823 may support various other functions which may be provided by UPDP Core Engine 150 in support of the UPDP capability.

The memory 820 includes a UPDP Agents Library 824. The UPDP Agents Library 824 includes the UPDP Agents 152 for one or more users of the UPDP capability. The UPDP Agents 152 may be created and stored in the UPDP Agents Library 824, accessed from the UPDP Agents Library 824 for updating, accessed from the UPDP Agents Library 824 to be executed for initiating porting of personal data 122 from environments 120, and the like.

The memory 820 includes a UPDP First Control Mechanism 825. This enables UPDP Core Engine 150 to control porting of personal data of users to UPDP Stores of the users based on UPDP First Control Mechanism settings maintained for the users at the UPDP Core Engine 150. The UPDP First Control Mechanism 825 may be set on a per-user basis and/or for one or more groups of users. For purposes of clarity, the UPDP First Control Mechanism 825 and is primarily described within the context of the case of an individual user. For example, the setting of the UPDP First Control Mechanism 525 for the user at user device 110 is communicated from the user device 110 to UPDP Core Engine 150 such that the UPDP First Control Mechanism 825 may be set for the user at the UPDP Core Engine 150 in the manner indicated by the user. As described herein, the UPDP First Control Mechanism 825 controls whether personal data 122 of the user is ported to the UPDP Store 130 of the user before the personal data 122 is provided to the environment 120 for which the personal data 122 is intended or whether personal data 122 of the user is provided to the environment 120 for which the personal data 122 is intended and then subsequently ported from the environment 120 to the UPDP Store 130 of the user. For example, this is illustrated as an OFF/ON toggle capability in which (1) when the mechanism is set to OFF, proactive porting of personal data 122 to UPDP Store 130 is not active (i.e., personal data 122 is provided to the appropriate environments 120 first and then ported from the environments 120 to the UPDP Store 130 of the user in accordance with the associated UPDP Agents 152), and (2) when the mechanism is set to ON, proactive porting of personal data 122 to UPDP Store 130 is active (i.e., personal data 122 is provided to the UPDP Store 130 first and is then provided to the appropriate environment 120 for storage as personal data 122 within the environment 120). The UPDP First Control Mechanism 525 may be configured such that OFF is the default setting or ON is the default setting. It will be appreciated that, although depicted and described as an OFF/ON toggle capability (for purposes of clarity), a lower granularity of control may be provided (e.g., setting per data type, per environment, and the like, as well as various combinations thereof).

The memory 820 includes a Data Security Mechanism 826. The Data Security Mechanisms 826 support encryption/decryption of data related to the UPDP capability.

The memory 820 includes data 827 related to any of the various elements of the Core Engine 150.

As depicted in FIG. 8B, UPDP Core Engine 150 may be virtualized on a per-user basis. The UPDP Core Engine 150 of FIG. 8B is depicted as including the same elements as the UPDP Core Engine 150 of FIG. 8A, however, the UPDP Core Engine 150 of FIG. 8B also is configured to provide a plurality of UPDP Core Engine Virtualizations 899₁-899_N for N different users which may use UPDP Core Engine 150 when using the UPDP service. In this case, each of the N users for which virtualizations are provided is allocated some portion of the processing resources (e.g., processor 810) and some portion of the memory resources (e.g., memory 820) of the UPDP Core Engine 150 for use by the user in configuring, controlling, and using various features of the UPDP service. For the UPDP Core Engine Virtualization 899₁, for example, various elements specific to the associated user are available within a portion of memory 820 that is dedicated for use by that user (illustratively, user control engine(s) 821, an environment control engine(s) 822, other engine(s) 823, UPDP Agents Library 824, UPDP First Control Mechanism 825, Data Security Mechanisms 826, and data 827) and a portion of processor 810 that is dedicated for use by the user may utilize such elements of the user to support various aspects of the UPDP service for the user. It will be appreciated that UPDP Core Engine Virtualizations 899₂ through 899_N may include similar elements appropriately configured for the users of those UPDP Core Engine Virtualizations 899₂ through 899_N, respectively.

Although primarily depicted and described with respect to an embodiment in which the UPDP Core Engine 150 is implemented as a standalone system, it is noted that the various functions depicted and described herein as being supported by the UPDP Core Engine 150 may be distributed across any suitable number of devices in any suitable manner. Furthermore, as noted above, in one embodiment the UPDP Core Engine 150 may be implemented using a cloud-based architecture.

FIG. 9 depicts a high-level block diagram of an exemplary cloud-based implementation of a UPDP Core Engine.

As depicted in FIG. 9, exemplary cloud-based implementation 900 of UPDP Core Engine 150 uses a plurality of sets of virtual machines (VMs) to provide various functions of UPDP Core Engine 150.

The exemplary cloud-based implementation 900 includes a VM 910 (denoted as VM-1) which is configured to support Web services API calls, interfaces, translators, and protocol handlers. It is noted that VM-1 also may be configured to support various other related functions.

The exemplary cloud-based implementation 900 includes a VM 920 (denoted as VM-2) which is configured to support network interface API calls, IMS and non-IMS API interfaces, OpenAPI interfaces, translators, mediation devices, protocol converters, and security parsers. It is noted that VM-2 also may be configured to support various other related functions.

The exemplary cloud-based implementation 900 includes a VM 930 (denoted as VM-3) which is configured to support relational database interfaces, synchronization and simultaneous read/write handlers, and multi-tenanting cloud interfaces and control. It is noted that VM-3 also may be configured to support various other related functions.

The exemplary cloud-based implementation 900 includes a set of VMs 940 (denoted as VM-j1 through VM-jx) which are configured to support encryption and decryption functions, privacy functions, security functions, billing functions, payment functions, and operations and external Business Support System (BSS)/Operations Support System (OSS) interworking protocols. It is noted that VM-j1 through VM-jx also may be configured to support various other related functions.

The exemplary cloud-based implementation 900 includes a set of VMs 950 (denoted as VM-n1 through VM-nx) which are configured to provide a database repository. The database repository may support a customer profile database, a location database, device identifier and session data, and the like. It is noted that VM-n1 through VM-nx also may be configured to store various other types of information related to the UPDP service (e.g., templates, UPDP Agents Libraries, and the like).

The exemplary cloud-based implementation 900 includes a set of VMs 960 (denoted as VM-p1 through VM-px) which are configured to support one or more UPDP data parsers, data analytics, data fusion processing, data migration processing, data dissemination decisions, data cohesion interworking. It is noted that VM-p1 through VM-px also may be configured to support various other related functions.

Although exemplary cloud-based implementation 900 is depicted and described with respect to a specific distribution of the functions of UPDP Core Engine 150 across specific numbers and arrangements of VMs, it is noted that the functions of UPDP Core Engine 150 may be distributed across VMs in any other suitable manner (e.g. using less or more VMs, using different arrangements of VMs, and the like, as well as various combinations thereof).

Although omitted for purposes of clarity, it is noted that exemplary cloud-based implementation 900 may utilize various other features of cloud architectures (e.g., use of multi-tenancy cloud architectures, use of geographic redundancy control, and the like as well as various combinations thereof).

FIG. 10 depicts a high-level block diagram of an exemplary cloud-based implementation of a UPDP Core Engine for illustrating processor and memory management in a cloud-based implementation of a UPDP Core Engine.

The exemplary cloud-based implementation 1000 of UPDP Core Engine 150 includes a set of Virtual Machine (VM) Processors (VMPs) 1010 (denoted as VMP₁-VMP_n) configured to provide various functions of UPDP Core Engine 150.

The set of VMPs 1010 is configured to communicate with one or more external communication networks 1002 (e.g., communication network 140 which may include the Internet and/or one or more Intranets). The communication between the set of VMPs 1010 and the external communication networks is secured by Security Function 1005 which is configured to use one or more Security Protocols 1006 to secure inbound and outbound communications.

The set of VMPs 1010 is configured to manage, access, and utilize various types of applications, structures, data, and the like.

For example, the set of VMPs 1010 is configured to manage, access, and utilize a set of User Profiles (UPs) 1021 (denoted as UP₁-UP_U) which include User Profiles associated with users of the UPDP service. For example, the user profile information of a given UP 1021 of a user may include user account information, UPDP ownership information, UPDP membership information, UPDP Agents associated with the user, and the like, as well as various combinations thereof.

For example, the set of VMPs 1010 is configured to manage, access, and utilize a set of Market Segment UPDP Applications (MSUAs) 1022 (denoted as MSUA₁-MSUA_A) for various market segments for which the UPDP service may be used (e.g., markets such as the telecommunications services market, the utilities services market, the financial services market, the medical services market, the entertainment market, the public services market, and the like). For example, for a given MSUA 1022, the MSUA 1022 may include one or more UPDP applications which may be supported for that market segment.

For example, the set of VMPs 1010 is configured to manage, access, and utilize a set of Market Application Policies (MAPs) 1023 (denoted as MAP₁-MAP_P) which include Market Application Policies associated with MSUAs 1022 of various types of markets. For example, for a given MAP 1023, the MAP 1023 may include one or more application policies associated with one or more UPDP applications of MSUA(s) 1022 corresponding to the associated market segment.

For example, the set of VMPs 1010 is configured to manage, access, and utilize one or more Domain Management Modules 1024. The VMPs 1010 may be dynamically assigned to manage one or more of Security Function 1005, UPs 1021, MSUAs 1022, and MAPs 1023 using the relevant functionality of the Domain Management Modules 1024.

For example, the set of VMPs 1010 is configured to manage, access, and utilize one or more Meta-Data Indexing Structures 1025. The Meta-Data Indexing Structures 1025 may be generated from all of the information and UPDP transactions, including information and UPDP transactions generated by the user via the user device 110 (or any other suitable user device) and/or by the UPDP Agents 152.

For example, the set of VMPs 1010 is configured to manage, access, and utilize other memory 1026 which may be utilized by UPDP Core Engine 150.

The set of VMPs 1010 is configured to manage, access, and utilize various types of programs and data via a communication bus 1030. For example, the set of VMPs 1010 may be configured to manage, access, and utilize programs and/or data from a UPDP Core Engine Tools Repository 1031, a Meta-Data Database 1032, a UPDP Data Store 1033, and a User Information Database 1034.

As described herein, UPDP system 100 is configured to support automatic porting of personal data of a user to a UPDP sStore of the user. In one embodiment, automatic porting of personal data of a user may be provided by using templates to control configuration of UPDP system 100 to support automatic porting of personal data to the UPDP Store of the user. The templates may include templates for use by users, templates for use by entities of the environments 120, and the like, as well as various combinations thereof. The use of such templates is depicted and described herein at least with respect to FIGS. 5, 7, and 9-10.

In one embodiment, one or more templates may be made available to the user for use by the user in configuring various aspects of automatic porting of personal data to the UPDP Store 130 of the user. The templates may be made available to the user from the environments 120 (e.g., for the case in which a template enables the user to configure automatic data porting for that particular environment 120), UPDP Core Engine 150 (e.g., for the case in which a template enables the user to configure automatic data porting across multiple environments 120), and the like, as well as various combinations thereof.

In one embodiment, a template may be configured to enable the user to control automatic porting of personal data of a particular environment 120. The user may use a template to specify which personal data of the user that is in control of the entity is automatically ported to the UPDP Store 130 of the user. The template may be configured to enable the user to specify which personal data is automatically ported to the UPDP Store 130 at any suitable granularity. For example, where a particular entity associated with an environment 120 supports multiple services (e.g., web searching, email, social networking, and the like), the template may be configured to enable the user to specify which data is ported to the UPDP Store 130 of the user on a per-service basis (e.g., automatically port all personal data from the email service, but do not port any personal data from the social networking service), on a per data type basis within and/or across services (e.g., automatically port all sent e-mails but do not port received e-mails for the email service, automatically port all incoming communications from the e-mail and social networking services but do not port any outgoing communications from the e-mail or social networking services, and the like), and the like, as well as various combinations thereof.

In one embodiment, a template may be configured to enable the user to control automatic porting of personal data of multiple environments 120. The user may use a template to specify which types of personal data of the user, which may be in control of one or more entities of one or more environments 120, is automatically ported to the UPDP Store 130 of the user. The template may be configured to enable the user to specify which personal data is automatically ported to the UPDP Store 130 at any suitable granularity. For example, the template may be configured to enable the user to specify porting of personal data on a per-environment basis (e.g., automatically port all personal data from operator environment 120_O1 and provider environment 120_P2, but not from any other environments 120). For example, the template may be configured to enable the user to specify porting of personal data on a per data type basis (e.g., port all login and password information from all environments 120, port all incoming communications from all environments 120, port all financial information from all environments 120, port all energy usage information from all environments 120, and the like). For example, the template may be configured to enable the user to specify porting of personal data using a combination of such granularities.

The configuration of a template by a user may result in various configuration actions. For example, where a user submits a completed template, the template may be stored by UPDP Core Engine 150 (e.g., as part of user profile information of the user), information from the template may be used by UPDP Core Engine 150 to configure one or more UPDP Agents 152 maintained at the UPDP Core Engine 150 for the user, information from the template may be provided to one or more environments 120 for use by the environment(s) in configuring one or more UPDP Agents 152 to perform automated porting of personal data for the user in accordance with the information specified in the template (and/or may be processed to generate configuration information which is then provided to one or more environments 120 for use by the environment(s) 120 in configuring the UPDP Agents 152 to perform automated porting of personal data in accordance with the information specified in the template), and the like, as well as various combinations thereof.

In one embodiment, one or more templates may be made available to an environment 120 for use by the entity that controls that environment 120 in configuring various aspects of automatic porting of personal data of users of the environment 120. The templates may be made available to the user from UPDP Core Engine 150, from one or more systems of the environment 120, from one or more third-party template providers, and the like, as well as various combinations thereof. In one embodiment, a template may be configured by the entity that controls that environment 120 to enable the entity to control the types of personal data permitted to be ported from the environment 120 for the users. For example, where the environment 120 is controlled by a social networking service, the template may be configured such that user account information (e.g., home address, phone number, and the like) is not permitted to be ported outside of the environment 120, but other information (e.g., user posts, messages to users, and the like) is permitted to be ported outside of the environment 120. For example, where the environment 120 is controlled by a bank, the template may be configured such that account numbers are not permitted to be ported outside of the environment 120, but other information (e.g., account balance information, account transaction history, and the like) is permitted to be ported outside of the environment 120.

The configuration of a template by an entity of an environment 120 may result in various configuration actions. For example, upon completion of the template, the template may be stored by UPDP Core Engine 150 (e.g., as part of a profile maintained for the environment 120), information from the template may be used to configure the one or more UPDP Agents 152 for that environment 120 to perform automated porting of personal data in accordance with information specified in the template (e.g., one or more UPDP Agents 152 maintained at UPDP Core Engine 150, one or more UPDP Agents maintained within the environment 120, and so forth), and the like, as well as various combinations thereof.

Although primarily depicted and described with respect to use of templates to control automated porting of personal data, it will be appreciated that any other suitable types of control mechanisms may be used to control automated porting of personal data.

As described herein, UPDP system 100 is configured to support porting of personal data of a user to a UPDP Store of the user. This enables various other capabilities and services to be supported for the user, some examples of which follow.

In one embodiment, UPDP system 100 is configured to support a personal data transfer capability. In this embodiment, when the user switches service providers from a first service provider having a first service provider environment to a second service provider having a second service provider environment, personal data of the user relevant to the relationship of the user with the first service provider is transferred from the UPDP Store of the user to the second service provider environment of the second service provider. The personal data transfer capability may be better understood by way of reference to FIG. 11.

FIG. 11 depicts a high-level block diagram of an exemplary system illustrating use of the personal data transfer capability to transfer personal data between network operator environments.

As depicted in FIG. 11, exemplary system 1100 is similar to UPDP system 100 of FIG. 1.

The user associated with user device 110 first registers with a first operator (e.g., a telecomm company, a cable provider, and the like), having a first operator environment 120_O1, from which the user receives Internet access. The first operator collects personal data of the user while the user uses the various services of the first operator. As depicted and described herein, the personal data of the user that is available from the first operator environment 120_O1 of the first operator is automatically ported to the UPDP Store 130 of the user.

The user associated with user device 110, at a later point in time, decides to switch from the first operator to a second operator having a second operator environment 120_O2, from which the user will receive Internet access going forward. The user cancels the service from the first operator and registers with the second operator (e.g., for switching from one telecomm company to another telecomm company, for switching from a cable provider to a telecom company, or for any other reason).

In the absence of the UPDP capability depicted and described herein, the personal data of the user that was collected and maintained in the first operator environment 120_O1 of the first operator would be lost to the user when the user cancels service from the first operator and, thus, could not be provided to the second operator. The UPDP capability, however, by enabling automatic porting of the personal data of the user from first operator environment 120_O1 to UPDP Store 130 ensures that the personal data of the user that was collected and maintained in the first operator environment 120_O1 of the first operator is not lost to the user when the user cancels service from the first operator. Furthermore, the personal data transfer capability enables the personal data of the user that was collected and maintained in the first operator environment 120_O1 of the first operator to be transferred (e.g., automatically in response to detecting that the user registers with the second operator or manually in response to a request of the user) from the UPDP Store 130 of the user to second operator environment 120_O2 of the second operator. This enables the second operator to quickly and easily obtain personal data of the user that is or may be relevant to the relationship between the user and the second operator.

In one embodiment, UPDP system 100 is configured to support a file system and content tagging capability. In this embodiment, content items (e.g., files, media content, and the like) are tagged with content importance tags, where a content importance tag for a content item indicates the importance level of the content in the content item. The user may set the content importance tags for the content items manually. The user may mark various types of content with content importance tags (e.g., content created by the user, content reviewed by the user while browsing or consuming content, and the like). The content importance tags available to the user may include any suitable numbers and types of tags. In one example, supported content importance tags may include: “F” (the content item is importance, and is finalized and ready to be shared), “NF” (the content item is important but is not finalized and, thus, not ready to be shared), and “DC” (the content item is not important and, thus, the user does not care if the content item is shared before it is finalized). It is noted that these content importance tags are only exemplary and, thus, that fewer or more (as well as other types) of content importance tags may be used. In this embodiment, UPDP functions can be configured to automatically determine whether to transfer content items to the UPDP Store of the user based on the content importance tags of the content items set by the user. For example, in continuation of the example describing the exemplary content importance tags discussed above, the UPDP functions may be configured to automatically transfer content items marked with “F” and “DC” to the UPDP Store of the user and not to transfer content items marked with “NF” to the UPDP Store of the user. In this manner, the user may automate cloudification of content via simple setting of content importance tags.

In one embodiment, UPDP system 100 is configured to support an automated data sharing capability.

In one embodiment, the user is provided with a capability to control one or more data sharing windows or ports which enable user-controlled sharing of personal data of the user (namely, the UPDP data of the user that is stored in the UPDP Store of the user). The data sharing ports may be associated with the user in any suitable manner (e.g., by providing each account and/or sub-account of the user with one or more data sharing ports, by associating one or more data sharing ports with each of one or more content types of the UPDP data of the user, and the like, as well as various combinations thereof). The data sharing ports may be associated with the user in advance and/or in real-time. The data sharing ports may be set to a default setting of disabled such that the data sharing ports are inactive and, thus, the associated UPDP data of the user is only accessible to the user (or other owner(s) or member(s) having access privileges), thereby ensuring the privacy of the UPDP data of the user. The user can enable inactive ports for specific types of UPDP data as needed and/or desired and, similarly, can disable active ports for specific types of UPDP data as needed and/or desired.

The enabling of a data sharing port for a specific type of UPDP data thereby makes that UPDP data accessible for use by third parties, such that UPDP agents of the third parties may automatically access the UPDP data via the active data sharing port and use the available UPDP data for performing various types of functions which may be performed using such UPDP data (e.g., for targeting advertising to the user, for proposing bids for the user, and the like, as well as various combinations thereof). For example, where the user is interested in purchasing a car, the user may activate a data sharing port providing third-party access to UPDP data of the user which may be relevant to purchase of a car (e.g., size of the family, car preferences, and the like), and car manufacturers may access this UPDP data via the data sharing port and provide targeted advertisements and/or bids to the user. Similarly, for example, where the user is interested in renting a movie, the user may activate a data sharing port providing third-party access to UPDP data of the user which may be relevant to selection of a movie, and movie renting services may access this UPDP data via the data sharing port and provide targeted advertisements and/or bids to the user. It is noted that the foregoing examples are merely a few of the types of UPDP data which may be made available by a user via a data sharing port and a few of the ways in which third-parties may utilize such UPDP data.

An exemplary use of data sharing port is depicted and described with respect to FIG. 12.

FIG. 12 depicts a high-level block diagram illustrating user-based control of data ports configured to control access to portions of UPDP data stored in a UPDP Store of a user.

As depicted in FIG. 12, in the UPDP Store 130 of a user the UPDP data of the user is organized into data types using a plurality of data type ports 1210₁-1210_N (collectively, data type ports 1210), which are denoted as Data Type Port T₁ through Data Type Port T_N. The data type ports 1210 may be defined for any suitable data types and at any suitable granularity.

The data type ports 1210₁-1210_N include sets of sharable data 1212₁-1212_N (collectively, sharable data sets 1212), which are denoted as Sharable Data (Type₁) through Sharable Data (Type_N), respectively. The sharable data set 1212 for a given data type port 1210 includes any UPDP data of the user of that data type port 1210 that the user has indicated is sharable when access to that data type port 1210 is enabled by the user (which may include all UPDP data of the data type for that data type port 1210 or a subset of the UPDP data of the data type for that data type port 1210).

The data type ports 1210₁-1210_N have data type keys 1214₁-1214_N (collectively, data type keys 1214) associated therewith (which are denoted as Type₁ Key through Type_N Key), respectively. The data type keys 1214₁-1214_N provide keys into respective data type ports 1210₁-1210_N via which the user of UPDP Store 130 is able to control activation and deactivation of the data type ports 1210.

As depicted in FIG. 12, a UPDP User Control Panel 1220 provides a user interface via which the user of the UPDP Store 130 may control activation and deactivation of the data type ports 1210 and, thus, activation and deactivation of the associated negotiation channels 1216 of the data type ports 1210, respectively. The data type ports 1210 are configured to be controlled individually via the UPDP User Control Panel 1220. The UPDP User Control Panel 1220 may be provided on user device 110 and/or may be accessible by the user from any user device.

As depicted in FIG. 12, activation and deactivation data type ports 1210₁-1210_N by the user via UPDP User Control Panel 1220 results in activation and deactivation of respective negotiation channels 1231₁-1231_N (collectively, negotiation channels 1231) between the sharable data 1212₁-1212_N of data type ports 1210₁-1210_N and entities of an Entities Ecosystem 1230.

The Entities Ecosystem 1230 represents entities which may be interested in accessing and using UPDP data of the UPDP Store 130 of the user. For example, Entities Ecosystem 1230 may include entities such as service providers, application providers, third-party entities, and the like, as well as various combinations thereof. In one embodiment, omitted from FIG. 12 for purposes of clarity, Entities Ecosystem 1230 may be an open world in which any entity may access sharable data 1212 of any data type port 1210. In one embodiment, as depicted in FIG. 12, Entities Ecosystem 1230 may be organized into sets of entities (illustratively, set of Entities T₁ through set of Entities T_N where access to sharable data 1212 of data type ports 1210 is restricted to sets of entities, respectively. It is noted that combinations of such embodiments also are contemplated, e.g., such as where sharable data 1212 of two or more data type ports 1210 may be accessed by a single set of entities, where sharable data 1212 of one data type port 1210 may be accessed by two or more sets of entities, and the like (i.e., where sharable data 1212 of N data type ports 1210 may be accessed by N sets of entities, N≧1).

The negotiation channels 1231₁-1231_N between the sharable data 1212₁-1212_N of data type ports 1210₁-1210_N and an Entities Ecosystem 1230 represents the ability of entities of Entities Ecosystem 1230 to access the sharable data 1212₁-1212_N of data type ports 1210₁-1210_N. When a negotiation channel 1231 of a data type port 1210 is inactive, the sharable data 1212 of that data type port 1210 is secure and is not accessible to entities of Entities Ecosystem 1230. When a negotiation channel 1231 of a data type port 1210 is active, the sharable data 1212 of that data type port 1210 is indicates as being shared by the user and is then accessible to entities of Entities Ecosystem 1230 for various purposes (e.g., for providing targeted advertising to the user of UPDP Store 130 based on the sharable data of that data type port 1210, for providing bids to the user of UPDP Store 130 based on the sharable data of that data type port 1210, and the like, as well as various combinations thereof).

In the exemplary system of FIG. 12, the negotiation channel 1231₁ for data type port 1210₁ is inactive (OFF) such that sharable data 1212₁ is not accessible to the set of entities T₁, the negotiation channel 1231₂ for data type port 1210₂ is active (ON) such that sharable data 1212₂ is accessible to the set of entities T₂, and the negotiation channel 1231_N for data type port 1210_N is active (ON) such that sharable data 1212_N is accessible to the set of entities T_N.

In one embodiment, UPDP system 100 is configured to support a UPDP Store bifurcation/combination capability. It is noted that bifurcation and combination of a UPDP Store(s) may be provided at any suitable granularity. For example, bifurcation may include bifurcation of a UPDP Store without partitions into a UPDP Store with partitions, bifurcation of a UPDP Store with multiple partitions into multiple UPDP Stores, and the like, as well as various combinations thereof. For example, combination may include combining of multiple UPDP Stores into a single UPDP Store, combining of multiple UPDP Stores into respective partitions of a single UPDP Store, combining of multiple partitions of one or more UPDP Stores into one or more UPDP Stores, and the like, as well as various combinations thereof.

In this embodiment, users of a UPDP Store are assigned, and ownership of the UPDP Store also is assigned. For example, a UPDP Store of a user who is the head of a family may be configured such that the user has ownership of the UPDP Store and each member of the immediate family of the user is a member of the UPDP Store. For example, a UPDP Store of a user who is an employee of a company may include (1) a first partition for work data of the user (where the company and the boss of the user share ownership of the partition, and the user and his boss are both members of the partition) and (2) a second partition for family data of the user (where the user and his or her spouse share ownership of the partition, and the user, his or her spouse, and their two kids are members of the partition). It is noted that bifurcation/combination can be used at any suitable granularity of the UPDP Store (e.g., on a UPDP Store as a whole, on a UPDP Store having two or more partitions, and the like, as well as various combinations thereof). It is further noted that bifurcation/combination may be based on any other suitable types of relationships.

In this embodiment, when ownership of a UPDP Store (or partition of a UPDP Store) changes, various functions may be performed. The change of ownership may result in bifurcation of multiple partitions of a UPDP Store into multiple UPDP Stores, combination of multiple UPDP Stores into a single UPDP Store (with or without separate partitions for the single UPDP Store), and the like, as well as various combinations thereof. The change of ownership (and, similarly, the resulting bifurcation(s)/combination(s)) may result in appropriate reevaluation of user privileges for the UPDP Store(s) (and/or partition(s) of the UPDP Store(s)) and/or appropriate revisions to access permissions for the UPDP Store(s) (and/or partition(s) of the UPDP Store(s)). The use of ownership tags for the UPDP Stores (partitions of the UPDP Stores) enables reevaluation of user permissions. The access permissions supported in this embodiment may include any suitable set of access permissions (e.g., read, write, and execute). The security levels supported in this embodiment may include any suitable number(s)/type(s) of security levels (e.g., private/public, encrypted/unencrypted, and the like, as well as various combinations thereof) and may be provided at any suitable granularity (e.g., per content item, per folder, per directory, and the like, as well as various combinations thereof).

The UPDP Store bifurcation/combination capability may be better understood by considering the exemplary embodiments of FIGS. 13A and 13B.

FIG. 13A depicts an exemplary UPDP Store bifurcation process in which a single UPDP Store of a user is subdivided into multiple UPDP Stores. In FIG. 13A, time proceeds from the top of the page toward the bottom of the page.

As depicted in FIG. 13A, a user has a User UPDP store 1310 which includes a first partition 1312₁ and a second partition 1312₂. The first partition 1312₁ includes the work-related UPDP data of the user, where the owner of the first partition 1312₁ is XYZ Corporation (the employer of the user) and the members of first partition 1312₁ are the user and the boss of the user. The second partition 1312₂ includes the personal UPDP data of the user and the spouse of the user, where the user and spouse are co-owners and co-members of the second partition 1312₂.

As depicted in FIG. 13A, at a later point in time 1321, the user undergoes a change in employment status such that the user is no longer employed by XYZ Corporation. At that time, the enterprise key of the user is disabled by XYZ Corporation, and XYZ Corporation changes the membership of the first partition 1312₁ such that the boss is the only member. This effectively converts the first partition 1312₁ and second partition 1312₂ into two separate UPDP stores including an XYZ Corporation UPDP store 1331 and a User UPDP store 1335. The XYZ Corporation UPDP store 1331 includes the work-related UPDP data of the user, where the owner of the XYZ Corporation UPDP store 1331 is XYZ Corporation and the membership of the XYZ Corporation is the boss of the user. The User UPDP store 1335 includes the personal UPDP data of the user and the spouse, where user and spouse are co-owners and co-members of User UPDP store 1335.

As depicted in FIG. 13A, at a later point in time 1331, the user and the spouse undergo a life changing event (e.g., separation or divorce). At that time, User UPDP store 1335 is divided into two separate UPDP stores including a User UPDP store 1351 and a Spouse UPDP store 1355. The User UPDP store 1335 includes the personal UPDP data of the user, where the user is the sole owner and member of the User UPDP store 1351. The Spouse UPDP store 1355 includes the personal UPDP data of the spouse, where the spouse is the sole owner and member of the Spouse UPDP store 1355.

FIG. 13B depicts an exemplary UPDP Store combination process in which multiple UPDP Stores are combined to form a single UPDP Store. FIG. 13B depicts a process opposite to that of FIG. 13A and, thus, may be better understood when considered in conjunction with FIG. 13A. In FIG. 13B, time proceeds from the bottom of the page toward the top of the page. As depicted in FIG. 13B, at time 1341, the user and spouse undergo a life changing event (e.g., dating or marriage), thereby resulting in combination of User UPDP store 1351 and Spouse UPDP store 1355 to form User UPDP store 1335. As further depicted in FIG. 13B, at time 1321, the user undergoes a change in employment status (illustrative, the user is hired by the boss to work for XYZ Corporation), thereby resulting in combination of XYZ Corporation UPDP store 1331 (e.g., provisioned for the user by XYZ Corporation upon hiring of the user) and User UPDP store 1335 to form the User UPDP store 1310, where the XYZ Corporation UPDP store 1331 and User UPDP store 1335 are managed as respective partitions of the User UPDP store 1310.

Although primarily depicted and described herein with respect to specific numbers of UPDP stores, specific numbers of partitions, specific numbers and type of events triggering partitions and combinations, specific numbers and arrangements of ownership and membership, and the like, it will be appreciated that the UPDP Store bifurcation capability may be used for other numbers of UPDP stores, other numbers of partitions, other numbers and/or types of events triggering partitions and combinations, other numbers and arrangements of ownership and membership, and the like, as well as various combinations thereof.

In one embodiment, UPDP system 100 is configured to support a real-time session monitoring capability. In this embodiment, one or more User Agents 152 may be configured to support real-time session monitoring across environments 120. The User Agent(s) 152 may be configured to monitor for the occurrence of expected and/or unexpected transactions and to act on such expected and/or unexpected transactions based on end-users needs and/or interests. The User Agent(s) 152 may be configured to consolidate various user actions (direct and/or indirect actions) occurring at various user accounts, sessions, domains, and the like, as well as various combinations thereof. The User Agent(s) may be configured to perform intelligent deduction, reasoning, and verification of user actions. The User Agent(s) 152 may be configured to flag unverifiable actions and to initiate appropriate communications regarding flagged actions (e.g., notifying the user, notifying an entity providing a service for the user, and the like, as well as various combinations thereof).

For example, a User Agent 152 may detect that the user is currently browsing the web via a home computer and that, at the same time, someone is using a credit card number of the user to make a purchase at a store. In this case, the User Agent 152 determines that the user cannot be in two geographic places at the same time and, thus, flags the two actions and initiates a text message to a smartphone of the user to inform the user about the conflicting events. The user, upon receiving the text message, the user will be informed that there is potential credit card fraud being committed with his or her credit card (if he or she is at home) or that someone is using his or her home computer without permission where the user is at the store making a purchase. In one embodiment, UPDP system 100 is configured to support a context-based data evaluation capability.

The UPDP system 100 is configured to learn the UPDP data management practices of some or all of the users of the UPDP system 100, and to associate priority levels with types of UPDP data based on analysis of the UPDP data management practices of users of the UPDP system 100. The UPDP system 100 is configured to automatically evaluate UPDP data of a user and assign priority levels to the UPDP data of the user based on the data types of the UPDP data of the user and the determined association of priority levels with types of UPDP data for the UPDP system 100 (rather than requiring the user to manually prioritize his or her UPDP data (although the context-based data evaluation capability also may allow manual user override of any automated prioritization performed for the user)). The UPDP system 100 may assign the determined priority levels to the UPDP data of a user via tagging of the UPDP data of the user using the priority levels.

It is noted that the association of priority levels with types of UPDP data may be performed at any suitable granularity (e.g., for all users of the UPDP system 100, for one or more subsets of users (e.g., user groups) of the UPDP system 100, for individual users of the UPDP system 100, and the like, as well as various combinations thereof). In one embodiment, when priority levels are associated with types of UPDP data for all users of the UPDP system 100, assigning priority levels to UPDP data of a user may include identifying data types of UPDP data of the user and assigning priority levels to the UPDP data of the user based on the association of priority levels to data types determined for the UPDP system 100 as a whole. In one embodiment, when priority levels are associated with types of UPDP data for each of a plurality of user groups of the UPDP system 100, assigning priority levels to UPDP data of a user may include identifying which of the user groups with which the user is most closely associated, identifying data types of UPDP data of the user, and assigning priority levels to the UPDP data of the user based on the association of priority levels to data types as determined for that specific user group of the UPDP system 100 (i.e., the data type to priority mapping for the closest user group of the user is used to prioritize the UPDPI data of the user).

In one embodiment, when priority levels are associated with types of UPDP data for an individual user of the UPDP system 100, assigning priority levels to UPDP data of the user may include the steps discussed above for associating priority levels with data types (i.e., once the priority levels are associated with the data types for the user, the priority levels can be assigned to the UPDP data of the user directly).

In one embodiment, priority levels are associated with types of UPDP data by computing UPDP scores for the types of data. The UPDP scores determined for types of data may be used as the priority levels for the data types or may be used to determine the priority levels for the data types. The UPDP scores allow the UPDP system 100 to minimize the costs of data storage and retrieval and, further, to maximize value to users so as to provide users with exceptional user experiences. In one embodiment, the UPDP scores are determined by indexing the UPDP data of the UPDP system 100 into metadata, evaluating the indexed structure of metadata based on various parameter buckets and associated parameters, and calculating UPDP scores based on dynamic data usage patterns within the UPDP system 100. It is noted that, as discussed above, calculation of the UPDP scores based on dynamic data usage patterns within the UPDP system 100 may be performed at any suitable granularity (e.g., for all users of the UPDP system 100, for one or more subsets of users (e.g., user groups) of the UPDP system 100, for individual users of the UPDP system 100, and the like, as well as various combinations thereof). The calculation of UPDP scores may be better understood by considering FIGS. 14A, 14B, and 14C.

FIG. 14A depicts an exemplary arrangement of parameter classes and associated priority values for a context-based data evaluation capability.

In the exemplary arrangement 1410 of FIG. 14A, parameter sets, parameter types, and/or specific parameters are assigned to parameter classes 1412, and the parameter classes 1412 include sets of priority values 1414, respectively. For each of the parameter classes 1412, the set of priority values 1414 of the parameter classes 1412 is arranged in an order.

As depicted in FIG. 14A, parameter classes 1412 include a Data Type Priority parameter class 1412₁, a Data Access Frequency parameter class 1412₂, a Financial Value parameter class 1412₃, a Security Priority parameter class 1412₄, a Reliability Priority parameter class 1412₅, a Market Index Significance parameter class 1412₆, a Data Significance to Application parameter class 1412₇, and a Data Quality Assurance Value parameter class 1412₈. The Data Type Priority parameter class 1412₁ includes a set of Data Type Priority values P₁-P_M. The Data Access Frequency parameter class 1412₂ includes a set of Data Access Frequency priority values F₁-F_N. The Financial Value parameter class 1412₃ includes a set of Financial Value priority values V₁-V_O. The Security Priority parameter class 1412₄ includes a set of Security Priority values S₁-S_P. The Reliability Priority parameter class 1412₅ includes a set of Reliability Priority values R₁-R_Q. The Market Index Significance parameter class 1412₆ includes a set of Market Index Significance priority values M₁-M_X. The Data Significance to Application parameter class 1412₇ includes a set of Data Significance to Application priority values A₁-A_Y. The Data Quality Assurance Value parameter class 1412₈ includes a set of Data Quality Assurance Value priority values Q₁-Q_z.

It is noted that the parameter classes 1412, and the associated sets of priority values 1414 of the parameter classes 1412, are merely exemplary. It will be appreciated that fewer or more (including different) parameter classes may be used when computing UPDP scores. Similarly, it will be appreciated that fewer or more (including different) priority values may be used within any of the parameter classes when computing UPDP scores.

FIG. 14B depicts an exemplary process for determining UPDP scores for a context-based data evaluation capability.

As depicted in FIG. 14B, the exemplary process 1420 for determining UPDP scores uses an Adaptive Weight Matrix 1422 and a pair of fuzzy logic based learning algorithms 1424₁ and 1424₂ (collectively, fuzzy logic based learning algorithms 1424).

The exemplary Adaptive Weight Matrix 1422 represents a set of parameter classes 1412. As depicted in FIG. 14B, the parameter classes 1412 depicted and described with respect to FIG. 14A are included in the exemplary Adaptive Weight Matrix 1422 as follows: the Data Type Priority parameter class 1412₁ (denoted as AW₁), the Data Access Frequency parameter class 1412₂ (denoted as AW₂), the Financial Value parameter class 1412₃ (denoted as AW₃), the Security Priority parameter class 1412₄ (denoted as AW₄), the Reliability Priority parameter class 1412₅ (denoted as AW₅), the Market Index Significance parameter class 1412₆ (denoted as AW₆), the Data Significance to Application parameter class 1412₇ (denoted as AW₇), and the Data Quality Assurance Value parameter class 1412₈ (denoted as AW₈).

The exemplary Adaptive Weight Matrix 1422 may include one or more components for each of the parameter classes 1412 represented (e.g., one or more of a component for the UPDP system 100 as a whole, a component for a subset of users of the UPDP system 100, and a component for an individual user of the UPDP system 100). In exemplary Adaptive Weight Matrix 1422, the following two components are used for each parameter class 1412 that is represented: a component for the UPDP system 100 as a whole and a component for an individual user of the UPDP system 100.

The fuzzy logic based learning algorithms 1424 (denoted by ∇ and ⊕, respectively) are configured to determine, for each of the parameter classes 1412 represented in the Adaptive Weight Matrix 1422, the importance of the parameter class 1412 to behavioral usage patterns of the user.

In one embodiment, the UPDP score is determined as UPDP SCORE=AW₁∇P_a⊕AW₂∇F_b⊕AW₃∇V_c⊕AW₄∇S_d⊕AW₅∇R_e⊕AW₆∇M_f⊕AW₇∇A_g⊕AW₈∇Q_h.

FIG. 14C depicts an exemplary radar chart of UPDP scores for data sets for a context-based data evaluation capability.

As depicted in FIG. 14C, exemplary radar chart 1430 includes eight axes representing eight types of UPDP data which may be maintained in a UPDP Store of a user. The eight types of UPDP data include Financial Services data, Work data, Web data, Telecom Services data, Medical Services data, Cloud data, Entertainment data, and Public Services data.

As further depicted in FIG. 14C, UPDP scores for three exemplary data sets are plotted on exemplary radar chart 1430. The plot 1432₁ on the radar chart 1430 for the first exemplary data set (not compared to the other exemplary data sets) includes relatively high UPDP scores for the Financial Services and Work data types, a relatively low UPDP score for the Entertainment data type, and UPDP scores of zero for each of the other data types represented on radar chart 1430. The plot 1432₂ on the radar chart 1430 for the second exemplary data set (not compared to the other exemplary data sets) includes relatively high UPDP scores for the Work and Medical Services data types and relatively low UPDP scores for each of the other data types represented on radar chart 1430. The plot 1432₃ on the radar chart 1430 for the third exemplary data set (not compared to the other exemplary data sets) includes relatively high UPDP scores for the Financial Services, Work, and Medical Services data types and relatively low UPDP scores for each of the other data types represented on radar chart 1430. Additionally, when comparing UPDP scores between the data sets, it is noted that: (1) for the Financial Services data type, the UPDP score for the first data set is greater than the UPDP score for the second data set which is greater than the UPDP score for the third data set, (2) for the Work data type, the UPDP scores for the first and second data sets are nearly identical and are both significantly greater than the UPDP score for the third data set, (3) for the Medical Services data type, the UPDP score for second data set is greater than the UPDP score for the third data set, and (4) for all of the data types, the UPDP scores of the second data set are greater than the UPDP scores of the third data set. It is noted that other results/observations may be obtained from the exemplary radar chart 1430.

The prioritization of UPDP data of a user may be used to provide various functions. In one embodiment, prioritization of UPDP data of a user may be used to determine a subset of the UPDP data of the user that is ported into the UPDP Store of the user where the storage space of the UPDP Store of the user is not sufficient to support storage of all of the UPDP data of the user. In one embodiment, prioritization of UPDP data of a user may be used to organize the UPDP data of the user for faster access by the user from the UPDP Store of the user. The prioritization of UPDP data of a user may be used to provide various other related functions.

FIG. 15 depicts one embodiment of a method performed by a UPDP Core Engine. Although primarily depicted and described herein as being performed serially, it will be appreciated that the steps of method 1500 may be performed contemporaneously and/or in a different order than depicted and described with respect to FIG. 15.

At step 1510, method 1500 begins.

At step 1520, personal data of a user is received from an environment based on execution of one or more data porting agents.

At step 1530, the received personal data is processed in a manner for disassociating the personal data from the environment.

At step 1540, the processed personal data is propagated toward the personal data store of the user.

At step 1550, method 1500 ends.

FIG. 16 depicts one embodiment of a method performed by the UPDP Client Module of a client device. Although primarily depicted and described herein as being performed serially, it will be appreciated that the steps of method 1600 may be performed contemporaneously and/or in a different order than depicted and described with respect to FIG. 16.

At step 1610, method 1600 begins.

At step 1620, at least one process is executed for configuring a UPDP capability to support porting of personal data of the user to a UPDP Store of the user and retrieval of personal data from the UPDP Store of the user. This may include one or more processes for configuring the UPDP Store of the user (e.g., definition of data types, organization of personal data within the UPDP Store, membership/ownership of the UPDP Store, opening of data sharing ports of the UPDP Store, and the like, as well as various combinations thereof). This may include one or more processes for configuring the UPDP Agents to control porting of personal data of the user to the UPDP Store of the user (e.g., configuration of types of personal data ported from environments, configuration of the timing of the porting of personal data from environments, and the like, as well as various combinations thereof).

At step 1630, at least one process is executed for controlling retrieval of personal data from the UPDP Store of the user and controlling the retrieved personal data at the client device of the user. The control over the retrieved personal data may include controlling organization of the retrieved personal data based on data type, providing one or more interfaces via which the user may interact with the retrieved personal data, and the like, as well as various combinations thereof.

At step 1640, method 1600 ends.

FIG. 17 depicts a high-level block diagram of a computer suitable for use in performing functions described herein.

As depicted in FIG. 17, computer 1700 includes a processor element 1702 (e.g., a central processing unit (CPU) and/or other suitable processor(s)) and a memory 1704 (e.g., random access memory (RAM), read only memory (ROM), and the like). The computer 1700 also may include a cooperating module/process 1705 and/or various input/output devices 1706 (e.g., a user input device (such as a keyboard, a keypad, a mouse, and the like), a user output device (such as a display, a speaker, and the like), an input port, an output port, a receiver, a transmitter, and storage devices (e.g., a tape drive, a floppy drive, a hard disk drive, a compact disk drive, and the like)).

It will be appreciated that the functions depicted and described herein may be implemented in software (e.g., via implementation of software on one or more processors, for executing on a general purpose computer (e.g., via execution by one or more processors) so as to implement a special purpose computer, and the like) and/or may be implemented in hardware (e.g., using a general purpose computer, one or more application specific integrated circuits (ASIC), and/or any other hardware equivalents).

In one embodiment, the cooperating process 1705 can be loaded into memory 1704 and executed by the processor 1702 to implement functions as discussed herein. Thus, cooperating process 1705 (including associated data structures) can be stored on a computer readable storage medium, e.g., RAM memory, magnetic or optical drive or diskette, and the like.

It will be appreciated that computer 1700 depicted in FIG. 17 provides a general architecture and functionality suitable for implementing functional elements described herein and/or portions of functional elements described herein. For example, the computer 1700 provides a general architecture and functionality suitable for implementing any of the elements/functions/processes depicted and described with respect to any of FIGS. 1-16.

It is contemplated that some of the steps discussed herein as software methods may be implemented within hardware, for example, as circuitry that cooperates with the processor to perform various method steps. Portions of the functions/elements described herein may be implemented as a computer program product wherein computer instructions, when processed by a computer, adapt the operation of the computer such that the methods and/or techniques described herein are invoked or otherwise provided. Instructions for invoking the inventive methods may be stored in fixed or removable media, transmitted via a data stream in a broadcast or other signal bearing medium, and/or stored within a memory within a computing device operating according to the instructions.

Although various embodiments which incorporate the teachings of the present invention have been shown and described in detail herein, those skilled in the art can readily devise many other varied embodiments that still incorporate these teachings.

Claims

1. An apparatus, comprising: at least one memory configured to store a plurality of data porting agents for a user, the data porting agents configured to control porting of personal data of the user from a plurality of environments to a personal data store of the user; andat least one processor communicatively connected to the at least one memory, the at least one processor configured to: receive personal data of the user from one of the environments based on execution of one or more of the data porting agents;decouple the received personal data of the user from the one of the environments with which the personal data is associated; andpropagate the decoupled personal data toward the personal data store for storage in the personal data store.

2. The apparatus of claim 1, wherein the at least one processor is configured to: in response to detecting a trigger condition for one of the data porting agents associated with the one of the environments, initiate porting of personal data from the one of the environments to the personal data store of the user based on the one of the data porting agents.

3. The apparatus of claim 2, wherein, to initiate porting of personal data from the one of the environments to the personal data store of the user, the at least one processor is configured to: cause the data porting agent to send a request to the one of the environments to retrieve the personal data to be ported to the personal data store; orprovide the data porting agent to the one of the environments for execution within the one of the environments to thereby initiate transfer of the personal data of the user to the personal data store of the user.

4. The apparatus of claim 1, wherein the at least one processor is configured to: receive personal data of the user from a user device of the user, wherein the received personal data is intended for one of the environments; anddetermine, based on a parameter associated with the user, whether to propagate the received personal data toward the personal data store or to propagate the personal data toward the one of the environments for which the received personal data is intended.

5. The apparatus of claim 4, wherein the at least one processor is configured to: set the parameter associated with the user in response to a message received from a user device of the user.

6. The apparatus of claim 1, wherein the at least one processor is configured to: receive personal data of the user from a user device of the user, wherein the received personal data is intended for one of the environments; andpropagate the received personal data toward the personal data store prior to propagating the personal data toward the one of the environments for which the received personal data is intended.

7. The apparatus of claim 1, wherein, to process the received personal data of the user in a manner for decoupling the received personal data of the user from the one of the environments, the at least one processor is configured to: reformat the received personal data from a first data format supported by the one of the environments to a second data format supported by the personal data store of the user.

8. The apparatus of claim 7, wherein second data format supported by the personal data store of the user is one of a plurality of data formats supported by the personal data store of the user.

9. The apparatus of claim 8, wherein the plurality of data formats supported by the personal data store of the user include at least one data format that is based on at least one of a market segment, an environment type, and application type, and a data type.

10. The apparatus of claim 1, wherein, to process the received personal data of the user in a manner for decoupling the received personal data of the user from the one or more environments, the at least one processor is configured to: for each of a plurality of respective portions of the received personal data: determine an associated data type of the respective portion of the received personal data; andassociate the determine data type with the respective portion of the received personal data.

11. The apparatus of claim 1, wherein, to process the received personal data of the user in a manner for decoupling the received personal data of the user from the one of the environments, the at least one processor is configured to: organize the received personal data into one or more data types supported by the personal data store, wherein the one or more data types are independent of the environments; andassociate, based on the one or more data types, the personal data of the one or more data types to one or more applications supported by the personal data store, the one or more applications configured to respond to requests from the user for personal data of the personal data store.

12. The apparatus of claim 1, wherein the one of the environments is a first one of the environments, wherein, to process the received personal data of the user in a manner for decoupling the received personal data of the user from the one of the environments, the at least one processor is configured to: combine the personal data received from the first one of the environments with personal data received from a second one of the environments based on a common data type of the personal data received from the first and second ones of the environments, the common data type being supported by the personal data store; andassociate the combined personal data with one or more applications based on the common data type, the one or more applications supported by the personal data store and configured to respond to requests from the user for personal data of the personal data store.

13. The apparatus of claim 1, wherein the at least one processor is configured to: retrieve personal data of the user from the personal data store of the user, wherein the personal data is associated with a first environment of the plurality of environments; andpropagate the retrieved personal data toward a second environment for storage in the second environment.

14. The apparatus of claim 1, wherein the at least one processor is configured to: receive a request of the user to share a portion of personal data of the personal data store, wherein the request comprises an indication of a data type of the portion of the personal data of the user to be shared; andinitiate opening of a data sharing port for the personal data store of the user, the data sharing port configured to provide access to the portion of the personal data of the user that is associated with the indicated data type.

15. The apparatus of claim 14, wherein the at least one processor is configured to: receive a targeted message determined for the user by the entity using the at least a portion of the personal data, wherein the targeted message comprises at least one of: an advertisement determined for the user by the entity using the at least a portion of the personal data;an offer determined for the user by the entity using the at least a portion of the personal data; anda bid determined for the user by the entity using the at least a portion of the personal data.

16. The apparatus of claim 1, wherein the personal data store is a first personal data store and the user is a first user, wherein the at least one processor is configured to: combine the first personal data store of the first user with a second personal data store of a second user, the first and second personal data stores configured as respective partitions of a common personal data store accessible to the first and second users; andwhen the personal data store includes personal data of the first user and personal data of a second user, split the personal data store into a first personal data store including the personal data of the first user and a second personal data store including the personal data of the second user.

17. The apparatus of claim 1, wherein the at least one processor is configured to: track a usage pattern of the user, wherein the usage pattern is related to at least one of usage of the data porting agents to port personal data to the personal data store of the user, usage of the personal data store of the user to store personal data of the user, and usage of the personal data store by the user to retrieve personal data of the user; andconfigure at least one data porting tool of the user based on the usage pattern.

18. The apparatus of claim 17, wherein the at least one data porting tool comprises at least one of: at least one of the data porting agents maintained for the user;at least one application programming interface (API) maintained for at least one of the environments.

19. The apparatus of claim 17, wherein the at least one data porting tool is one of the data porting agents maintained for the user, wherein configuring the one of the data porting agents comprises at least one of: configuring a time at which the data porting agent is scheduled to initiate porting of personal data of the user from one or more of the environments to the personal data store of the user; andconfiguring a type of data to be ported to the personal data store of the user using the data porting agent.

20. The apparatus of claim 1, wherein the at least one processor is configured to: configure a data porting agent based on at least one of user profile information associated with the user, at least one characteristic of the personal data store of the user, at least one characteristic of a market segment with which the data porting agent is associated, at least one characteristic of an environment associated with the data porting agent, at least one characteristic of an application associated with the data porting agent, and at least one characteristic of personal data to be ported to the personal data store of the user by the data porting agent; andcontrol organization of the personal data of the user based on at least one of a relationship of the personal data of the user to one or more market segments with which the personal data is associated, a relationship of the personal data of the user to the environments with which the personal data is associated, a relationship of the personal data of the user to one or more applications with which the personal data is associated, a plurality of data types of the personal data of the user, a plurality of hierarchical data types of the personal data of the user, and a past historical usage pattern associated with retrieval of personal data of the user from the personal data store of the user.

21. The apparatus of claim 1, wherein the at least one processor is configured to provide at least one of: a resource control function configured to control one or more characteristics of the personal data store based on at least one of a need of the user and a goal of the end user; anda customization control function configured to control customization of a client device module of a user device of the user, the client device module configured to access personal data from the personal data store of the user.

22. The apparatus of claim 21, wherein customization of the client device module comprises at least one of: propagating at least one application toward the client device module of the user device wherein the at least one application comprises at least one of a personal data agent application configured to communicate with the personal data store of the user and at least one of a plurality of personal data access applications configured to provide access to respective portions of the personal data of the user based on the data types of the personal data of the user; andpropagating at least one Application Programming Interface (API) toward the client device module of the user device.

23. The apparatus of claim 1, wherein the at least one processor is configured to: publish at least one data porting tool configured for use in porting personal data of the user to the personal data store of the user, wherein the at least one data porting tool comprises at least one of:a data porting Application Programming Interface (API) configured for use by one or more environments to support communication between the one or more environments and one or more data porting agents; anda security protocol suite configured for use by one or more environments to support secure communication between the one or more environments and one or more data porting agents.

24. The apparatus of claim 1, wherein the at least one memory and the at least one processor include respective memory and processor resources configured to provide a virtualization environment for the user, the apparatus further comprising: at least one control processor configured to customize at least one of the memory resources and the processor resources of the virtualization environment for the user based on at least one of: one or more market segments for which personal data of the user is stored in the personal data store;one or more application types of one or more applications for which personal data of the user is stored in the personal data store;user profile information associated with the user; andpersonal data store ownership information associated with the personal data store of the user.

25. A non-transitory computer-readable storage medium storing instructions which, when executed by a computer, cause the computer to perform a method comprising: receiving personal data of a user from one of a plurality of environments, the personal data of the user being received based on execution of one or more data porting agents configured to control porting of personal data of the user from the plurality of environments to a personal data store of the user;decoupling the received personal data of the user from the one of the environments with which the personal data is associated; andpropagating the decoupled personal data toward the personal data store for storage in the personal data store.

26. A method, comprising: using at least one processor for: receiving personal data of a user from one of a plurality of environments, the personal data of the user being received based on execution of one or more data porting agents configured to control porting of personal data of the user from the plurality of environments to a personal data store of the user;decoupling the received personal data of the user from the one of the environments with which the personal data is associated; andpropagating the decoupled personal data toward the personal data store for storage in the personal data store.