Abstract: Mechanisms are disclosed for enabling transformation and extension of data models in connection with a dynamic, automated data processing mechanism. A design-time profile comprising a collection of transformations of a static data model into one or more dynamic data models is received. During runtime of a software application, the one or more dynamic data models is rendered to create a data model variant. Multiple profiles for the one or more dynamic data models are created with varying levels of data model detail. A plurality of transformations of the design-time profile are created at different time stamps. One or more exported profiles associated with the plurality of transformations of the design-time profile are exported by way of one or more machine readable templates.

Abstract: Computer-readable media, methods, and systems are provided for purpose-based processing of personal data within an information retrieval framework. A data subject may request information relating to their personal data such that the data subject is identified within the information retrieval framework and an information report is generated based on the personal data of the data subject and its purpose assignment and data category assignment. The information report is provided to the data subject such that the data subject may review how their personal data is processed and organized within the information retrieval framework.

Abstract: Systems and processes for managing access to personal data based on a purpose for storing the personal data are provided. In a method for managing personal data access, personal data for a data subject corresponding to a first data category is received, and an operation is executed in a purpose agent to associate one or more purposes to the personal data, where the one or more purposes are assigned to the first data category and include at least a first purpose. The personal data may be stored in a data storage system, and the stored personal data may be designated as being associated with the one or more purposes. Access to the personal data may be controlled based on the one or more purposes.

Abstract: Computer-readable media, methods, and systems are provided for purpose-based processing of personal data within an information retrieval framework. A data subject may request information relating to their personal data such that the data subject is identified within the information retrieval framework and an information report is generated based on the personal data of the data subject and its purpose assignment and data category assignment. The information report is provided to the data subject such that the data subject may review how their personal data is processed and organized within the information retrieval framework.

Abstract: Systems and processes for managing an information retrieval database are provided. In a method for modeling a data object storing table relationships for tables belonging to a computer application, a first set of table links are retrieved from the data object and an enhanced set of table links are generated by appending additional table links to the first set based on linkages within the tables and/or code extensions/add-ins. A first set of field links are generated for the data object by matching metadata of the enhanced set of table links, and an enhanced set of field links are generated by performing additions, deletions, or replacements within the first set based on characteristics of the field links in the first set and/or code extensions/add-ins. A model for the data object is generated, representing the enhanced set of table links and the enhanced set of field links, and stored in a database.

Abstract: Systems, methods, and computer-readable media are disclosed for the centralized retrieval of personal data about a data subject across a plurality of applications. The data subject may request the retrieval of personal data from a company. To retrieve the personal data, a data model may be created for each application having personal data about the data subject. Each application may store personal data in the form of attachments. The data model may be in tabular form and store virtual representations of the attachments. Metadata for the attachments may be retrieved using the virtual representations of the attachments. The attachment metadata may then be used to retrieve the attachments. The attachments may then be provided to the data subject for download. The personal data may be provided to the data subject in both machine-readable and human-readable form to comply with data privacy regulations.