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: A method, a system, and a computer program product for retrieving data from an archived data storage. A query requiring access to data stored in at least one storage location in the plurality of storage locations is received. Based on the received query, at least one first storage location storing the data is determined. One or more hierarchical data models for accessing data stored in the first storage location is generated. The hierarchical data models include a plurality of nodes storing at least a portion in a plurality of portions of the data stored in the first storage location. Using the generated hierarchical data models, a first data responsive to the query is selected and combined with at least a second data stored in at least another storage location in the plurality of storage locations. The combined first data and the second data are retrieved.

Abstract: Systems, methods, and computer-readable media are disclosed for data unblocking in application platforms. An application platform may comprise a plurality of systems. A system may store data having a residence period. Upon expiration of the residence period, the data may be blocked from further processing. Data which is blocked may need to then be unblocked. Systems may be leading systems or dependent systems. Data unblocking may be triggered from the leading system to the dependent systems. At runtime, the dependent system may receive a trust token which may be used to verify a calling system as the leading system. If a data unblocking request is called from a dependent system, data unblocking may be prevented.

Abstract: Systems, methods, and computer-readable media are disclosed for data unblocking in application platforms. An application platform may comprise a plurality of systems. A system may store data having a residence period. Upon expiration of the residence period, the data may be blocked from further processing. Data which is blocked may need to then be unblocked. Systems may be leading systems or dependent systems. Data unblocking may be triggered from the leading system to the dependent systems. At runtime, the dependent system may receive a trust token which may be used to verify a calling system as the leading system. If a data unblocking request is called from a dependent system, data unblocking may be prevented.

Abstract: Systems, methods, and computer-readable media are disclosed for data blocking for application platforms are disclosed. An application platform may comprise a plurality of systems. A system may store data having a residence period. Upon expiration of the residence period, the data may be blocked from further processing. The plurality of systems may comprise multiple leading systems. Each leading system may have at least one dependent system. The plurality of systems may be grouped into system groups comprising a leading system and at least one dependent system. Data blocking may be triggered from the leading system to the dependent systems for each system group. An interim blocking mode for determining which systems have data that need to be blocked, and an overall blocking mode for performing the data blocking may be provided.

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.

Abstract: Electronic devices and methods of forming electronic devices with gate-all-around non-I/O devices and finlike structures for I/O devices are described. A plurality of dummy gates is etched to expose a fin comprising alternating layers of a first material and a second material. The second material layers are removed to create openings and the first material layers remaining are epitaxially grown to form a finlike structure.

Abstract: Electronic devices and methods of forming electronic devices with gate-all-around non-I/O devices and finlike structures for I/O devices are described. A plurality of dummy gates is etched to expose a fin comprising alternating layers of a first material and a second material. The second material layers are removed to create openings and the first material layers remaining are epitaxially grown to form a finlike structure.

Abstract: Systems and methods for applying k-anonymity to data from a database are provided. An initial extraction of data from a database is performed. Initial anonymized data is produced based on the extracted data and a configuration of quasi-identifiers. An actual k-anonymity level is calculated based on the initial anonymized data. The actual k-anonymity level is compared to a desired k-anonymity level. The configuration of quasi-identifiers is adjusted based on the comparison. The calculating, comparing, and adjusting are iteratively repeated until the actual k-anonymity level equals the desired k-anonymity level or the adjusted configuration of quasi-identifiers has reached a limit. Final anonymized data is produced based on the adjusted configuration of quasi-identifiers. A subsequent extraction of data from the database is performed. Subsequent anonymized data is produced based on the extracted subsequent data and the adjusted configuration of quasi-identifiers.

Abstract: Electronic devices and methods of forming electronic devices with gate-all-around non-I/O devices and finlike structures for I/O devices are described. A plurality of dummy gates is etched to expose a fin comprising alternating layers of a first material and a second material. The second material layers are removed to create openings and the first material layers remaining are epitaxially grown to form a finlike structure.

Abstract: The present disclosure generally relates to semiconductor device fabrication and integrated circuits. More particularly, the present disclosure relates to methods of forming a two-part trench in a semiconductor device that includes one or more field-effect transistors (FETs). The present method includes forming a semiconductor layer above a substrate, forming a mask layer above the semiconductor layer, forming a mask opening with sidewalls in the mask layer and exposing the semiconductor layer, depositing a profile control layer on the sidewalls of the mask opening, and forming a trench in the semiconductor layer by simultaneously etching the profile control layer and the exposed semiconductor layer, where the etching of the profile control layer forms the trench with top and bottom sections having different widths.

Abstract: Systems and methods for applying k-anonymity to data from a database are provided. An initial extraction of data from a database is performed. Initial anonymized data is produced based on the extracted data and a configuration of quasi-identifiers. An actual k-anonymity level is calculated based on the initial anonymized data. The actual k-anonymity level is compared to a desired k-anonymity level. The configuration of quasi-identifiers is adjusted based on the comparison. The calculating, comparing, and adjusting are iteratively repeated until the actual k-anonymity level equals the desired k-anonymity level or the adjusted configuration of quasi-identifiers has reached a limit. Final anonymized data is produced based on the adjusted configuration of quasi-identifiers. A subsequent extraction of data from the database is performed. Subsequent anonymized data is produced based on the extracted subsequent data and the adjusted configuration of quasi-identifiers.