Overview Section
Last updated
Last updated
This section provides you an overall information of all the records of processing activities available on the selected individual. Data Elements: These refer to a diverse range of data types, including genetic information, biometric identifiers, health-related data, as well as personal data that reveals aspects such as racial or ethnic background, political affiliations, religious or philosophical beliefs, or membership in trade unions.
Data Categories: This classification system organizes personal data and special categories of data pertaining to an individual into distinct groupings for easier management and analysis.
Data Subject Types: This classification encompasses two primary forms of data - structured data, which conforms to a predefined format or schema, and unstructured data, which lacks a predefined data model and can include text documents, images, videos, and other media formats.
Collaborators: In GDPR terminology, collaborators are commonly referred to as "data processors." A data processor is any person, company, or other entity that processes personal data on behalf of the data controller. This processing could involve any operation or set of operations performed on personal data, such as collection, recording, organization, storage, adaptation, alteration, retrieval, consultation, use, disclosure by transmission, dissemination, or any other form of making available, alignment, combination, restriction, erasure, or destruction.
Top 5 Elements by Instances Found: This refers to the top five most frequently occurring data elements or attributes within an organization's data sets. These elements are identified based on the number of instances or occurrences found across various data sources or datasets.
Top 5 Highly Sensitive Elements by Instances Found: This refers to the top five most frequently occurring highly sensitive data elements within an organization's data sets. These elements are identified based on the number of instances or occurrences found across various data sources or datasets, specifically focusing on sensitive or confidential information. Data Sources: A data source refers to any system, application, device, or location from which data is collected or retrieved. Data sources provide raw data that can be processed, analyzed, and utilized for various purposes, such as reporting, analytics, decision-making, or integration with other systems Reports: The final ROPA reports.
