Data Dictionary
The data dictionary is a foundational element of RESPONSUM. It consists of Data Attributes, Data Objects and Data Subject Types. It has links throughout your ROPA, LIAs, TIAs, balancing tests, Incidents & Breaches, DPIAs, …
Data Dictionary: Explained
RESPONSUM’s data dictionary includes data attributes, data objects and data subject types.
The data dictionary describes and categorizes all data used throughout RESPONSUM. It shows which data is used where, by whom and for what purpose. Practically, when e.g. a data subject requests to perform one of their rights, the data dictionary shows where their data is stored and who has access to it – making it immensely easier to handle the request.
A Data Subject Type is a natural person that is identified or identifiable by their personal data that you process. This can be an employee, an applicant, a client, an investor, a visitor, a consultant, …
A data attribute is the most granular element of personal data. For example, first name, last name, passport number, blood type, images, sound recordings, salary, fingerprint,…
A Data Object is a combination of various data attributes. A CV for example consists of a first name, last name, date of birth, picture, career history, interests, hobbies,…
Challenges of a data dictionary
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