The details of service related datasets (data collections) should be filled with a list of all kinds of data which is collected or processed by this service. The table should be filled by the Service Manager and afterwards reconciled with the GEANT Data Protection Officer in order to address GDPR requirements. One service often incorporates several datasets.

Dataset description: brief explanation of the kind of information or entities the dataset contains.

Data source: what are source(s) of data - list of services, systems, applications, databases or similar source components, including user's input, from which data are being received. E.g. RIPE database, service ABC, organisation LDAP directory...

Data storage and access: describe where the data are stored, backup-ed etc. and who has access to the data.

Data transfer: list of other services, systems, applications, databases or similar destinations to which data are being sent. E.g. RIPE database, service ABC, GÉANT's database XYZ...

Data retention: describe data retention policy ie. for how long data are stored before being deleted. E.g. 1 year, 2 years after contract ending, forever...

Dataset content

• Data item: a specific dataset item. It may be an attribute, component or structure within a dataset that can be clearly described in terms of content. If attribute, it is usually described with the formally assigned name and corresponding explanation of meaning, purpose, expected content or allowed values. Property values characterise all or some items (records, members...) within the dataset.
• Is personal data (DPO fills in): whether this item is (a part of) personal data. Decided and entered by the GÉANT Data Protection Officer while analysing the GDPR requirements. Answer Yes of No.