ESS data and documentation available to users from the new repository accompanied by interoperable services. ESS data can be combined with other types of data from various domains by aggregation to the same regional levels. Data are relevant for various types of users including for policy makers.

Cultural and scientific data cannot be understood without knowledge about the provenance (the origin, context or history). Provenance provides a critical foundation for assessing authenticity, enabling trust, and allowing reproducibility. Provenance metadata are data describing objects, people, places, times which are causally related by events. They are event centric and must be described in a historical order to ensure that there are no references to non-existent (non-recorded) events or objects.

Generic template for a Memorandum of Understanding or similar contract, easily adaptable to new institutions. Annexes for special conditions will be included.

Recommendations for a GDPR Code of Conduct for the social sciences and humanities.

The repository will be built upon the community-driven open source Dataverse software platform. Its modular design facilitates integration with other data services such as DataCite or ROpenScience,  allows for distributed file storage, and supports the development of additional functionality and services.