Dataspace

[1] The aim of the concept is to reduce the effort required to set up a data integration system by relying on existing matching and mapping generation techniques,[clarification needed] and to improve the system in "pay-as-you-go" fashion as it is used.

As a result, significant up-front effort is required in order to set up a data integration system.

As stronger guarantees are desired, more effort can be put into making agreements among the various owners of data sources, and opening up certain interfaces (e.g., for commit protocols).

[8] Dataspaces are planned for the agriculture, energy, finance, health, media, manufacturing, mobility, and tourism industries as well as for the European Green Deal, languages, public administration, research and innovation, and skills.

[8][9][clarification needed] The first concrete steps taken were a number of research and innovation initiatives funded as part of the European Public-Private Partnership on Big Data Value (Big Data Value PPP).