Dataspaces

from Wikipedia, the free encyclopedia

The term Dataspace or data room describes a relatively new approach to information integration , with the help of which problems of both physical and virtual integration approaches are to be solved. In order to keep the creation effort of an integration architecture low, no fixed target structure is required in advance for Dataspaces. Instead, existing matching and mapping techniques are used to make data available regardless of the degree of integration in a system. The decentralized approach of Dataspaces provides the basis for the digital sovereignty of companies, since data can remain in the sphere of influence of the data owner until it is accessed.

Dataspaces gradually grow with their task, for example, to enable new business models such as Pay-As-You-Go . If z. If, for example, more complex inquiries about related data are required, these can be defined as an integrity condition. As a result, the integration effort is postponed until the information requirement arises.

use cases

See also

literature