Strategies for the indexing, storage, publication, and reuse of research data are becoming increasingly important.
Metadata is additional information, which describes and documents research data, playing a key role in the interpretation of archived or published data. It should ensure that research data is findable, interpretable, and usable.
Metadata should meet the requirements of the FAIR principles. This guarantees that the research data is Findable, Accessible, Interoperable, and Reusable. Both administrative and IT metadata are relatively well standardized and necessary for processing in the research data infrastructure. They describe research data generically and need to be complemented with scientific metadata, which can be justas diverse as research data.
In order to collect research data, it is necessary that the asscoiated metadata structures are least somewhat standardized. This suggests the generation of a variety of metadata schemata that reflect the heterogeneity of scientific metadata.
More information on metadata, metadata standards and metadata schemata can be found at forschungsdaten.info.