NEES research now in the Thomson Reuters Data Citation Index
Research data from twelve curated and archived projects are now indexed and available through the Data Citation Index(SM), a new initiative of the publishing house Thomson Reuters that is aimed at supporting discovery, access, citation, and attribution of digital resources -- primarily research data. The metadata of the indexed datasets are searchable and accessible through the Web of Knowledge site, a platform for discovering information in the sciences, social sciences, arts, and humanities.
The NEES data repository is one of the first repositories that provides Data Citation Index with engineering research data. This is an exciting development that will help to discover NEES data outside of the NEEShub by the researchers all over the word.
Inclusion of records from the NEES data repository in the Data Citation Index will:
- Increase visibility of the data beyond the NEES data repository
- Increase number of visits to the NEES data repository, as the DCI links to the individual datasets (experiments)
- Increase impact of the researchers as their data will be more easily discoverable
- Increase potential of data in the NEES data repository for re-use
This development nicely dovetails with the recent NEEScomm initiative to assign DOI to curated datasets in order to facilitate discovery and reuse. All datasets were assigned DOI and had sufficient metadata that enabled their inclusion in the DCI. NEEScomm was able to provide not only the required core metadata, but a great number of other fields that will eventually facilitate better discovery and linking of research metadata, publication and other research products.