“ Thomson Reuters and DataCite collaborate to expand discovery of research data –29 Aug 2014
The Intellectual Property & Science business of Thomson Reuters has announced a collaboration with DataCite, a global non-profit organization dedicated to enabling people to find, share, use, and cite data. The collaboration will promote the discovery of research data sets through the Data Citation Index, a single-point solution providing access to quality research data sets from multi-disciplinary repositories around the world.
This collaboration will connect the Data Citation Index to high quality research data from repositories worldwide that work with DataCite. This will ensure that the valuable content that has been made citable by DataCite is globally discoverable, properly attributed and reusable by other researchers. As part of the Web of Science – the premier scientific search and discovery platform and industry authority in science, social science, and arts & humanities citation indexes – inclusion within the Data Citation Index will also further DataCite’s mission of increasing acceptance of research data as citable contributions to the scholarly record.
Since creating the Data Citation Index, Thomson Reuters has worked closely with global industry leaders to expand the breadth of research discovery by capturing bibliographic records and cited references for digital research, as well as literature describing research which cites or uses the data, stewarding the accurate identification, attribution and measurement of this growing body of scholarship. The Data Citation Index allows users to gain a comprehensive view of the genesis of research projects and influence the future paths they may take, while minimizing the duplication of work and speeding the scientific research process to keep pace with the changing global research landscape. Through linked content and summary information, this data is displayed within the broader context of the scholarly research ecosystem, enabling users to gain perspective that otherwise would be lost if viewed in isolation.”
Source: Knowledgespeak Newsletter