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April 8, 2013 /PRNewswire/ -- The
Intellectual Property & Science business of Thomson Reuters, the world's leading source of intelligent information for businesses and professionals, today announced that numerous institutions around the world are using its
Data Citation Index solution to aid in the discovery of global data sets that connect researchers to data repositories.
University of Queensland, Commonwealth Scientific and Industrial Research Organization (CSIRO),
Queensland University of Technology, and University of
Europe's University of
Leeds and University of
Tufts University are among many institutions finding value in the Data Citation Index. It ensures work they do is discoverable, properly attributed and that their researchers are able to leverage work done by others, as well as helps progress research projects they're funding.
"The Data Citation Index is a valuable research tool for our institution and we look forward to promoting it to our customers," said
Bob Gerrity, university librarian, the
University of Queensland. "In the absence of a tool like the Data Citation Index, it is often quite difficult to find and appropriately credit prior research. The Data Citation Index from Thomson Reuters creates a single source for the discovery of foundational research in selected data repositories around the world, and assures it is attributed in a way that appropriately acknowledges intellectual debt."
Thomson Reuters launched its Data Citation Index in
October 2012. It worked in close collaboration with industry leaders from the California Digital Library's UC Curation Center and the Inter-University Consortium for Political and Social Research (ICPSR) to capture bibliographic records and cited references for digital research, in order to promote the accurate identification, attribution and measurement of this growing body of scholarship.
"The Data Citation Index is a valuable tool for our researchers and we're pleased that Thomson Reuters has taken the initiative to bring such an offer to market," said
Miriam Allman of
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.