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DataCite – an Archive for Research Data

March 30, 2010

DataCite consortium is a group of leading academic and scientific member institutions worldwide. It provides data publishing opportunities for researchers lacking appropriate publication channels and incentives for their data sets.

It is just announced that the University of California’s California Digital Library (CDL) has become a founding member of the international DataCite consortium

Other prominent members of the 12 currently include

  • TU Delft Library, Netherland
  • INIST-CNRS, France
  • CISTI, Canada
  • Purdue U Libraries (PUL)
  • TIB, Germany
  • British Library
  • ETH Library, Switzerland

From the same press release:

DataCite offers an easy way to connect an article published in a scholarly journal with the underlying data and allows authors to take control of the management and distribution of their research. Additionally, DataCite provides the means for researchers to share and get credit for datasets; establish easier access to research data; increase acceptance of research data as legitimate, citable contributions to the scholarly record; and to support data archiving that permits results to be verified and re-purposed for future study.

A pragmatic first step towards managing, or “curating,” data is to register the existence of datasets publicly and permanently. Mirroring accepted publishing practice, DataCite’s services make it easy for data producers to obtain permanent catalog records and persistent identifiers that are visible through familiar mechanisms, such as library systems, CrossRef and search engines.

Datasets are the primary building blocks of most journal articles and publishing a journal article provides the authors a claim for an initial discovery. With the possible availability of primary datasets in an archive with linkable DOIs, it would be interesting to see how a journal article will evolve from the state it is currently in today. One question that crosses my mind is – do people care to publish journal articles anymore; will this eventually result in a change in the publishing culture. Once legitimacy is set on the data, people can wait for years to submit an article for a journal or publish just one ‘view-point’ or ‘discussion’ article (without data) instead of multiple articles or just discuss the data in blog posts. We should closely watch the trends, any thoughts in the meantime?

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