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Coalition for Publishing Data in the Earth and Space Sciences

The Coalition for Publishing Data in the Earth and Space Sciences (COPDESS) connects Earth and space science publishers and data facilities to help translate the aspirations of open, available, and useful data from policy into practice.  COPDESS has developed a statement of commitment, now signed by most leading publishers and repositories, and provides a directory of repositories for publishers and recommended best practices around data and identifiers (see links on left).


COPDESS was formed at a meeting in October 2014 and provides an organizational framework for Earth and space science publishers and data facilities to jointly implement and promote common policies and procedures for the publication and citation of data across Earth Science journals.

The launch of the partnership was announced on 15 January 2015 and included a joint Statement of Commitment signed by key publishers and repositories (pdf here).  Additional signatories are welcome. The launch was also announced in an article in Eos here.

Further information on COPDESS, scholarly articles, and related activities around data are here.

The Second COPDESS Workshop was held  for 20-21 October in Oxford, UK. Further information is  here.

For further information about COPDESS, please contact:

Kerstin Lehnert, Director of Integrated Earth Data Applications (IEDA)

Brooks Hanson, Director, Publications, American Geophysical Union,

One thought on “Coalition for Publishing Data in the Earth and Space Sciences”

  1. Dear publishers,

    great to read this, definitely a quantum leap in scinetific publishing!

    Let me come with a proposal for likewise extending today’s scientific publishing business model by a quantum leap.

    Today, mainly articles are archived. Increasingly, however, data get archived, too. However, “archiving” means you can download data. What if scientists could search data just as they can do with full text?

    Our work concentrates on flexible,s calable retrieval services for massive spatio-temporal raster data, generally: sensor, image, simulation output, and statistics data. In terms of (OGC and ISO) standards, these are summarized as “coverages”. I am the editor of the coverage data & service standards in OGC (and soon ISO), and further initiator of the extension of the SQL database standard with n-D arrays under work in ISO.

    In short, we extend the search quality known from metadata to data. We have a full implementation for such “Big Geo Data”, rasdaman (“raster data manager”), see This is mature (20y of work on it), practice-proven (satellite imagery, cryo, atmosphere, ocean, geophysics, planetary science), and scalable (130+TB databases, single queries automatically spread over 1,000+ cloud nodes).

    Let me suggest to establish a data archive where article submitters, much in the tradition of Life Sciences, submit their data material alongside their evaluations and findings. These data would be searchable by the community.

    This constitutes a new business model for publishers, with high potential benefit due to the “Big Data” involved.

    I’ll be glad to discuss this idea further with you, looking forward to entering into conversation.

    Best regards,
    Peter Baumann

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