Data publishing from the viewpoint of a biodiversity publisher

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Lyubomir Penev, Vishwas Chavan, Gregor Hagedorn, Daniel Mietchen, Teodor Georgiev, David Roberts, Vincent Smith. 2011. Data publishing from the viewpoint of a biodiversity publisher. TDWG 2011 Annual Conference, Data Citation Workshop at the Astor Crown Plaza Hotel, New Orleans, Louisiana, USA. 16 - 21st October 2011.

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Data publishing from the viewpoint of a biodiversity publisher

  1. 1. Data citation from theperspective of a scholarly publisher Lyubomir PenevTDWG Data Citation Workshop, New Orleans, Oct 2011 ViBRANT
  2. 2. Why cite data and who is interested in that? Data authors, data managers and their institutions: get credit for their work Science managers: measure impact of published data through citation metrics Publishers: drive visits and citations of data to their journals and/or data repositories; End users of data: facilitate data discovery, use and re-use Society in general: benefits from public investments in data collecting and maintenance
  3. 3. How to cite data and track citations? By in-text citation combined with a reference in the reference list (just as with articles) By using DataCite (or other) DOIs either within the text, or in the references (or both) By using other permanent identifiers at dataset or single record level (= data usage) A community agreed norm of a citation format is needed!
  4. 4. The data citation policy of Dryad (www.datadryad.org) Data citation in Dryad separated from the citation of the scholarly publication Data authors can differ from the authors of the paper the same data support Data usage statement recommended (e.g., Data Resources section after the Material and Methods section) Two components of data citation within a paper:  An in-text citation statement containing an in-text reference pointer that directs the reader to a formal data reference in the paper’s reference list  A formal data reference within the article‘s reference list. DataCite DOIs assigned to data files within a data package for easy location and tracking
  5. 5. Three main types of data citation Citation of data firstly published within an article they underpinOR Citation of data previously published in association with another articleOR Citation of data previously deposited in a data repository but never published before in association with an article
  6. 6. Citation of data firstly published within an article
  7. 7. Citation of data previously published in association with an article
  8. 8. Citation of data previously deposited in a datarepository but never published before in association with an article
  9. 9. Conclusions The culture of data publishing and data citing is still to be developed and accepted by the community Data Citation metrics lacking; Thomson- Reuters approach to this still unclear! Data Citation and Data Usage are two sides of the same process Hence, all interested parties (authors, publishers, data repositories, institutions, end users) should work together towards establishing a stable data publishing and citation landscape!

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