1. Data citation from the perspective of a scholarly publisher Lyubomir Penev TDWG Data Citation Workshop, New Orleans, Oct 2011 ViBRANT

3. Why cite data and who is interested in that? Data authors, data managers and their institutions: get credit for their work Data authors, data managers and their institutions: get credit for their work Science managers: measure impact of published data through citation metrics Science managers: measure impact of published data through citation metrics Publishers: drive visits and citations of data to their journals and/or data repositories; 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 End users of data: facilitate data discovery, use and re-use Society in general: benefits from public investments in data collecting and maintenance Society in general: benefits from public investments in data collecting and maintenance

4. How to cite data and track citations? By in-text citation combined with a reference in the reference list (just as with articles) 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 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) By using other permanent identifiers at dataset or single record level (= data usage) A community agreed norm of a citation format is needed! A community agreed norm of a citation format is needed!

5. The data citation policy of Dryad (www.datadryad.org) Data citation in Dryad separated from the citation of the scholarly publication 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 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) Data usage statement recommended (e.g., Data Resources section after the Material and Methods section) Two components of data citation within a paper: 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 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. 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 DataCite DOIs assigned to data files within a data package for easy location and tracking

6. Three main types of data citation Citation of data firstly published within an article they underpin Citation of data firstly published within an article they underpinOR Citation of data previously published in association with another article 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 Citation of data previously deposited in a data repository but never published before in association with an article

7. Citation of data firstly published within an article

8. Citation of data previously published in association with an article

9. Citation of data previously deposited in a data repository but never published before in association with an article

10. Conclusions The culture of data publishing and data citing is still to be developed and accepted by the community 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 metrics lacking; Thomson- Reuters approach to this still unclear! Data Citation and Data Usage are two sides of the same process 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! Hence, all interested parties (authors, publishers, data repositories, institutions, end users) should work together towards establishing a stable data publishing and citation landscape!