Data Citation Developments | Blog Post
October 15, 2013 Leave a comment
Data Citation Developments, Blog Post by John Kratz, California Digital Library
This is a nice sum-up of recent discussions and activities centering on the topic of data citation.
Citation is a defining feature of scholarly publication and if we want to say that a dataset has been published, we have to be able to cite it. The purpose of traditional paper citations– to recognize the work of others and allow readers to judge the basis of the author’s assertions– align with the purpose of data citations. Check out previous posts on the topic here.
Although in the past, datasets and databases have usually been mentioned haphazardly, if at all, in the body of a paper and left out of the list of references, this no longer has to be the case.
Last month, there was quite a bit of activity on the data citation front:
- The third version of the DataCite metadata schema was released at the DataCite Summer Meeting in Washington, DC.
- The Research Data Alliance (RDA) Data Citation Working Group met at the RDA Second Plenary Meeting, also in Washington.
- The Committee on Data for Science and Technology (CODATA) released a thorough report on data citation.
- A synthesis set of data citation principles combining principles from Future of Research Communication and e-Scholarship (FORCE11), the Digital Curation Center, CODATA, and DataCite was released.