Citing data is important as it provides credit to the producers, better transparency in reproducibility of work and applies to FAIR (Findable, Accessible, Interoperable, Reproducible). As most researchers know how to cite scientific writings, citing data is not as obvious or well practiced. Therefore most data repositories are providing citation formats for their datasets so users will know how data should be cited. Repositories are also registering PIDs, typically DOIs for the datasets as tracking the PID is much easier than the actual citation text in an article. But why do the citations and registered PIDs contain the information they contain? This session will look at the citation formats registered information that goes into a PID at USGS, NOAA, NASA and other repositories. We will then compare the various citations and see why differences, if there are any, exist. Is it due to available metadata, community driven, funder driven, etc.?
Speakers:
Reyna Jenkyns - "MINTED: Making Identifiers Necessary for Tracking Evolving Data"
Alex Bell - "A generalist perspective on data citation"
Madison Langseth - "USGS Data and Software Citations"
Heather Brown - "Citations at NCEI"
Jessica Hausman - "Citations at PO.DAAC and NASA" and the new ESIP Guidelines
Discussion
Notes will be captured in this google doc http://bit.ly/2Y3UL8J
Session recording is here.