resources on Data Citation Principles

I’m at the Data Citation Principles workshop in Harvard yesterday and today (#HUDC11).  Great conversation, meaty discussion questions, and of course fantastic to meet people f2f I’d only known through papers or Friendfeed.

The workshop organizers, Merce Crosas and Micah Altman, are consolidating data-citation-related links from participants.

Since I have some related work scattered around, I figured I’d consolidate them here:

• Data Citation Elephants
• Tracking Dataset Citations Using Common Citation Tracking Tools Doesn’t Work
• Links From The Data Collection Article: Inline Or In The Bibliography?
• Data citation in the wild and here as a result of 2010 DataONE summer internships on data citation
• Friendfeed discussion about citation aggregators
• Linking database submissions to primary citations with PubMed Central
• A method to track dataset reuse in biomedicine:  filtered GEO accession numbers in PubMed Central
• Envisioning a data reuse registry
• (related project is emerging from #beyondimpact… will link shortly when live)

A few people at the workshop were also interested in my research into data sharing and reuse.  Here are a few pointers:

• Early Results: Public Data Archiving Increases Scientific Contribution By More Than A Third
• Tracking data reuse project
• Who shares? Who doesn’t? Bibliometric factors associated with open archiving of biomedical datasets (short version, long thesis version, to be published in PLoS ONE shortly)
• upcoming letter to the editor about ROI of data archiving, to be published in Nature shortly
• Sharing Detailed Research Data Is Associated with Increased Citation Rate

Looking forward to a great day 2!