Data citations are seen as a key way to trace data reuse and incentivise and reward data sharing. Although disciplinary differences in data citation have been documented via scientometric approaches, less work has been done which engages directly with researchers themselves. How and why do researchers ‘cite’ data? How do they prefer their data work to be recognized and rewarded? What role do data citations play in this process? How can data policies and infrastructures be designed to reflect the actual practices and preferences of researchers? This talk considers these questions by drawing on and consolidating findings from the two-year Meaningful Data Counts project, which included a large-scale survey (n=2,492) and semi-structured interviews with researchers across disciplines.
Presenter
Dr. Kathleen Gregory
University of Vienna
Scholarly Communications Lab, University of Ottawa
Social media
Mastodon: kathleengregory@mastodon.social
Twitter: @gregory_km