(10 Aug 2022) Data communities provide social and practical incentives for scientists to voluntarily share and reuse data with colleagues. In order for data communities to emerge and grow, they need support. Information professionals, such as data librarians and research computing specialists, can advise data communities on best practices for data sharing and help them create or improve the required infrastructure, such as online repositories and metadata schemas. However, research scientists and information professionals rarely have structured opportunities to meet together, especially across institutional lines, for focused discussions about how they can collaborate to sustain data communities.
This blog post is an Ithaka S+R interview with Amanda Rinehart, a life sciences librarian at Ohio State University. This is the 2nd interview following the previous interview featuring Jordan Wrigley, a data librarian at the University of Colorado at Boulder.
Read the whole interview here.