Data Communities A New Model for Supporting STEM Data Sharing
peter.suber's bookmarks 2019-05-14
"In this issue brief, we build on our ongoing research into scholarly practices to propose a new mechanism for conceptualizing and supporting STEM research data sharing. Successful data sharing happens within data communities, formal or informal groups of scholars who share a certain type of data with each other, regardless of disciplinary boundaries. Drawing on Ithaka S+R findings and the scholarly literature, we identify what constitutes a data community and outline its most important features by studying three success stories, investigating the circumstances under which intensive data sharing is already happening. We contend that stakeholders who wish to promote data sharing – librarians, information technologists, scholarly communications professionals, and research funders, to name a few – should work to identify and support emergent data communities. These are groups of scholars for whom a relatively straightforward technological intervention, usually the establishment of a data repository, could kickstart the growth of a more active data sharing culture. We conclude by responding to some potential counterarguments to this call for bottom-up intervention and offering recommendations for ways forward...."