Since 2005, the Center for Studies in Higher Education (CSHE), with generous funding from the Andrew W. Mellon Foundation, has been conducting research to understand the needs and practices of faculty for in-progress scholarly communication (i.e., forms of communication employed as research is being executed) as well as archival publication. This report brings together the responses of 160 interviewees across 45, mostly elite, research institutions in seven selected academic fields: archaeology, astrophysics, biology, economics, history, music, and political science. The overview document summarizes the main practices we explored across all seven disciplines: tenure and promotion, dissemination, sharing, collaboration, resource creation and consumption, and public engagement. We published the report online in such a way that readers can search various topics within and across case studies.∗ Our premise has always been that disciplinary conventions matter and that social realities (and individual personality) will dictate how new practices, including those under the rubric of Web 2.0 or cyberinfrastructure, are adopted by scholars. That is, the academic values embodied in disciplinary cultures, as well as the interests of individual players, have to be considered when envisioning new schemata for the communication of scholarship at its various stages.
The RIN has completed a second series of case studies to provide a detailed analysis of how humanities' researchers discover, use, create and manage their information resources.
This project focuses on the behaviours and needs of researchers working in a number of subject or disciplinary areas in the humanities.
This report by the RIN and the British Library provides a unique insight into how information is used by researchers across life sciences. Undertaken by the University of Edinburgh’s Institute for the Study of Science, Technology and Innovation, and the UK Digital Curation Centre and the University of Edinburgh?s Information Services, the report concludes that one-size-fits-all information and data sharing policies are not achieving scientifically productive and cost-efficient information use in life sciences