Business models for sustainable research data repositories

Ingrid Dillo, Andrew Treloar, Wainer Lusoli, Irina Kupiainen, Mark Asch, Michael Diepenbroek, Kazuhiro Hayashi, Seo-Young Noh, Sun Kun Oh, Roar Skålin, Happy Sithole, Martie van Deventer, André Golliez, Peter Grolimund, Philippe Cudre- Mauroux, Allen Dearry, Simon Hodson, Cameron Neylon, Devika P. Madalli, Francine BermanNatalie Harrower

Research output: Book/ReportReportScientific

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Abstract

There is a large variety of repositories that are responsible for providing long term access to data that is used for research. As data volumes and the demands for more open access to this data increase, these repositories are coming under increasing financial pressures that can undermine their long-term sustainability. This report explores the income streams, costs, value propositions, and business models for 48 research data repositories. It includes a set of recommendations designed to provide a framework for developing sustainable business models and to assist policy makers and funders in supporting repositories with a balance of policy regulation and incentives.
Original languageEnglish
PublisherOECD Publishing
Number of pages80
Volume47
DOIs
Publication statusPublished - 2017

Publication series

NameOECD SCIENCE, TECHNOLOGY AND INNOVATION POLICY PAPERS

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