Yan Wu (Wiley, Beijing, China), Elizabeth Moylan (Wiley,
Oxford, UK; ORCID ID: 0000-0002-4651-4969), Hope Inman (Wiley, Hoboken,
USA), Chris Graf (Wiley, Oxford, UK; ORCID ID:
0000-0002-4699-4333)Address for correspondence: Yan Wu, Senior Manager, OA and
Editorial Development, John Wiley & Sons Commercial Service Co Ltd.,
Room 805-808, Floor 8, Sun Palace, No. 12A, Taiyanggong Middle Road,
Chaoyang District, Beijing, P.R. China;
ywu2@wiley.com.Draft for preprint (submitted to Data Intelligence)
Abstract
It is easy to argue that open data is critical to enabling faster and more effective research discovery. In this article, we describe the approach we have taken at Wiley to support open data and FAIR (Findable, Accessible, Interoperable and Reusable) data with the implementation of four data policies: “Encourages”, “Expects”, “Mandates” and “Mandates and Peer Reviews Data”. We describe the rationale for these policies and levels of adoption so far. In the coming months we plan to measure and monitor the implementation of these policies via the publication of data availability statements and data citations. With this information, we’ll be able to celebrate adoption of data-sharing practices by the research communities we work with and serve, and we hope to showcase researchers from those communities leading in open research.
Keywords : Open data; data sharing; data citation; open research; data policy