Paving the Way to Open Data

It is easy to argue that open data are 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 to start enabling more data to be FAIR data (Findable, Accessible, Interoperable and Reusable) with the...

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Bibliographic Details
Main Authors: Wu, Yan, Moylan, Elizabeth, Inman, Hope, Graf, Chris
Format: Article
Language:English
Published: The MIT Press 2019-11-01
Series:Data Intelligence
Online Access:https://www.mitpressjournals.org/doi/abs/10.1162/dint_a_00021
Description
Summary:It is easy to argue that open data are 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 to start enabling more data to be FAIR data (Findable, Accessible, Interoperable and Reusable) 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.
ISSN:2641-435X