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...

Full description

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
_version_ 1811331257027526656
author Wu, Yan
Moylan, Elizabeth
Inman, Hope
Graf, Chris
author_facet Wu, Yan
Moylan, Elizabeth
Inman, Hope
Graf, Chris
author_sort Wu, Yan
collection DOAJ
description 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.
first_indexed 2024-04-13T16:17:55Z
format Article
id doaj.art-2754bc984b6c49219338b966c124a770
institution Directory Open Access Journal
issn 2641-435X
language English
last_indexed 2024-04-13T16:17:55Z
publishDate 2019-11-01
publisher The MIT Press
record_format Article
series Data Intelligence
spelling doaj.art-2754bc984b6c49219338b966c124a7702022-12-22T02:40:01ZengThe MIT PressData Intelligence2641-435X2019-11-011436838010.1162/dint_a_00021Paving the Way to Open DataWu, YanMoylan, ElizabethInman, HopeGraf, ChrisIt 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.https://www.mitpressjournals.org/doi/abs/10.1162/dint_a_00021
spellingShingle Wu, Yan
Moylan, Elizabeth
Inman, Hope
Graf, Chris
Paving the Way to Open Data
Data Intelligence
title Paving the Way to Open Data
title_full Paving the Way to Open Data
title_fullStr Paving the Way to Open Data
title_full_unstemmed Paving the Way to Open Data
title_short Paving the Way to Open Data
title_sort paving the way to open data
url https://www.mitpressjournals.org/doi/abs/10.1162/dint_a_00021
work_keys_str_mv AT wuyan pavingthewaytoopendata
AT moylanelizabeth pavingthewaytoopendata
AT inmanhope pavingthewaytoopendata
AT grafchris pavingthewaytoopendata