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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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The MIT Press
2019-11-01
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Series: | Data Intelligence |
Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/dint_a_00021 |
_version_ | 1811331257027526656 |
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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 |