Citation and Peer Review of Data: Moving Towards Formal Data Publication

This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will...

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Main Authors: Bryan Lawrence, Catherine Jones, Brian Matthews, Sam Pepler, Sarah Callaghan
Format: Article
Language:English
Published: University of Edinburgh 2011-07-01
Series:International Journal of Digital Curation
Online Access:https://ijdc.net/index.php/ijdc/article/view/205
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author Bryan Lawrence
Catherine Jones
Brian Matthews
Sam Pepler
Sarah Callaghan
author_facet Bryan Lawrence
Catherine Jones
Brian Matthews
Sam Pepler
Sarah Callaghan
author_sort Bryan Lawrence
collection DOAJ
description This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to receive academic credit for their work and will allow the conclusions arising from an analysis to be more readily verifiable, thus promoting transparency in the scientific process. Peer review of data will also provide a mechanism for ensuring the quality of datasets, and we provide suggestions on the types of activities one expects to see in the peer review of data. A simple taxonomy of data publication methodologies is presented and evaluated, and the paper concludes with a discussion of dataset granularity, transience and semantics, along with a recommended human-readable citation syntax.
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spelling doaj.art-012d9dc055d54e2e997f48f9f6ccc40d2024-02-06T00:07:11ZengUniversity of EdinburghInternational Journal of Digital Curation1746-82562011-07-0162Citation and Peer Review of Data: Moving Towards Formal Data PublicationBryan LawrenceCatherine JonesBrian MatthewsSam PeplerSarah CallaghanThis paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to receive academic credit for their work and will allow the conclusions arising from an analysis to be more readily verifiable, thus promoting transparency in the scientific process. Peer review of data will also provide a mechanism for ensuring the quality of datasets, and we provide suggestions on the types of activities one expects to see in the peer review of data. A simple taxonomy of data publication methodologies is presented and evaluated, and the paper concludes with a discussion of dataset granularity, transience and semantics, along with a recommended human-readable citation syntax.https://ijdc.net/index.php/ijdc/article/view/205
spellingShingle Bryan Lawrence
Catherine Jones
Brian Matthews
Sam Pepler
Sarah Callaghan
Citation and Peer Review of Data: Moving Towards Formal Data Publication
International Journal of Digital Curation
title Citation and Peer Review of Data: Moving Towards Formal Data Publication
title_full Citation and Peer Review of Data: Moving Towards Formal Data Publication
title_fullStr Citation and Peer Review of Data: Moving Towards Formal Data Publication
title_full_unstemmed Citation and Peer Review of Data: Moving Towards Formal Data Publication
title_short Citation and Peer Review of Data: Moving Towards Formal Data Publication
title_sort citation and peer review of data moving towards formal data publication
url https://ijdc.net/index.php/ijdc/article/view/205
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