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Article . 2015
License: CC BY
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ZENODO; International Journal on Digital Libraries
Article . 2016 . Peer-reviewed
License: Springer TDM
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key components of data publishing using current best practices to develop a reference model for data publishing

Authors: Austin, C. C.; Bloom, T.; Dallmeier-Tiessen, S.; Khodiyar, V. K.; Murphy, F.; Nurnberger, A.; Raymond, L.; +4 Authors

key components of data publishing using current best practices to develop a reference model for data publishing

Abstract

Additional Contributors: Tim Clark, Eleni Castro, Elizabeth Newbold, Samuel Moore, Brian Hole This is the revised version of: Bloom, Theodora et al.. (2015). Workflows for Research Data Publishing: Models and Key Components (Submitted Version). Zenodo. 10.5281/zenodo.20308 Abstract Purpose: Availability of workflows for data publishing could have an enormous impact on researchers, research practices and publishing paradigms, as well as on funding strategies and career and research evaluations. We present the generic components of such workflows in order to provide a reference model for these stakeholders. Methods: The RDA-WDS Data Publishing Workflows group set out to study the current data publishing workflow landscape across disciplines and institutions. A diverse set of workflows were examined to identify common components and standard practices, including basic self-publishing services, institutional data repositories, long term projects, curated data repositories, and joint data journal and repository arrangements. Results: The results of this examination have been used to derive a data publishing reference model comprised of generic components. From an assessment of the current data publishing landscape, we highlight important gaps and challenges to consider, especially when dealing with more complex workflows and their integration into wider community frameworks. Conclusions: It is clear that the data publishing landscape is varied and dynamic, and that there are important gaps and challenges. The different components of a data publishing system need to work, to the greatest extent possible, in a seamless and integrated way. We therefore advocate the implementation of existing standards for repositories and all parts of the data publishing process, and the development of new standards where necessary. Effective and trustworthy data publishing should be embedded in documented workflows. As more research communities seek to publish the data associated with their research, they can build on one or more of the components identified in this reference model. 

Country
United Kingdom
Keywords

070, Data publishing; Open data; Open Science; World Data System; Research Data Alliance, data publishing, open data, open science, Research Data Alliance, World Data System

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    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
Green
hybrid