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

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    Key_Components_of_Data_Publishing_-_Revised.pdf (488.3Kb)
    Date
    2015-12-04
    Author
    Austin, Claire C  Concept link
    Bloom, Theodora  Concept link
    Dallmeier-Tiessen, Sunje  Concept link
    Khodiyar, Varsha  Concept link
    Murphy, Fiona  Concept link
    Nurnberger, Amy  Concept link
    Raymond, Lisa  Concept link
    Stockhause, Martina  Concept link
    Tedds, Jonathan  Concept link
    Vardigan, Mary  Concept link
    Whyte, Angus  Concept link
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    Citable URI
    https://hdl.handle.net/1912/8147
    As published
    https://doi.org/10.1007/s00799-016-0178-2
    Abstract
    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.
    Description
    Author Posting. © The Author(s), 2015. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in International Journal on Digital Libraries 18 (2017): 77-92, doi:10.1007/s00799-016-0178-2.
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    Suggested Citation
    Preprint: Austin, Claire C, Bloom, Theodora, Dallmeier-Tiessen, Sunje, Khodiyar, Varsha, Murphy, Fiona, Nurnberger, Amy, Raymond, Lisa, Stockhause, Martina, Tedds, Jonathan, Vardigan, Mary, Whyte, Angus, "Key components of data publishing : using current best practices to develop a reference model for data publishing", 2015-12-04, https://doi.org/10.1007/s00799-016-0178-2, https://hdl.handle.net/1912/8147
     

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