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  • Issues in Open Research Data

    Samuel Moore

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    In 2010 the Panton Principles for Open Data in Science were published. These principles were founded upon the idea that 'Science is based on building on, reusing and openly criticising the published body of scientific knowledge’ (http://pantonprinciples.org) and they provide a succinct list of the fundamentals to observe when making your data open. Intended for a broad audience of academics, publishers and librarians, Issues in Research Data explores the implications of the Panton Principles through a number of perspectives on open research data in the sciences and beyond.

    The book features chapters by open data experts in a range of academic disciplines, covering practical information on licensing, ethics, and advice for data curators, alongside more theoretical issues surrounding the adoption of open data. As the book is open access, each chapter can stand alone from the main volume so that communities can host, distribute, build upon and remix the content that is relevant to them. Readers can access the online version via the QR code or DOI link at the front of the book.

    Table of Contents

    Issues in Open Research Data TOC

    • Acknowledgements

    • Editor’s Introduction (Samuel A. Moore)

    • Open Content Mining (Peter Murray-Rust, Jennifer C. Molloy and Diane Cabell)

    • The Need to Humanize Open Science (Eric C. Kansa)

    • Data Sharing in a Humanitarian Organization: The Experience of Médecins Sans Frontières (Unni Karunakara)

    • Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models (Antony J. Williams, John Wilbanks and Sean Ekins)

    • Open Data in the Earth and Climate Sciences (Sarah Callaghan)

    • Open Minded Psychology (Wouter van den Bos, Mirjam A. Jenny and Dirk U. Wulff)

    • Open Data in Health Care (Tom Pollard and Leo Anthony Celi)

    • Open Research Data in Economics (Velichka Dimitrova)

    • Open Data and Palaeontology (Ross Mounce)

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    Book Reviews (1):

      Review from 14 Oct 2015: Journal of Scientometric Research
      Open research data without borders

      Bidyarthi Dutta

      The concept of open data may be viewed as a consequence of open source movement since the 80's of the last century. The word “open” is very old, but the inherent concept of it has been rediscovered in the context of open source movement. Open mean...

      The full review cannot be displayed due to copyright restrictions. You can read the full review at Journal of Scientometric Research



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    How to cite
    Moore, S. 2014. Issues in Open Research Data. London: Ubiquity Press. DOI: http://dx.doi.org/10.5334/ban
    License

    This is an Open Access book distributed under the terms of the Creative Commons Attribution 3.0 license (unless stated otherwise), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright is retained by the author(s).

    This book has not undergone external peer review. See our Peer Review Policies for more information.

    Additional Information

    Published on 19 Dec 2014

    Language
    English


    ISBN
    ePub978-1-909188-31-0
    Mobi978-1-909188-41-9
    Print978-1-909188-30-3
    PDF978-1-909188-32-7

    DOI
    http://dx.doi.org/10.5334/ban


    MARC Record
    The MARC Record for this book will be available shortly.

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