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EC consultation on Open Data - eLife contribution

EC consultation on Open Data - eLife contribution

Ian Mulvany

July 02, 2013

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  1. Public Consultation on
    Open Research Data
    Ian Mulvany
    Head of Technology

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  3. Key recommendations I
    • Publicly funded research data is a public good and should be shared
    effectively to maximise the benefits that arise from the public funding of
    research. To achieve this the default position must be that data is open. We
    support the use of the CC0 waiver and CC-BY licenses as the most
    appropriate licenses for openness.
    • We endorse the concept of “Intelligent Openness” from the Royal Society
    report. Data must be accessible, legally usable, and technically usable to
    maximise the benefits from sharing.
    • In specific and limited cases access to, or release of, research data should
    be restricted. There is existing and appropriate best practice in this space
    that can be adopted.
    • To support and maximise the re-use of publicly funded research data
    funders should promote and require best practice in data sharing and
    explicitly monitor and reward those who can demonstrate the re-use of
    data generated.

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  4. • Research data should be made available from the place or places that best
    support its discovery and re-use, preferably in subject specific repositories.
    This will differ from domain to domain and between types of data. We do not
    think that publishers websites are an appropriate location for the storing of
    this data.
    • Support for the development of infrastructure that tracks the usage and
    discussion of data is crucial, we broadly support the ORCID initiative as part
    of that infrastructure.
    • Systems that support data citation and the tracking of usage are developing,
    require support, and should be retained in the public domain. We recommend
    and support the principles of the Amsterdam Manifesto on Data Citation.
    • Funders need to act explicitly to demonstrate that they value data sharing.
    This can be achieved through a) acting as exemplars of best practice in sharing
    their own data b) supporting those that demonstrate and embody best
    practice in datasharing and the development of new tools that support data
    sharing c) requiring data sharing as a condition of funding.
    Key recommendations II

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  5. (via Christopher Gutteridge)

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