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FAIR Data Maturity Model WG: 2nd face-to-face meeting

  • Creator
  • #134339

    Edit Herczog

    Collaborative session notes: ​​​​​​

    Presentation of the agenda and objectives of the meeting (10 min.)
    Presentation of the draft maturity model with an overview of indicators and maturity levels and proposed core evaluation criteria (20 min.)
    Discussion with the audience, possibly in the form of break-out groups discussing aspects of FAIRness for one of the FAIR areas, in order to improve the proposals towards further development of the model in the remaining months of 2019 (50 min.)
    Wrap-up and conclusions, schedule for further work (10 min.)

    Additional links to informative material
    Collaborative document for development of indicators and maturity levels:
    Links to the agenda, material presented and meeting report of all three meetings:
    Collaborative space on GitHub:
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    Sharing Rewards and Credit (SHARC) IG

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    FAIRsharing Registry: Connecting data policies, standards and databases RDA WG

    Group chair serving as contact person
    Edit Herczog

    Meeting objectives
    The requested meeting at the 14th RDA plenary in Helsinki will be the fifth meeting of the Working group, after two online GoTo meetings in February and June 2019, a face-to-face meeting at the 13th RDA plenary and a further online GoTo meeting currently scheduled for 12 September 2019.
    Building on the work done in the period January-September 2019, the Working Group will meet to discuss a draft maturity model based on the indicators and maturity levels that are being developed collectively by the members of the group.
    The meeting will provide an opportunity for the WG to meet in person, while allowing a wider community of interested participants at the 14th RDA plenary to be informed of the work and provide feedback on the proposed maturity model and its elements.
    This wider review and feedback are important in order for the WG to meet its goal of delivering a maturity model for FAIR data that is acknowledged and supported by a wide community of researchers and further stakeholders, such as data service owners, funders and infrastructures from different scientific and research disciplines, the industry and the public sector.

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