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Category Archives: FAIR data

Watch the ELIXIR webinar on the requirements for making data sources FAIR

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On 21 February 2018, Friederike Ehrhart of ELIXIR-NL presented an ELIXIR Webinar on the outcomes of the MoldatainRD Implementation Study, to map out the requirements for making sources of data FAIR, with a particular focus on interoperability as well as enabling federated queries. The slides and recording from the webinar are available online.

New Implementation Study will FAIRify ELIXIR Core Data Resources

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ELIXIR-NL has joined forces with four other ELIXIR nodes in a new Implementation Study that will FAIRify several ELIXIR Core Data Resources. The study will start on 1 June 2018 and run for a one-year-period. Rob Hooft (ELIXIR-NL Technical Coordinator) explains: “The Implementation Study aims to create a comprehensive implementation guide to maximise the FAIRness of selected Core Data Resources, to develop… Continue reading →

Karel Luyben appointed National Coordinator for Open Science

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Today, the steering group of the National Platform Open Science appointed former Delft University of Technology Rector Karel Luyben as the National Coordinator for Open Science.  In this newly created role, Luyben will work to achieve the Netherlands’ open science ambitions and to strengthen the country’s pioneering role in this field. This will benefit everyone. Open access to publications, for… Continue reading →

GO FAIR training (GO TRAIN) has kicked off

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On 26 January 2018, more than 20 people attended the GO TRAIN kick-off meeting in Leiden (the Netherlands). GO TRAIN is one of three GO FAIR pillars. Hugh Shanahan (Royal Holloway, University of London): “We used the meeting to discuss how to instigate a concerted action of global FAIR data training providers.” Barend Mons (GO FAIR International Support and Coordination… Continue reading →

31 January: Webinar are we FAIR yet?

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On 31 January 2018, the Research Data Alliance (RDA) will organise a webinar ‘Are we FAIR yet?’ The webinar will be presented by Michel Dumontier of Maastricht University. You can register on the RDA website. The webinar will be held on 31 January 2018 at 14:00 UTC and it is co-organised by the RDA Data Fitness and RDA/Force11 FAIRsharing (previously BioSharing). More… Continue reading →

FAIR workshop in Ireland: a report

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In December 2017, a team from DTL and FAIRdICT delivered a FAIR Data workshop at the Irish Health Research Board (HRB) in Dublin. Co-hosted by the HRB and the SPHERE Programme, the event taught 70 researchers at different career stages what the FAIR Data Principles mean and how implementing them can ease the day-to-day work load in data-intensive research projects. Watch the recordings of the… Continue reading →

Metrics for the evaluation of FAIRness

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A team of FAIR principles authors and drivers have published a core set of semi-quantitative metrics for the evaluation of FAIRness. You can read the preprint about these FAIR Metrics on bioRxiv. “One of the big questions around the FAIR principles has been how to measure what we call their ‘FAIRness’. This paper takes an important first step in that… Continue reading →

What does FAIR mean for agricultural science?

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Andrew Lyons, a researcher at the Division of Agriculture and Natural Resources (ANR) of the University of California, wrote a blogpost about the FAIR principles, the GO FAIR initiative and what it means for agricultural research. “ANR academics are impacted by the data tsunami in at least two ways (neither for good). Like all practicing scientists, we have to deal with the… Continue reading →

NIH awards to test ways to store, access, share, and compute on biomedical data in the cloud

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Twelve awards totaling $9 million in Fiscal Year 2017 will launch a National Institutes of Health Data Commons Pilot Phase. A data commons is a shared virtual space where scientists can work with the digital objects of biomedical research, such as data and analytical tools. The NIH Data Commons will be implemented in a four-year pilot phase to explore the… Continue reading →