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Category Archives: FAIR data

Cancer omics Bring Your Own Data workshop: a report

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UMC Utrecht and DTL organised a cancer omics Bring Your Own Data (BYOD) on 6-8 June 2017 in Utrecht. Four Cancer Genomics Center datasets were made FAIR and we demonstrated the advantages of interoperability. Read the full report written by Daphne van Beek. About BYODs At a BYOD workshop, experts assist you in making your research data FAIR. The main goal of these three-day events is to make… Continue reading →

Personal Health Train in LSH Knowledge and Innovation Agenda

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In August 2017, the Dutch Top Sector Life Sciences & Health (LSH), launched its Knowledge and Innovation Agenda 2018-2021. This strategic document describes LSH’s health and care ambitions for the next four years. The agenda mentions that ‘many Dutch LSH highlights are famous worldwide, including the upcoming Dutch ICT-breakthrough innovation of the Personal Health Train that incorporates the FAIR principles adopted by the… Continue reading →

FAIR workshop on 14 September

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On 14 September 2017, the Netherlands eScience Center organises a workshop for researchers and policy makers on FAIR data in Amsterdam. FAIR data refers to data being Findable, Accessible, Interoperable and Reusable, with the goal to make science more transparent, efficient and accessible. It is expected that the FAIR principles will increasingly be used by funding agencies and institutes in the… Continue reading →

Call for Science Demonstrators EOSCpilot Project

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The European Open Science Cloud for Research pilot project (EOSCpilot) is supporting the first phase in the development of the European Open Science Cloud (EOSC) as described in the EC Communication on European Cloud Initiatives. You can apply until 11th September 2017. Read more.

Plant phenotype BYOD/hackathon in Ghent: a report

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ELIXIR Belgium and ELIXIR-NL organised a BYOD/hackathon in Ghent (Belgium) on 30 May – 1 June 2017. The event demonstrated the potential of FAIR data in plant research. In addition, it included a hackathon to make BrAPI (the interoperability platform within the plant domain) FAIR. The event was organised to showcase the potential of FAIR data in the context of plant phenotypic data.… Continue reading →

Watch the Farm Data Train video

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The Farm Data Train project aims to connect agricultural data to make them more usable. It is a joint initiative of GODAN, CABI, Wageningen UR and DTL. Watch the video to learn more.

Groningen Techcentre for Life Sciences: towards the first local DTL

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DTL is a network of Dutch life sciences professionals that jointly develop an interconnected research infrastructure. Our focus is on FAIR data treatment, accessible high-end technologies, and expert training: Data, Technologies, and Learning. People at Groningen University and UMCG are now establishing a local version of the national DTL network. Dr Morris Swertz, Dr Salome Scholtens, and Dr Marina de… Continue reading →

Nature editorial: Don’t let Europe’s open-science dream drift

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On 20 June 2017, the scientific journal Nature published an editorial about the European Open Science Cloud. The editorial also mentions the GO FAIR initiative: “Currently, the commission’s dream is so big and shapeless that many involved can’t see a path to achieving it. German and Dutch ministers warned last month that it risked getting bogged down in detail and… Continue reading →

Germany and the Netherlands call for action on European Open Science Cloud

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During yesterday’s Competitiveness Council meeting in Brussels, State Secretaries Georg Schütte (Germany) and Sander Dekker (the Netherlands) presented their position paper on the European Open Science Cloud. They indicated that the time for action is now, and proposed to support the GO FAIR initiative. More information Press release on joint position paper Joint position paper on the European Open Science Cloud… Continue reading →

Open Data and Research Data Management at Naturalis

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This month, DTL partner Naturalis started a project on research data management. The project should formulate an integrated open data and science policy and a strategy for its implementation at Naturalis. Data should be FAIR (Findable, Accessible, Interoperable and Reusable) and in the future form the basis for a virtual digital museum that will complement the physical collections and museum exhibitions… Continue reading →