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Category Archives: FAIR data

Publication How to be FAIR with your data

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We are happy to announce the recent publication of “How to be FAIR with your data: A teaching and training handbook for higher education institutions”. The handbook was created by a group of about 40 collaborators (a.o. Mijke Jetten – DTL, Health-RI – and Ronald Cornet – Amsterdam UMC, ELIXIR-NL) in a series of book sprints and a subsequent editorial… Continue reading →

Professionalising data stewardship with competences, training and education- A Dutch roadmap towards national implementation of FAIR data stewardship

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As part of the National Programme Open Science (NPOS), the Professionalising data stewardship in the Netherlands report was recently published. This report provides arguments for urgent decisions and activities to ensure adequate data steward capacity in the Netherlands, in order to realise the ambitions for Open Science.  How are Open Science and FAIR data connected? The Dutch National Programme Open… Continue reading →

Fostering FAIR Data Practices in Europe: what DTL/ELIXIR-NL contributes to FAIRsFAIR

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What is Fostering Fair Data Practices (FAIRsFAIR)? FAIRsFAIR- Fostering Fair Data Practices in Europe- supports the board of the European Open Science Cloud (EOSC) with good (data) management of its services. EOSC was launched in 2016 to support the EU’s policy of Open Science. It aims to advance research data management by uniting existing and emerging European data infrastructures. Bundling… Continue reading →

Recent developments around FAIR Data Stewardship presented at the FAIR Converge Symposium 2020

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During the International FAIR Convergence Symposium organised by CODATA and GO FAIR CODATA and GoFAIR Nov 27 – Dec 4 DTL/ELIXIR-NL presented ongoing work advancing data stewardship training, skills and competences. Current developments in the Dutch National Program Open Science (NPOS) project F on ‘Professionalising data stewardship: Competences, training & education’ were summarized by Celia van Gelder. What’s more, Mijke… Continue reading →

The COVID-19 pandemic reveals the importance of metadata standards

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“For all those who publish original data, provide a clear description of your data” says Max Roser, program director of “Our World in Data”, a global database on testing for COVID-19 from the University of Oxford. The COVID-19 crisis has painfully highlighted the importance of maximizing the reusability of data. Descriptions of data are known as metadata. It is an… Continue reading →

EOSC FAIR working group ‘How to move from FAIR principles to FAIR practice?’ needs your feedback

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The EOSC FAIR working group needs your feedback on ‘How to move from FAIR principles to FAIR practice?’ In the working group’s webinar session last week, many questions about the recently developed reference list and report were asked, as well as on the process to create these. All of the questions, even the ones that could not be addressed during… Continue reading →

Upcoming Covid-19 webinars

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ZonMw organises webinars on FAIR data management tailored to COVID-19 research. The aim is to involve data professionals and researchers to make valuable data from COVID-19 research reusable. Join the next webinars on June 18, June 22, June 25 and July 6! Continue reading →

ELIXIR’s FAIR Training working group published a paper in PLoS Computational Biology – ‘10 Simple Rules for Making training materials FAIR.’

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Imagine you’d want to produce a new bioinformatics training course or update an existing one.  However, appropriate materials are scattered across different repositories, siloed in their home institutions and/or lack the metadata required to re(use) them. This is a classical problem which can be tackled by FAIR (Findable, Accessible, Interoperable and Reusable) principles. The ELIXIR working group on FAIR training… Continue reading →

Nominate data for the Dutch Data Prize

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Are you a researcher or know someone with a dataset who’s eligible for the Dutch Data Prize? Nominations can be made until 1 Juni 2020. To be eligible the data needs to be in a ‘trustworthy digital repository’; open access available, or the documentation of the dataset explains why this is not possible and under which conditions interested parties can… Continue reading →