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Category Archives: FAIR data

How to create a good research data management plan – Webinar on 23 June

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On Thursday 23 June, DTL and Elsevier will jointly organise the webinar ‘How to create a good research data management plan’. The webinar will address the following topics: What is a data management plan? When do you need a data management plan? Why is research data management important? What are the FAIR principles? Dr Rob Hooft, Technical coordinator of ELIXIR-NL, will answer these questions… Continue reading →

European Commission embraces the FAIR principles

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Yesterday, the European Commission unveiled its plans to make all data derived from EU-funded research projects findable, accessible, interoperable and reusable (FAIR). The Commission estimates that €2 billion in Horizon 2020 funding will be allocated to its so-called ‘European Cloud initiative’. And this is just the beginning. ELIXIR-NL’s Head of Node Professor Barend Mons is the Chair of the high… Continue reading →

Vision on Open Science

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DTL supports Open Science: an umbrella term for a technology and data driven systemic change in how researchers work, collaborate, share ideas, disseminate and reuse results, by adopting the core values that knowledge should be reusable, modifiable and redistributable. One fundamental requirement for Open Science is that all research data  and the associated tools and services should be Findable, Accessible, Interoperable and Reusable (i.e. FAIR).  However, securing the ‘technicalities’… Continue reading →

The FAIR Principles herald more open, transparent, and reusable scientific data

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Today, March 15 2016, the FAIR Guiding Principles for scientific data management and stewardship were formally published in the Nature Publishing Group journal Scientific Data. The problem the FAIR Principles address is the lack of widely shared, clearly articulated, and broadly applicable best practices around the publication of scientific data. While the history of scholarly publication in journals is long… Continue reading →

Help scientists improve metabolomics research: take the PhenoMeNal survey

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The EU-funded project PhenoMeNal has created a survey to gain insight in the infrastructure needs of metabolomics researchers. The survey is intended for all participants in data-intensive metabolomics research. It should take no more than 10-15 minutes to complete. The PhenoMeNal project aims to develop an open-source e-infrastructure for metabolomics research. DTL partner Leiden University is one of PhenoMeNal’s 13 international partners.… Continue reading →

Succesful first edition of Essential Skills in Data-Intensive Research course

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From 25-29 January the first edition of the “Essential Skills in Data-Intensive Research” course took place in Utrecht. This training is a collaborative effort of the Netherlands eScience Center, SURFsara, DTL, VU University Amsterdam and the Software and Data Carpentry foundation. The training is primarily targeted at early stage researchers and PhD students, but might also be very relevant for scientist… Continue reading →

The FAIRDOMHub Systems Biology Commons is Open!

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FAIRDOMHub is a centrally hosted repository for managing and sharing systems biology research. It enables independent researchers, projects and programmes to manage or publish datasets, link them together, interlink them with mathematical models, and share them in the context of the protocols that produced them and the publications that describe them. FAIRDOM therefore provides a collaboration environment for researchers and an… Continue reading →

PRANA-DATA approved in COMMIT to COMMIT2DATA ‘Swallow’-Call

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The COMMIT Public Private ICT Research Community has issued a call for Swallow projects. These projects are intended to enable technology transfer from the current, almost finished COMMIT/Programme to the new public-private COMMIT2DATA programme (ICT-Topsector programming 2016-2019). The Personal Health Train team co-authored the Privacy Respecting ANAlysis of Distributed patient health DATA (PRANA-DATA) project. This project with TNO (lead), Radboud… Continue reading →

FAIR Data Points as EUDAT services

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DTL will participate in a pilot project to evaluate FAIR Data Points as new EUDAT services helping data owners to make their datasets available in a FAIR way. A FAIR Data Point (FDP) is software that allows: data owners to expose datasets in a FAIR manner data users to discover information (meta-data) about the offered datasets  and, if license conditions allow,… Continue reading →

Distributed Radiomics project approved in STW Perspectief call

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Radiomics is an image mining approach where vast amounts of features are extracted from medical images and correlated with biology and clinical outcome features (animation on: https://www.youtube.com/watch?v=Tq980GEVP0Y). A STW Perspectief programme has been awarded to a consortium of public and private partners to develop the Radiomics approach further. The Personal Health Train team will lead the STW “Distributed Radiomics” project where a… Continue reading →