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Category Archives: FAIR data

DTL Focus Meeting on data integration, standards and FAIR principles in proteomics

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On 29 August 2016, DTL will organise a Focus Meeting on data integration, standards and the FAIR principles in proteomics. The meeting’s goal is to discuss the current data quality assessment approaches, data format standards, multi-omics data integration, big data and bioinformatics developments where proteomics is involved. FAIR data management within the scope of proteomics will be discussed as well. Participation is free… Continue reading →

How to create a respectable research data management plan

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On 23 June 2016, DTL data programme manager Rob Hooft presented the webinar ‘Creating a good research data management plan’. The lecture was recorded and can be viewed on the Elsevier publishing campus. Increasingly, funders require researchers to submit a research data management plan (DMP) when they apply for a grant. A DMP is a document describing how data will… Continue reading →

National Icon application – GO-FAIR

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Documents National Icon application – June 2016: GO-FAIR The Netherland’s government has a support instrument called ‘National Icons‘. DTL has prepared an application for the Dutch National Icon call of June 2016 entitled: ‘GO-FAIR’ – Global Open Implementation of the Internet of FAIR Data and Services. The application document plus all supporting material are presented (and will be continuously updated) below.… Continue reading →

Successful DTL Focus meeting on FAIR developments

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On 25 May 2016, thirty people gathered in Amsterdam for a DTL Focus Meeting on FAIR developments. “It was quite a fruitful meeting. There were many people that we had not met before and there was a lot of interaction between participants. And what is best: we agreed on a concrete follow-up step”, reports the organiser Luiz Bonino. The acronym FAIR stands for ‘Findable,… Continue reading →

Topsector LSH funds FAIR-dICT project to tackle challenges in data driven science & innovation

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DTL-Data Projects was awarded funding from Topsector Life Sciences & Health to address scientific and technical hurdles on the path towards optimal use of scientific data for personalised health, disease prevention and care. Scientific data are typically scattered, hard to locate, with often unclear accessibility conditions. They are  frequently not interoperable and can thus not be utilised by researchers outside… Continue reading →

DTL works on data stewardship support

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Data stewardship, the long-term and sustainable care for research data, is a hot topic. Funders and research institutes increasingly demand adequate data stewardship plans. But researchers are struggling with the demands. DTL Data Programme Manager Rob Hooft: “Data stewardship has become an essential part of contemporary research, but it is also becoming one of the biggest challenges. The development of proper practices for data… Continue reading →

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 →