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Category Archives: FAIR data

Open Science Festival: call for proposals until 10-3-2020

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The National Open Science Festival takes place August 27, 2020 in Wageningen, NL. It is a great place for researchers to learn (more) about Open Science. Learn and share your knowledge & best practices. Do you have ideas for a proposal? Send it in until March 10, 2020. Interactive sessions can include topics such as tools for practicing open science;… Continue reading →

New updated version of the Data Stewardship Wizard available

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The Data Stewardship Wizard has new features built in to make the management of FAIR (Findable, Accessible, Interoperable, Reusable) data even easier. A question-based decision tree guides researchers, step-by-step, through all aspects of data management: IT, archival and data publication, sustainability and the entire FAIR data spectrum. It assists with finding the right expertise, technologies and, by showcasing practical experiences… Continue reading →

Professionalizing FAIR Data Stewardship in the life sciences: defining job criteria & skills

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Within the life sciences more and more data is generated and research often requires sharing and combining data. Personalized medicine is a prominent example where data from different disciplines need to be combined to determine the best treatment for an individual. Think about combining vastly different data from health records, pharmaceutical treatment history, research findings and dietary intake, to name… Continue reading →

First steps towards a standardized terminology for (future) FAIR data stewards- a work in progress

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What are the competencies, skills and knowledge data stewards need to have to make and keep data FAIR? On 20-21 May 2019, representatives of the research data community (including DTL members) came together to make the first steps towards a standardized terminology describing FAIR stewardship skills. When mature, this will have a variety of use cases, including: (i) assisting with… Continue reading →

Call for Nominations for the 2019 WDS ‘Data Stewardship Award’

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Early career researchers can now be nominated for the World Data System ‘Data Stewardship Award’ until 29 July 2019. This annual prize rewards the improvement of scientific data stewardship through (1) engagement with the community, (2) academic achievements, and (3) innovations. More information can be found here.

Successful 5th BioSB conference on Bioinformatics and Systems Biology

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The BioSB research school offers a vibrant environment for the scientific education in integrative bioinformatics and systems biology. As these are core themes of DTL‘s ‘Learning Program’, DTL is actively involved in the BioSB research community. Together with multiple academic partners DTL further co-creates BioSB’s course portfolio and together with ELIXIR-NL, DTL (managed by Femke Francissen) also organizes BioSB’s yearly… Continue reading →

DTL and Helis Academy launch a FAIR data stewardship course for ‘wet lab’ scientists

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Within the Helis Academy project, DTL organizes a FAIR data stewardship course. This course will introduce ‘wet lab’ scientists (from industry and academia) to important concepts on data handling (data stewardship). A general introduction to the data life cycle, the FAIR principles and a definition of data stewardship will be part of this 3-day course. It will take place in… Continue reading →

Dutch Ministry of Health sees perspectives for FAIR and Personal Health Train to employ data to serve health

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In close consultation with the health care and research field, Dutch Minister of Medical Care and Sports Bruno Bruins has developed a vision how data can be employed to serve health. November 15th, he has shared his vision with the Dutch Parliament.  <Klik hier voor Nederlandstalige versie> In his letter to the Parliament Bruins writes: “Employing data for health needs… Continue reading →

Health-RI conference: Data, knowledge and tools for personalized therapy

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At the upcoming Health-RI Conference (Jan 17, 2019) leading cancer researchers and data scientists show how data, knowledge and clinical decision support tools combine to bring personalized medicine to reality. Because each patient’s tumor is as genetically unique as the patient, whole genome sequencing of tumors offers the possibility of identifying the genetic and epigenetic changes that transform normal cells… Continue reading →