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Search Results for: FAIR

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

News

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

News

Helis Academy course: FAIR Data Stewardship – digital data scholarship for wetlab scientists

Course

Workshop: Using DMPonline to support data management and FAIR data

Event 13 March 2019 University of Amsterdam Library, Netherlands

Boost Your Visibility – Improving F of FAIR for Dutch Training and Data Resources through Bioschemas

News

Boost Your Visibility – Improving F of FAIR for Dutch Training and Data Resources through Bioschemas

Course

Boost Your Visibility – Improving F of FAIR for Dutch Training and Data Resources through Bioschemas

Event 07 February 2019 Utrecht,the Netherlands

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

News

Ministerie ziet perspectief voor FAIR en Personal Health Train om data te laten werken voor gezondheid

Page

GROW Science Day: ‘The FAIRytale of Future Science’

Event 22 November 2018 Maastricht
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FAIR Data approach

A key enabler to achieve international-grade data stewardship is for research data and information to be published in a ‘FAIR’ manner. Data should be: Findable, Accessible, Interoperable and Reusable. DTL actively promotes FAIR Data Stewardship of life science information.

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