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FAIR workshop on 14 September

On 14 September 2017, the Netherlands eScience Center organises a workshop for researchers and policy makers on FAIR data in Amsterdam. FAIR data refers to data being Findable, Accessible, Interoperable and Reusable, with the goal to make science more transparent, efficient and accessible. It is expected that the FAIR principles will increasingly be used by funding agencies and institutes in the… Continue reading

Nature Genetics editorial: Data models to GO FAIR

On 28 June 2017, the scientific journal Nature Genetics published an editorial calling for submissions containing linked open data models that embody and extend the FAIR principles: “This journal and Scientific Data are calling for submissions containing linked open data models that embody and extend the FAIR principles: that data should be findable, accessible, interoperable and reusable by both humans and machines.… Continue reading

Personal Health Train and FAIR data presented at ICTU Cafe

On 19 April 2017, Peter-Bram ‘t Hoen (Associate Professor Bioinformatics at LUMC) gave a presentation at the ‘ICTU Cafe’ on contemporary innovations. He highlighted how big and small data can help personalise healthcare and discussed the personal health train project and the FAIR data principles. Read more in this news item about the ICTU Cafe (in Dutch).

FAIR Metrics Group

How FAIR is your data ? The FAIR Metrics Group is collaborating with a broad set of stakeholders to define metrics enabling both qualitative and quantitative assessment of the degree to which online resources comply with the 15 Principles of FAIR Data  as they were originally stated in the “The FAIR Guiding Principles for scientific data management and stewardship“. Founding… Continue reading

FAIR Data team will conduct FAIR Data hackathon at BIO-IT world

This year Bio-IT World (23-25 May 2017, Boston) will host its first hackathon. The hackathon will focus on FAIR Data, data that are Findable, Accessible, Interoperable and Reusable. One of the organizers, Belgian company Ontoforce, has reached out to the FAIR Data team to deliver the content for the three-day hands-on session. Erik Schultes (CSO FAIR Data) will lead the hackathon… Continue reading

Towards a FAIR TranSMART tool

In addition to Bring Your Own Data workshops (which focus on making research data FAIR), DTL regularly organises so-called ‘FAIR data hackathons‘. These events aim to make research tools FAIR. On 16 february 2017, a FAIR data hackathon was organised for the TranSMART tool of DTL partner the Hyve, which enables  scientists to store, analyse, and browse their data. Read more.

The FAIR Data Principles explained

These webpages provide an actionable list of the FAIR Data Principles as a simple guide when publishing data. For each principle, we give a basic definition, examples, and links to useful resources. We hope that by working through the list, anyone wishing to maximise the reusability of their data, can prioritise their efforts and make more informed choices regarding a… Continue reading
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