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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).

GO FAIR Metrics Group

How FAIR is your data ? The GO 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“.… 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

I2: (meta)data use vocabularies that follow the FAIR principl

What does this mean? The controlled vocabulary used to describe data sets needs to be documented and resolvable using globally unique and persistent identifiers. This documentation needs to be easily findable and accessible by anyone who uses the data set. Examples Using the FAIR Data Point ensures I2 Links to resources FAIR Data Point specification

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 15 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… Continue reading

Quaero Systems is ready for FAIR

On 20 December 2016, Jantine Dirksen and Jos Visser of DTL partner Quaero Systems met with Mark Thomson, Kees Burger, and Rajaram Kaliyaperumal of DTL for a FAIR hackathon. Where Bring Your Own Data workshops focus on making data FAIR, FAIR hackathons have the purpose of making tools FAIR. Jantine Dirksen explains: “Quaero Systems offers a SAAS application to support all activities… Continue reading

GO FAIR and the European Open Science Cloud

In 2016, the European Commission launched the European Open Science Cloud (EOSC). Now, a group of ‘early mover’ EU member states is preparing the GO FAIR initiative, which is a proposal for the practical implementation of the EOSC. The DTL FAIR data team is actively involved. GO FAIR proposes the completely inclusive, open and practical implementation of the recommendations of the EOSC High… Continue reading
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