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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

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 maximize the reusability of their data, can prioritize 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

Successful FAIR data workshop for DTL partners

On 3 and 4 November 2016, DTL ran a workshop ‘FAIR Data Stewardship for Discovery and Innovation’ especially for its partners. Dr Erik Schultes (FAIR Data Scientific Projects Lead at DTL): “Technology and policy around data stewardship and open science are advancing rapidly. This event gave the DTL partners a comprehensive overview of Dutch and international trends. The participants know what to… Continue reading

FAIR Data Knowledge & Expertise

FAIR Data  Linked Data 101 Webinar on FAIR Data stewardship and BYODS Interview with Barend Mons about FAIR Data stewardship FAIRification process – VCF/OpenRefine Tutorial Data set voting FAIR data training Technology Create: FAIRifier Walkthrough Meta data editor Walkthrough Publish: FAIR Data point Example FAIR Data points API  GUI Walkthrough Find: FAIR Search Engine Walkthrough Annotate: ORKA (Open RDF Knowledge annotator)… Continue reading

The FAIR side of Mendeley Data

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 18 November 2016, a FAIR data hackathon was organised for Elsevier’s Mendeley open data repository.  Mendeley is a free reference manager and academic social network that can help researchers organise their research, collaborate… Continue reading

GO FAIR initiative

Instruction: 1. On the documents page please open the docs and provide us with your feed back using the Comments Function in Word or Google Docs. Or just let us know you approve of them as they are so we can demonstrate consensus. 2. Then click through to the survey and fill out so we have adequate information on what… Continue reading
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