WHAT IS IN THE FAIR TOOLKIT?

  • Why FAIR data matters for Life Science industry
  • Use cases to exemplify the benefits of FAIR implementation by Life Science industry
  • How-to methods for FAIR tools, training and change management
  • Tips for Life Science industry and links to relevant resources

WHO IS THE FAIR TOOLKIT FOR?

  • Data Stewards
  • Laboratory Scientists
  • Business Analysts
  • Science Managers

The Hyve present an approach to making new collaborative scientific research data FAIR in a real time manner on the internet.

  • Rapid development of a semantic model expressed as subset of schema.org
  • Reusable static web site generator code
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Elucidata tackles challenges in finding and reusing data through its curation app and custom curation of relevant data.

  • Reduced turnaround time; unlocked previously inaccessible datasets

  • Transformed target identification timeline in cancer immunotherapy

 

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Hear more about Roche’s ‘learning-by-doing’ FAIRification efforts

  • Lessons learned from FAIRification of clinical data for Ophthalmology, Autism, Asthma and COPD
  • Set up integrated end-to-end process for curation workflows for prospective studies
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Learn how the responsibilities and competencies for data stewardship provides important expert advice and suport for FAIR data management.

  • A growing need for data stewardship competences in life science industry
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Find out how the data stakeholders can prepare for the changes necessary to make data FAIR.

  • Readiness for change provides the means to engage a wider group of staff throughout an organisation.
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Read how to apply the FAIR Maturity Indicators to measure the INTEROPERABILITY of the data and metadata.

  • Interoperability of data is compared with your FAIR objectives to identify and make improvements in an iterative manner
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CREATED BY LEADING LIFE SCIENCE ORGANISATIONS