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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Discover how Bayer empowers scientists by providing seamless access to Real-World Data (RWD) that supports their research inquiries using FAIR data products:

· Datasets are registered and discoverable in a FAIR data catalog

· We use a community standard to represent Terms of Use.

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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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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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Consider how the granularity and context of data and associated metadata to help to inform your FAIR objectives.

  • Understand the granularity and context of the data as early as possible
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Capability Maturity Model applied to data helps an organisation to determine the capability for making data assets FAIR.

  • The method defines five levels of maturity for how an organisation makes and maintains FAIR data.
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CREATED BY LEADING LIFE SCIENCE ORGANISATIONS