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

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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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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The Pistoia Alliance Bioassay FAIR Annotation project develops digital standards for bioassay metadata, provides annotations of bioassay method descriptions according to these standards, and makes them available publicly.

  • Proposed a minimal information model for assay metadata. It is now used by the FDA IVP project.
  • Annotated close to 2,800 previously published assay methods.

 

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Find out how a generic workflow can be deployed by workshops or action team to make important datasets FAIR.

  • FAIRification as a retroactive workflow is common at this time
  • FAIRification by design (data “born” FAIR) is far more desirable for the future
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Learn how change agents, such as data stewards, play an important  role to support FAIR data management and application.

  • A network of change agents coordinate data management across the organisation to support the necessary changes.
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Discover how to apply the FAIR Maturity Indicators to measure the REUSABILITY of the data and metadata.

  • Reusability 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