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 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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Roche embeds data standards and quality checks to harmonize, automate and integrate very heterogeneous and complex processes.

  • Self-contained micro services deliver performance and scalability
  • Scalable and flexible for data models in clinical and non-clinical
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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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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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A Data Management Plan documents the specific attributes expected for your FAIR objectives.

  • Prepare the Data Management Plan as early as possible

 

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Find out how to apply the FAIR Maturity Indicators to measure the FINDABILITY of the data and metadata.

  • Findability 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