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

Discover how Bayer builds a harmonised FAIR data asset based on Health Care Professional partners.

  • A knowledge graph from federated data integration
  • Enables reuse by different consumers
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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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How to unlock the value of RNA sequencing (RNA-Seq) and microarray data from a public repository Gene Expression Omnibus (GEO)

  • Using machine-learning assisted curation, guided by the FAIR principles
  • Leverage ontologies and controlled vocabularies for annotation
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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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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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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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CREATED BY LEADING LIFE SCIENCE ORGANISATIONS