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

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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Learn how SciBite unlock the value of bioassay data through semantic enrichment of metadata to create FAIR annotation.

  • Unified annotation from ontologies across an area of business
  • Standardized metadata for any application
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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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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 to apply the FAIR Maturity Indicators to measure the ACCESSIBILITY of the data and metadata.

  • Accessibility of data is compared with your FAIR objectives to identify and make improvements in an iterative manner
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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