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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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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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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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
  • Reusable static web site generator code
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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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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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Find out how AstraZeneca deploy a policy for identifiers to construct a FAIR infrastructure across the enterprise.

  • A Uniform Resource Identifiers (URI) policy for the enterprise
  • A pilot server for persistent URIs
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