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

Learn out 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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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 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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Consider how the granularity and context of data and associated metadata to help to inform your FAIR objectives.

  • Understand the granularity and context of the data as early as possible
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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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Discover how these interactive events, guided by experts in data management, can provide a learning experience to improve the FAIRness of data brought by the participants.

  • Practical “hands-on” training to evaluate and make data more FAIR
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CREATED BY LEADING LIFE SCIENCE ORGANISATIONS