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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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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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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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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Learn how change agents, such as data stewards, play an important  role to support FAIR data management and application.

  • A network of change agents coordinate data management across the organisation to support the necessary changes.
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Find out how the data stakeholders can prepare for the changes necessary to make data FAIR.

  • Readiness for change provides the means to engage a wider group of staff throughout an organisation.
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CREATED BY LEADING LIFE SCIENCE ORGANISATIONS