FAIR data in coordinated transition

The FAIRdICT project: FAIR data in coordinated transition: a guiding demonstration role for The Netherlands in data driven science, innovation and health.

Data driven science and innovation will dominate research and implementation in the health sector for the decades to come. This public private partnership research proposal addresses a number of key challenges in the phase transition towards true data driven science and innovation, focused on the Top Sector Health, but in close collaboration with the Dutch ICT leadership. The final aim is to optimally use data and associated applications for personalised health, disease prevention and care.

The project will (1) demonstrate the principle feasibility of solutions to the challenges associated with big data driven Personalised (P4) Health, (2) train data stewardship experts ‘on the job’ and (3) ensure though dissemination that The Netherlands will be at the forefront of these developments and can act as a ‘guiding member state’ in Europe for FAIR data in (health) action in preparation for the European Open Science Cloud. As a final aim the project will contribute solutions and expertise to fundamentally change the personal health and disease paradigm in The Netherlands, with citizens empowered to fully participate in the process.

The project’s main result has been the worldwide acceptance of the FAIR Principles and broad uptake of the technology both in the academic and the private sector. The EC, the G20 and the G7 have all released statements regarding making FAIR data mandatory for scientific projects.

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Summary
Data driven science needs new and improved methodologies and supporting infrastructure that heavily draw on both domain specific knowledge and ICT research and innovation. Trusted Data Exchange, massive capacity for storing, compute, connectivity, downloading and distributed learning are just a few 'ICT' and data science challenges, but the major central challenge is: How to discern patterns in combined and distributed complex data that lead to 'actionable knowledge'.
Technology Readiness Level (TRL)
1 - 4
Time period
24 months
Partners