All topics related to issues, challenges, convergence and consensus-building around FAIR are in scope. Four primary themes are highlighted below. Examples of particular interest are listed under each of the themes, but proposals on other topics relating to the four themes are welcome:
1. CRISIS REDUCTION AND RESPONSE (learning from COVID-19 outbreak)
Virus Outbreak Data Network
COVID-19 initiatives on data exchange
Balancing public good and individual freedom in disaster data
Disaster Risk Reduction
Infectious Disease (including (meta)data collection, description, analysis, modelling, etc.)
Applying lessons from COVID-19 to other hazards
2. FAIR specifications
Semantic interoperability
FAIR vocabularies, FAIR metadata
Certification of FAIR services (repositories, process)
Legal challenges to tackle
Systems analysis
Core tools for cross-domain interoperability
FAIR data objects applications
3. FAIR society
FAIR for SDGs (including contributing to SDG data, scientific analysis of SDGs)
Traditional knowledge, indigenous data and CARE
Use cases of FAIR in business and industry
Ethical dimensions of data, FAIR and open
Smart, resilient and healthy cities
Citizen science and the SDGs
Policy monitoring: transportation, health, planning, and measuring economic impacts
4. Data stewardship: training and career opportunities
Role of data stewardship centres in research institutions
Data stewardship competences, skills and training
Data stewardship career profiles and development
Distributed learning on Federated Data train
