Dr Lesley Wyborn1, Dr Steven McEachern2, Dr Alexander Prent3, Dr Rebecca Farrington4, Dr Tim Rawling4, Dr Simon Hodson5, Dr Ari Asmi6
1Australian National University, Canberra, Australia, 2 Ausrtalian Data Archive, Canberra, Australia, 3Curtin University, Perth, Australia, 4AuScope Ltd, Melbourne, Australia, 5CODATA, Paris, France, 6Research Data Alliance (Europe), Helsinki, Finland
A new two-year project, ‘WorldFAIR: Global cooperation on FAIR data policy and practice’, funded by the European Commission through the Horizon Europe Framework Programme and coordinated by CODATA with the Research Data Alliance association as a major partner, commenced on 1 June 2022. The project comprises a global consortium of 19 partners from Africa, Australasia, Europe, and North and South America and features 11 case studies in a range of research disciplines:
Chemistry.
Nanomaterials.
Geochemistry.
Social Surveys.
Population Health.
Urban Health.
Biodiversity.
Agriculture.
Oceans.
Disaster Risk Reduction.
Cultural Heritage.
The Geochemistry case study is coordinated by AuScope, in collaboration with major data systems from Australia (AusGeochem), USA (EarthChem, AstroMat) and Europe (GEOROC-DIGIS, EPOS-MSL, NFDI4EARTH). The Australian Data Archive is leading the Social Surveys case study, which is developing guidelines and tools for the development of cross-national data collections.
The overall project methodology is for each case study to unpack a set of leading global research questions, characterise what data is required to support these, and further the implementation of FAIR data principles within their discipline, in particular for machine-to-machine interoperability and reusability of data. Specific FAIR Implementation Profiles will be developed and documented within each case study to support the overarching goal of a global Cross-Domain Interoperability Framework that will better enable transdisciplinary data-sharing across multiple disciplines, but still allow for deep scientific research and innovation within each.
transparent high-performance national-scale datasets for use in HPC environments.
A new two-year project, ‘WorldFAIR: Global cooperation on FAIR data policy and practice’, funded by the European Commission through the Horizon Europe Framework Programme and coordinated by CODATA with the Research Data Alliance association as a major partner, commenced on 1 June 2022. The project comprises a global consortium of 19 partners from Africa, Australasia, Europe, and North and South America and features 11 case studies in a range of research disciplines:
Chemistry.
Nanomaterials.
Geochemistry.
Social Surveys.
Population Health.
Urban Health.
Biodiversity.
Agriculture.
Oceans.
Disaster Risk Reduction.
Cultural Heritage.
The Geochemistry case study is coordinated by AuScope, in collaboration with major data systems from Australia (AusGeochem), USA (EarthChem, AstroMat) and Europe (GEOROC-DIGIS, EPOS-MSL, NFDI4EARTH). The Australian Data Archive is leading the Social Surveys case study, which is developing guidelines and tools for the development of cross-national data collections.
The overall project methodology is for each case study to unpack a set of leading global research questions, characterise what data is required to support these, and further the implementation of FAIR data principles within their discipline, in particular for machine-to-machine interoperability and reusability of data. Specific FAIR Implementation Profiles will be developed and documented within each case study to support the overarching goal of a global Cross-Domain Interoperability Framework that will better enable transdisciplinary data-sharing across multiple disciplines, but still allow for deep scientific research and innovation within each.
Australian participation in WorldFAIR will provide hands-on opportunities to test disciplinary and interdisciplinary integration of Australian datasets within emerging global Interoperability Frameworks.
Biography:
Lesley Wyborn is an Honorary Professor at ANU at the NCI and at the Research School of Earth Sciences. She also works part time for ARDC. She had 42 years’ experience in GA in mineral systems and geochemistry research, as well as in data management. Since leaving GA in 2014 has continued her research into many aspects of Data Science as applied to geochemistry, geophysics, data quality, versioning of datasets, as well as the development of transparent high-performance national-scale datasets for use in HPC environments.