Dr. Lesley Wyborn1,2, Dr. Alexander Prent2, Dr. Rebecca Farrington2, Dr. Simon Hodson3, Dr. Arofan Gregory3, Dr. Laura Molloy3, WorldFAIR Team3
1Australian National University, Australia, 2AuScope Ltd, Melbourne, Australia, 3CODATA, Paris, France
Biography:
Lesley Wyborn is an Honorary Professor at ANU at the NCI and at the Research School of Earth Sciences and works part time for ARDC. She had 42 years’ experience in Geoscience Australia in Geochemistry Research and in Data Science. 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. ORCID: https://orcid.org/0000-0001-5976-4943
Alexander Prent, as part of AuScope, was the Project Leader of the Geochemistry Case Study of the WorldFAIR project, through the OneGeochemistry initiative, which promulgates and promotes the use of best practices and standards in geochemistry (www.onegeochemistry.org). Until the end of 2022, he coordinated the AuScope Geochemistry Network (AGN) a consortium of 11 Australian academic laboratories to build the AusGeochem,data platform that enables users to process, collaborate and disseminate geochemistry data (https://ausgeochem.auscope.org.au/). Alex has a PhD in applied geology studying fluid-rock interactions, geochemistry, geochronology and microstructures. ORCID: https://orcid.org/0000-0002-1321-7319
Simon Hodson is Executive Director of CODATA since August 2013. He is an expert on data policy issues and research data management and chaired the European Commission’s Expert Group on FAIR Data which produced the report Turning FAIR into Reality, and he was vice-chair of the UNESCO Open Science Advisory Committee, tasked with drafting the UNESCO Recommendation on Open Science. Simon is also a member of the Data Documentation Initiative Scientific Board, a member of the EOSC Semantic Interoperability Task Force and the coordinator of the WorldFAIR Project.ORCID: https://orcid.org/0000-0003-3179-7270
Arofan Gregory works as a standards expert for CODATA, the data arm of the International Science Council. For more than two decades he has focused on the development and implementation of technical standards for scientific and official data and metadata, contributing to the SDMX, DDI, and GSIM specifications, among others. He is the chair of the DDI Cross Domain Integration (DDI-CDI) Working Group, and was a co-chair of the joint IUSSP-CODATA FAIR Vocabularies Working Group. He is active in the WorldFAIR project, with a focus on the development of the Cross-Domain Interoperability Framework (CDIF), a metadata "lingua franca" to support FAIR data use in multidisciplinary implementations. ORCID: https://orcid.org/0000-0003-1067-7659
Dr. Laura Molloy Senior Research Lead CODATA and is an artist and researcher, interested in interdisciplinary research, creative arts professional practice; skills frameworks; improvement of the academic infrastructure for researchers; research data policy development; the development and certification of graduate education; transparent and ethical academic publishing, and the development of approaches to digital curation and RDM advocacy. She has a PhD from the University of Oxford in Information, Communication and the Social Sciences, a MA in Scottish Literature and Language, and a MPhil in Humanities Computing, both from the University of Glasgow. ORCID: https://orcid.org/0000-0002-5214-4466
Abstract:
The Findable, Accessible, Interoperable, Reusable (FAIR) Guiding Principles of Wilkinson et al. (2016) put specific emphasis on using 'rich' metadata to enhance the ability of both humans and machines to find, access, aggregate and reuse data. Yet many datasets labelled as FAIR-compliant only meet Findable and Accessible and then only for humans. Few datasets are Interoperable and Reusable by machines mainly because there is insufficient specificity and granularity on the exact standards, formats and vocabularies implemented.
FAIR Implementation Profiles (FIPs) enable a ‘community’ to declare the implementation choices it makes for each FAIR principle. Each choice is then published as a FAIR-Enabling Resource (FER), which is a machine-actionable nano-publication of any object (vocabularies, services, metadata profiles, etc) used to comply with a FAIR principle. FIPs, combined with FERs, can accelerate machine-actionable interoperability and reusability of datasets acquired by different communities, and at scale. FIPs can be visualised as knowledge graphs to help identify commonalities across communities, and provide more specificity than existing FAIR assessment methodologies.
The CODATA and RDA-led WorldFAIR Project on Global Cooperation on FAIR Data Policy and Practice (https://worldfair-project.eu/), funded by the European Commission WIDERA Programme, reviewed different approaches to FIPs from eleven disciplinary case studies: Chemistry, Nanomaterials, Geochemistry, Social Surveys, Population Health, Urban Health, Biodiversity, Agricultural Biodiversity, Oceans, Disaster Risk Reduction and Cultural Heritage. This paper will highlight how the Geochemistry case study created FIPS at multiple ‘community’ levels (repository, data collection, dataset and reference) and will then compare and contrast with approaches of the other disciplines.