WorldFAIR in a Nutshell: Deliverables, events and more
The core of the WorldFAIR project are the 11 case studies, which represent a wide range of sciences, communities and challenges, with global geographical coverage. During the first year of the project, ten out of the eleven WorldFAIR Case Studies have produced reports, in addition to deliverables outlining the Project’s experience with FAIR Implementation Profiles (FIPs).
Between May 2023 and May 2024 the project will run a series of webinars discussing the Case Study reports.
Below is a summary of each Case study, their published reports from the past 12 months, and the upcoming webinars in which each WP will present their work and invite attendees to a discussion.
WorldFAIR Case Studies
Find out more about the WorldFAIR Case Studies, their published deliverables and register for their upcoming webinars, part of the WorldFAIR Deliverable Series: Presenting Project Outputs
WP3 (FAIR Chemistry) aims to align chemistry data standards with the FAIR data principles through a) development of guidelines, tools and validation services that enable scientists to share and store data in a FAIR manner; b) addressing gaps in standards that currently restrain chemistry in both academic and industrial areas, in particular taking advantage of developments in AI/ML, and c) engaging critical stakeholders in the adoption of standards and best practices to significantly increase the amount of chemical data available for all scientific disciplines.
This case study will enable the further adoption of the FAIR principles by the international nanomaterial community and encourage greater alignment with neighbouring disciplines and communities. It will test the pilot operationalisation of the FAIR principles; run conference sessions and workshops with stakeholders to apply, refine, implement and improve the metrics for FAIR nanosafety datasets; and it will develop an inventory of FAIR nanoinformatics models and their domains of applicability.
Through OneGeochemistry the geochemistry community seeks to define the minimum common variables for a set of geochemical data types and build them into FAIR Implementation Profiles, that can also be used by laboratories/ repositories/publishers for QA/QC validation of data. Together with AuScope (Australia), GEOROC (Germany), EPOS Multi-scale Laboratories (Europe), EarthChem (US) and AstroMaterials (US), the OneGeochemistry network represents data on multiple geochemical elemental and isotope systems and instruments.
This case study will undertake a comparative study of the data management, harmonization and integration practices of one of the satellite countries – Australia, through the AUSSI-ESS – and the core ESS, an ERIC social science infrastructure. It will then leverage the DDI metadata standards to understand how such multi-national collections could be made increasingly interoperable and reusable through shared procedural and technical development, and establish a set of guidelines and tools for the development of cross-national collections into the future.
This case study team will improve the interoperation of OMOP with other standards to enable machine-actionable descriptions of data structure and provenance (e.g., DDI-CDI, PROV-O, SDTL); the composition of measurements focused on the objects of research (e.g., I-ADOPT); record linkage modeling for creating and evaluating bridges that connect domains, vocabularies (e.g., SKOS); and data discovery (e.g., Schema.org, DCAT). This suite of standards forms the basis of an ‘AI-Ready’ description of data suitable for use across domain and institutional boundaries.
The SALURBAL project has systematized a process for city definition and operationalization that integrates multiple ways in which a city can be delimited. It has created a data structure that allowed the incorporation of data from different sources, making it shareable across several cores and disciplines, and has developed procedures and standards that systematically documented issues related to data access, quality, and completeness during the process of data harmonization. The case study will explore and further refine this approach to provide recommendations for urban health data.
This Case Study will consult community members on the development of a new FAIR data model that encompasses long-term biodiversity monitoring data from newly developing biodiversity monitoring projects around the world and makes it easier to integrate, share and reuse. The aim of the consultation is to identify improvements to data models and processes that could then in turn lead to improvements in the Darwin Core (DwC) standard and its implementation of FAIR principles. GBIF has an influential role in generating FAIR data throughout biodiversity sciences.
A survey of existing initiatives handling plant-pollinator interaction data will be conducted and an overview of the current status of best practices for plant-pollinator data management will be provided and discussed within the community for improvement. FAIR data assessment rubrics will be adapted for the plant-pollinator domain, to be accompanied by guidelines for their use. At least five agriculture-specific plant-pollination initiatives will serve as pilots for data and digital objects standards adoption.
RDA IGAD is leading this effort together with partners in the Biodiversity Information Standards group.
The AWI/Helmholtz partner (whose personnel chaired the technical implementation of ODIS) will examine how the ODIS Interoperability Architecture (ODIS-Arch) being piloted with regional partners can be coordinated with other case studies and central guidelines of CODATA and RDA to support digital policy alignment. The key objective will be to ensure policies support regional and local specificity, but allow the concrete implementation of global FAIRness around key (meta)data types. Through these actions, this case study aims to sustainably interface the ODIS digital ecosystem with many others.
Advances in technology have enabled a dramatic increase in the availability of satellite imagery and the power of geospatial services for DRR, yet significant challenges remain for the effective operationalization of these data for practical purposes, including societal use, policy making, rapid response etc. The FAIR principles are critical to facilitating the use of advanced technologies to extract pertinent information for DRR and climate adaptation and resilience. Developing countries face particular challenges in access and usability of data. The application of the FAIR principles for EO data, will facilitate the easier, and lower cost, reuse of data.
Through this case study, the DRI will produce a mapping report of existing policies and practices that support image sharing across diverse collecting institutions, develop a set of broadly applicable recommendations for shifting these practices into closer alignment with FAIR, and implement the recommendations at the Repository. Establishing FAIR practices in the GLAM sector would have a very significant effect on the sharing of cultural heritage data, and on the research data management practices across the arts, humanities and social sciences disciplines, making this case study itself multidisciplinary and multisectoral.
There are three components to this activity: 1) FAIR Implementation Profiles (FIPs) 2) Cross-Domain Interoperability Framework (CDIF) 3) Recommendations for Domain Sensitive FAIR Assessment The objectives include to engage with and ensure alignment of the substantive activities of the case studies; to synthesise findings and recommendations across the case studies and project as a whole; and, to extrapolate cross-domain and domain independent recommendations.