Social & Health

Urban Health

The case study on Urban Health has produced guidelines and training materials that promote best practices in data provenance management within the urban health sector. These guidelines not only serve to enhance data integrity and reliability but also pave the way for improved decision-making processes that positively impact urban populations. Moreover, the Work Package has extended its efforts beyond the confines of urban health by developing guidelines and best practices that can be applied across various disciplines involved in urban planning and management. These guidelines integrate both the FAIR and CARE (Collective benefit, Authority to control, Responsibility, and Ethics) Principles for Indigenous Data Governance. By doing so, they address common challenges related to data availability, acquisition, and utilisation within urban settings. Furthermore, they tackle issues such as data integration, quality assurance, and standardisation processes, thus ensuring that data from diverse sources can be effectively compared and utilised, both within and between cities, countries, and regions.

The training component associated with these guidelines is vital for disseminating the expertise acquired during their development. By sharing knowledge and fostering a community of practice, the training initiatives facilitate collaboration and knowledge exchange within and across disciplines. Ultimately, this collaborative approach not only enhances the effectiveness of data management practices but also contributes to broader societal benefits by improving urban planning, resource allocation, and public health outcome

Population Health

The impact of this case study’s work will be to develop the means to make the large amount of population health data, and their associated metadata more FAIR. The data producers will have more control over access to their data through the federated data structure and can use the recommendations to structure their metadata so that it can be found and actioned over the internet. The recommendations start from the premise that study leads do not have data documentation processes, and go through the FAIR processes in simple steps which enable the metadata to become discoverable. 

Common analyses using study packages built on the harmonised data will transform the use of population health data, making it available for policy makers to use. The end result will be evidence-based decision making for pandemic control and public health implementation.

Cultural Heritage

At the end of 2022, the Digital Repository of Ireland (DRI) invited participation in a Cultural Heritage Image Sharing Working Group, aimed at bringing together cultural heritage professionals with expertise in diverse areas of policy, professional practice, and technology to provide a global perspective on recommendations for FAIR alignment in the sector. The network of connections established through the Working Group created opportunities for DRI staff to participate in a number of related events happening in the Collections as Data space, including  a data exploration sprint at the Museum für Kunst und Gewerbe Hamburg and the workshop “Collections as Data: State of the Field and Future Directions” held at Internet Archive Canada. DRI contributed to the position statements which were used to refine the Vancouver Statement on Collections as Data. Building on the momentum and interest in Collections as Data internationally, DRI partnered with representatives from the Mellon-funded project ‘Collections as Data: Part to Whole’ to propose a charter for a new RDA Collections as Data Interest Group. At recent meetings, presentations by DRI staff on the new Cultural Heritage Citation Model developed for Deliverable 13.3 ‘Final Report on Cultural Heritage FAIR sharing’ as well as an overview of DRI’s FAIR Implementation Profile were featured.Across DRI’s established networks, the importance of the recommendations to facilitate cultural heritage-specific FAIR practices is being shared. The biennial Digital Preservation in the Arts, Social Sciences and Humanities (DPASSH) Conference has taken the theme “Collections as Data / Data as Collections” and will provide another opportunity to share insights learned from WorldFAIR. Several members of the WorldFAIR Cultural Heritage Image Sharing Working Group will participate in the programme, and there will be one paper devoted to the cross-project discussion that emerged from the Dagstuhl Workshop on process documentation (also captured in a podcast recorded during the IDW2023)