The FAIR principles were published in 2016 to provide a baseline strategy for all domains of research to make their data broadly reusable by others. They describe approaches to findability, accessibility, interoperability and reproducibility for both data and accompanying metadata and, although they are not prescriptive in what may be considered FAIR, the metrics which have been derived to assess FAIRness have largely focused on a limited number of machine actionable criteria applied uniformly across research areas. The WorldFAIR Project, through 11 case studies of different disciplines led by global research partners, aims to broaden our understanding of how FAIR may be interpreted within these disciplinary contexts.
The Digital Repository of Ireland (DRI) is leading the Cultural Heritage case study, which seeks to explore how image sharing platforms in the cultural heritage landscape already facilitate the interoperability of both image data and associated metadata. While the overall outcome of the case study will be the production of a model for implementing FAIR recommendations at the Digital Repository of Ireland, it is also an opportunity to highlight achievements in the sector which may usefully inform work in other domains. In that respect, the work is both a valuable opportunity to review and situate the DRI’s position as an image-sharing platform in the cultural heritage landscape, as well as a chance to raise questions about how FAIR may be perceived in that landscape. This poster presents the results of a mapping report documenting policies and practices in image-sharing platforms, as well as a set of recommendations for improving FAIR assessment of cultural heritage image data.
A poster presented at DARIAH 2023 – Contribution ID : 178
The poster is available on Zenodo.
