Digital heritage, Library studies, Collections as data, Digital collections, GLAM collections, Computational access, Bibliography. Library science. Information resources

Introduction. This research investigates the adoption of collections as data in GLAM institutions, aiming to highlight best practices for computational use and machine-readable sharing of digital collections. Method. Drawing on the existing literature regarding collections as data, this research identifies key aspects that should be considered and assesses selected datasets based on these aspects. Analysis. The selected datasets were analysed based on key aspects to identify best practices and gaps. Results. The findings revealed areas needing improvement, including impact, ethical rights, citation and limitation information. Conclusion. The work has identified key aspects and provided examples of best practices. Future work includes the inclusion of additional aspects to analyse the publication of collections as data such as sustainability and discoverability.