Lead: Constance Crompton

Modelling linked data by defining relationships among types of things as well as establishing categories themselves involves representational power with deep implications for EDID as well as basics like findability. This cluster’s research responds to community need for both interoperability to support linking and local, nuanced, respectful, context- sensitive data, and draws participants from academic, government, and GLAM sectors. The Modelling Research Cluster is undertaking the following pilot projects:

LOD in society: Philippe Michon, Trang Dang (CHIN) and Susan Brown, and LINCS ontologist Erin Canning taking an equity-informed perspective to compare how DOPHEDA and LINCS have modelled gender, sexuality, nationality, Indigeneity, and other cultural identities in records describing people, with the aim of arriving at a national standard to align GLAM institutional data in Canada with LINCS scholarly data.

CollectiveAccess to LOD: LINCS will create LOD for publication to advance repatriation, decolonization, and social empowerment by mapping fields from CollectiveAccess, a widely used open database system, to the CIDOC-CRM ontology. Emmanuel Château-Dutier; and Michael Eberle-Sinatra (UdeMontréal) will extend the reach of the Collection ethnographique du département d’anthropologie de l’Université de Montréal drawing on vocabularies including CHIN’s Nomenclature, and Jon Bath (USask) and j moore (USask Galleries) will attend to the complexities associated with various BIPOC and LGBTQ+ artists-in- residence and recent acquisitions at the USask Galleries (Capacitor; Ohpinamake; Manacihitowin). Work will involve outreach and consultation with users about whether the mapping enables the desired uses of the data, and will be informed by the Indigenous Advisory Circles and appropriate Indigenous Protocols.

Optimizing LINCS for images: Jon Bath, Emmanuel Château-Dutier, and j moore will explore tools that use the International Image Interoperability Framework (IIIF) standard for image metadata representation and exchange with the above-mentioned ethnographic, Indigenous, and BIPOC visual collections. A prototype workflow using LINCS conversion tools to create IIIF records and interlink external image data will help smaller institutions to mobilize their data and diversify GLAM online.