From Crowd to Collection: Mapping the Integration Gap in GLAM Crowdsourcing

Despite increasing adoption of participatory methodologies across Galleries, Libraries, Archives, and Museums (GLAM), challenges persist in validating and incorporating user-generated content (UGC) into institutional systems. This paper presents findings from an exploratory mixed-methods study examining how institutions navigate these complexities across heritage crowdsourcing and citizen science projects. Drawing on survey data from heritage practitioners, collections management systems (CMS) specialists, and citizen science coordinators, combined with semi-structured interviews with professionals from heritage and citizen science, the research examines the technical, organisational, and procedural dimensions of crowdsourced-content integration.

Building on substantial scholarship examining GLAM crowdsourcing and platform adaptation for heritage contexts, alongside citizen science quality assurance, this research extends current understanding by identifying three integration approaches—peripheral contribution, supervised collaboration, and workflow integration—that differ in operational mechanisms while all preserving institutional-validation authority. Technical integration, the study reveals, does not necessarily entail epistemic redistribution: all three models, in fact, converge on an epistemic-authority spectrum, retaining control over whose knowledge receives legitimisation, regardless of how technically advanced the approach. The findings, instead, establish inter-professional collaboration, staff development, and sustained institutional investment as prerequisites for successful integration, locating systematic capacity constraints rather than conceptual resistance as the primary barrier. Comparative analysis exposes both transferable validation approaches and domain-specific requirements, with implications for heritage practice and participatory-science theory alike.