Balancing the contextual and universal reporting of workplace-based work-integrated learning (P-WIL) to capture, examine and explain sector-wide impacts, remains an unresolved challenge within Australian Higher Education. To address this, an action-research project was tasked with developing a prototype data schema that groups the typical elements used when describing P-WIL at the local level. This exploratory case study synthesizes findings from our foundational analysis of the literature with initial considerations during the design of a novel model - 'PRISE'. 'PRISE' (an acronym for unit/program-specific data relating to participation in, readiness for, innovation of, satisfaction with, and evaluation of, P-WIL experiences) represents a step-change towards a system capable of capturing granular insights with established big data sets. The study responds to emerging demands for data-driven evidence of effective WIL and contributes to salient discussions on sector-wide impact and quality.