Requirements elicitation for public-private trust framework development

Abstract

Public-private data sharing increasingly depends on frameworks that align participating organisations around shared definitions, responsibilities, rules, and agreements. Yet, organisations are struggling to design these trust frameworks for public-private data sharing. Based on 11 challenges derived from an LLM-assisted systematic literature review on Diffusion of Innovations Theory and Coordination Theory, we develop role-based requirements for a document-grounded conversational assistant intended to support the development and maintenance of public-private trust frameworks. We then prioritised and refined the challenges and requirements through an expert survey. The proposed assistant concept functions as a shared “knowledge navigator” over collaboration documents: it answers questions with traceable sources, surfaces knowledge gaps in the underlying corpus, guides onboarding and participation decisions, and supports agreement drafting and review by generating text while flagging inconsistent terminology as documents evolve. The outcome is threefold: a prioritised set of document-mediated challenges in public-private trust framework development; an expert-refined, role-based set of functional and non-functional requirements for a document-grounded conversational assistant; and a synthesis that places trust framework development along two dimensions, internal versus external and substance versus process.