Beyond Bibliodiversity: Rebuilding Research Systems for Equity, Integrity, and High-Resolution Knowledge
Abstract
Beyond Bibliodiversity: Rebuilding Research Systems for Equity, Integrity, and High-Resolution Knowledge Co-authored by Rosanna Li and ChatGPT This position paper challenges the limits of the current bibliodiversity agenda and proposes a deeper, system-level redesign of research governance. Moving beyond performative inclusion and PDF-level reforms, it introduces the need for infrastructural pluralism — multilingual, high-resolution, and publicly accountable systems that can register both research outputs and the micro-patterns of obstruction, refusal, and authorship distortion that often go unseen. The paper outlines 12 core propositions for a post-institutional research ecosystem, including: Civic infrastructures like GovSense for tracking institutional integrity Multilingual data layers to restore access and equity Dynamic authorship mapping and consent protocols Alternatives to prestige-driven pipelines and metrics It’s a call to rebuild not just the surface of scholarly diversity, but the systems underneath. This paper is part of an ongoing series exploring knowledge governance, platform logic, and post-supervisory research futures.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 January 2026