Design and Deployment of a Research Data Management Platform for Large-Scale Interdisciplinary Projects

Abstract

Large interdisciplinary research projects generate heterogeneous datasets across multiple institutions and scientific domains. Differences in data formats, documentation practices, and storage policies often hinder long-term reuse. This paper reports on the design of a research data management platform deployed in a national-level environmental science program involving over 60 research teams. The platform integrates metadata registration, version tracking, and access auditing functions. User feedback indicates that standardized documentation templates and automated provenance recording significantly improve data discoverability. However, resistance to workflow changes remains a major obstacle to adoption.