Research data management: governance, integrity, security

The poster outlines the UNSW Data Policy Framework which comprises the institutional Data Governance Policy and a recently-developed Data Classification Standard. The Policy establishes clear lines of accountability and ensures the integrity of processes associated with accessing, retrieving, exchanging, reporting, managing and storing data. Under this framework, the classification assigned to research data in the institutional RDMP – ranging from ‘highly sensitive’ to ‘public’ – determines workflows associated with processes throughout the research lifecycle. We juxtapose the UNSW RDMP model, which starts with data classification and is heavily invested in governance, integrity and security of the data, with RDMPs derived from requirements of funding bodies. The UNSW model addresses requirements of funding bodies, but primarily it is a tool to enable risk-based management of institutional research assets by stakeholders throughout all stages of a research project.