10.26190/5CD8EA7E23147
Frances, M
M
Frances
0000-0002-0694-6222
Carruthers, K
K
Carruthers
Betbeder-Matibet, L
L
Betbeder-Matibet
Research data management: governance, integrity, security
UNSW
2019
Conference poster
research data management
research data management plan
RDMP
data classification
standards
UNSW Sydney
http://handle.unsw.edu.au/1959.4/unsworks_58267
UNSWorks Copyright
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.
13th Research Data Alliance Plenary; Philadelphia, USA; Start: 2019-04-02; End: 2019-04-04