Dr. Jacky K. L. Cho1, Dr. Cameron K. Fong2, Ms. Penny L. Cross3, Mr. Andreas Mertin4, Dr. Piyachat Ratana5
1University of New South Wales, Australia, 2University of Sydney, Australia, 3University of Wollongong, Australia, 4University of Technology Sydney, Australia, 5Macquarie University, Australia
Biography:
Jacky Cho is a program manager with Research Technology Services at UNSW, focusing on infrastructure and governance for research data storage and management. He is also a lead for the ResTech community program, which upskill and engages research communities to make the best use of research infrastructure both at UNSW and nationally. Prior to this, he was a researcher specialising in the physical chemistry of surface coatings and used research data and research computing infrastructure in synchrotrons and universities in Australia and Europe.
Penny Cross is the Research Data Management Project Manager in the Research Services Office at the University of Wollongong and is leading the implementation of the UOW RDM Strategy. She also provides training and support to researchers and HDRs across all aspects of the data management life cycle. Penny is the Chair of the UOW RDM Working Group. Penny has extensive experience in data management for multiple large research projects at UOW.
Cameron Fong is the Research Data Consulting Lead at Sydney University, with a diverse research background. In this role he engages with researchers, faculty, professional staff and students to promote, improve, develop, and implement RDM best practices. This varies from developing resources, providing support and training for the research community, working with individual researchers to develop tailored solutions, through to collaborating with peers at different institutions.
Andreas Mertin has provided RDM support to the UTS research community in numerous roles, from promoting RDM best practice as a data librarian, to advising on tools and infrastructure as an eResearch Information Analyst. He is now the Research Data Management Specialist in the Data Analytics and Insights Unit at UTS, where he drives data governance and information management activities in research practice and working to extend the Data Risk Framework across the UTS Research domain.
Piy Ratana is a Research Data Steward in Research Services at Macquarie University. With a strong scientific background and extensive experience in research and support roles within eResearch and academic libraries across various higher education institutions, she offers guidance and assistance on research data management, data management planning, publishing, and best practices throughout the data life cycle at Macquarie University.
Abstract:
In this session, we will focus on a crucial but often overlooked part of the research data management lifecycle: research data offboarding practices.
Representatives from UNSW, USYD, MQ, UTS, and UoW will provide an update on the current state of affairs at these institutions, and outline efforts made thus far to collaboratively develop minimum offboarding requirements and resources.
This will be followed by an open, interactive discussion with BoF participants on: challenges faced, core contents of an RDM offboarding checklist, processes across the data lifecycle that enable and streamline effective offboarding, and additional offboarding support materials.
Some primary objectives include understanding the significance of proper offboarding for research data, exploring institutional perspectives and existing processes, delving into the various implementation challenges and potential solutions, and ways to enact change. We hope to collaboratively create and share useful guidelines, checklists and other support material to establish a common baseline for research data offboarding procedures at Australian research institutions.
This discussion is open to and would benefit from input from everyone involved in research data management, from researchers and data stewards, to other research support staff, research IT providers, librarians, and administrators. Join us to discuss and explore processes, best practices, real-world scenarios, and learn how different institutions handle data offboarding.