Increasing University wide Research Data Management maturity by Yvette Wharton and Laura Armstrong

'Increasing University-wide Research Data Management maturity - a journey' presented by Yvette Wharton and Laura Armstrong (University of Auckland, NZ).
ABSTRACT
Research Data Management (RDM) is increasingly recognised as a critical knowledge gap for researchers as international and domestic funders, publishers, and ethics committees introduce more stringent requirements regarding Data Management Plans and the collection, storage and sharing of research data.
The University of Auckland | Waipapa Taumata Rau is responding to this evolving research landscape with a strategic RDM programme. Our journey started with several years of education and outreach, before a University-wide RDM stocktake and the development of an integrated Research Data Management framework consistent with international standards, including Māori Data Sovereignty, and FAIR data principles to improve data sharing.
We will outline the mahi (work) undertaken to date at Waipapa Taumata Rau and a series of recommendations and initiatives planned to lift RDM capability maturity. This will be of interest to those interested in developing services and increasing maturity in the management of research data.
SPEAKER BIOS
Yvette Wharton is a technical lead on two RDM Programme Initiatives and the Centre for eResearch’s Solutions Lead working on research data management services and researcher enablement projects.
Laura Armstrong has provided research data management services and outreach for several years, most recently as the Centre for eResearch’s Engagement Lead. Co-author of the University of Auckland’s RDM Stocktake report and RDM capability maturity model, Laura is keen to share insights on this and current work to develop the University’ RDM policy and data security classification.
MORE INFO
This webinar is part of a series that that will explore the guiding principles of research data management, research data management tools, and how users and facilities can make their research data more FAIR (Findable, Accessible, Interoperable, Reusable). It occurs every two months and is hosted by Dr David Poger. Please direct any questions to [e-mail]