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Towards an institution-wide research data management framework.pdf (1.65 MB)

Towards an institution-wide research data management framework

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posted on 2021-02-26, 00:02 authored by Laura ArmstrongLaura Armstrong, Brian FlahertyBrian Flaherty, Mark GaheganMark Gahegan

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 is responding to the evolving research landscape with a strategic initiative to develop an integrated Research Data Management framework that is consistent with international standards, including FAIR data principles to improve data sharing whilst also adding in the principles of Māori Data Sovereignty. The project is sponsored by our Deputy Vice-Chancellor (Research) and includes an Advisory Panel and a Māori Data Sovereignty Kāhui.

Members of the project team will provide details of the work to:

● engage researchers, including socialising FAIR, CARE and Māori Data Sovereignty principles, through a roadshow, online survey, and interviews,

● identify challenges and opportunities presented by research data across the various different faculties of the university,

● develop and use a model to establish current and desired RDM maturity, and

● align with funders, code of conduct policies and ethics requirements.


Laura Armstrong is a Senior eResearch Engagement Specialist at the Centre for eResearch, University of Auckland working to engage researchers in eresearch, and deliver research data management services and researcher enablement projects.

Brian Flaherty is Product Manager for Data Services at NeSI, including repository development, data transfer and storage. He has a background in digital libraries.

Professor Mark Gahegan is the director of the Centre for eResearch at the University of Auckland, and a professor in Computer Science.


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