Following the yellow brick road: Our Research Data services journey

With increasing pressure on storage needs, legal and ethical considerations, technological advancements, and a push for open research, the last 10 years have seen the evolution and expansion of Research data services across the research data lifecycle. This evolution has seen a need for more integration and collaboration among service providers to enable effective data management planning, collection, storage, and analysis, as well as the publication of data and research artefacts.

Just like Dorothy on the yellow brick road, we are on a journey of discovery with our friends with research data and storage. Like Dorothy, we begin our journey in Kansas before being whisked away by a tornado to a new land. This presentation will discuss our adventure, companions, challenges, emerald city goals, growth, and learning.

ABOUT THE AUTHORS

Yvette Wharton works at the Centre for eResearch, Waipapa Taumata Rau, University of Auckland. She is the Technical Business Lead for the Research Data Management Programme, working on the Secure Research Environment and machine-actionable Data Management Planning initiatives. http://orcid.org/0000-0002-6689-8840

Laura Armstrong is the eResearch Engagement Lead for Waipapa Taumata Rau, University of Auckland. She collaborates to engage with the research community to raise awareness and use of modern technologies and tools to advance research. Her focus in recent years has been maturing research data management through researcher development, service delivery and policy. http://orcid.org/0000-0003-2370-3924  

Marcus Gustafsson is the eResearch Operations Manager at the University of Auckland. He hails from a physics and computation background but has moved through HPC infrastructure service delivery to enabling research IT services and researcher upskilling with teams of eResearch Specialists. In his current role he is mostly a self-professed black-hat and practicing disciplinarian trying his utmost to keep up with the ever-growing business case writing and compliance rat-race.

Mark Gahegan is the founding director of the Centre for e-Research and Professor in the School of Computer Science at the University of Auckland, New Zealand.  Mark has wide interests at the intersection of Computer Science, Machine Learning, eScience and GIS Science. This is because he can never sit still for too long and is easily distracted. He is kind of scruffy-looking. He also directs the ‘Beyond Prediction...’ national Data Science programme, focused on applying emerging Machine Learning, eScience and GenAI methods to problems in Ecology, genomics and infectious diseases.

-----
For more information about the eResearch NZ / eRangahau Aotearoa conference, visit:
https://eresearchnz.co.nz/