Aotearoa New Zealand’s research data at scale – working to a Macro View 2022
Claire Rye1, Nick Jones1, Ai-Lin Soo2, Rhys Francis3, Luc Betbeder-Matibet2, Max Wilkinson4 1New Zealand Escience Infrastructure, Auckland, Auckland, New Zealand2University of New South Wales (UNSW), Sydney Australia3Research Data Culture Conversation Australia4Australian Research Data Commons (ARDC), Melbourne, Victoria, Australia
Abstract
The ‘Macro View’ developed by the Research Data Culture Conversation (www.researchdataculture.org) provides a first ever estimate of the scale of research data retained by Australian research institutions and national research infrastructures for future access. Starting in 2017, this work has built a consistent view across institutions, scaling from a few early Institutions ‘feeling the pain of the growing mountain of data’ to a whole sector approach over time.
Seeking to translate the approach and lessons learnt from our Australian colleagues and catalysing a similar initiative in Aotearoa New Zealand we held a joint workshop at eResearch NZ earlier this year, grounding the discussion in the shared problem space of the waiting data tsunami and of not knowing how much research data anyone held. With positive feedback from participants we are preparing to develop the first Macro View estimate for Aotearoa New Zealand up to December 2022.
Alongside the key 4 questions asked of the Australian macro view participant institutions, allowing for a direct comparison with our Australian counterparts, we also seek to understand the Indigenous data sovereignty of research data held by New Zealand research institutions. This will need kōrero (conversation) with and guidance by Māori to refine how best to engage with this topic, with the aim to give a view of Māori data sovereignty and Te Tiriti fulfilment within Research Data held in New Zealand. This poster will report on the volume obtained and make an estimate of the research data volume in the sector.
Biography
Dr Claire Rye is a Product Manager at New Zealand eScience Infrastructure (NeSI) based out of the University of Auckland. She is responsible for the National Data Transfer Service and works across the Aotearoa Genomics Data Repository and Rakeiora Pathfinder projects and looking at research data management and data lifecycle more generally across NeSI. Claire holds a PhD in organic chemistry and has spent the last 11 years working in the UK in a variety of research settings. Including working on Human Cell Atlas Data Coordination Platform, based at the European Bioinformatics Institute (EMBL-EBI).