Engaged with the Community
A key aspect of a successful National Research Data Programme will be the extent to which it is tied to existing leaders in the research community, and develops the New Zealand research data eco-system. In developing the NRDP workstreams, we expect natural partners will emerge for each initiative, much in the same way CONZUL have taken up the baton in breaking ground on the feasibility of a New Zealand-wide research meta-data catalogue. Likewise, Crown Research Institutes and Callaghan Innovation might become major actors in establishing and operating Active Data Bridges between research, industry and Government. We propose the NRDP as an opportunity to establish some of the missing pieces of our NZ research data eco-system, and to help key actors in NZ research and industry to excel.
eResearch 2020 Recommendations
We’ve designed the National Research Data Programme based on input from researchers, research institutions, and through engagement with public services and the international research data management community. While we’ve proposed the NRDP in some detail, we are suggesting a broad programme of change.
Individual projects will still need to be shaped and implemented, therefore the first step will be for Government and the sector to get behind establishment of a Programme Implementation capability. We recommend the following:
For Government – establish and fund the Programme Implementation workstream, either within the public service or in partnership with the research community, and bring the NRDP to life across the New Zealand research sector.
For Research Institutions – begin reorganising for digital research and data-intensive science, and ensure senior management participation in the development and implementation of the National Research Data Programme nationwide.
For Researchers, broaden your engagement with digital methods, and increase your demand for research data participation from your colleagues, your research projects and your institutions.
“Inevitably, our society’s problems in the future are going to have a data and computation aspect to them.”
PROFESSOR PETER HUNTER, ER2020 2015
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