Training collaborations: Getting specific about sustainable impact
Laura Armstrong1, Anastasios Papaioannou3, Dr Darya Vanichkina5, Ms Liz Stokes2, Michael Lynch6, Matthias Liffers4
1Auckland University, Auckland, New Zealand
2Australian Research Data Commons, Sydney, Australia
3Intersect, Sydney, Australia
4Curtin University, Perth, Australia
5University of Sydney, Sydney, Australia
6University of Technology Sydney, Sydney, Australia
The Research Bazaar (ResBaz) model is a collaborative response to designing, implementing and delivering eResearch and data skills training to the research community. Successful ResBaz festivals are the product of strong leadership, shared goals and practical collaboration among local skills providers. ResBaz achieves what individual organisations on their own cannot: fostering collaborative multidisciplinary networks among researchers in a digital skills learning environment.
The collaboratively organised ResBaz digital skills festival model has worked well as a common framework because it is flexible enough for local organising teams to tailor their efforts to their immediate communities. In 2021 ResBaz organisers across Australia and New Zealand coordinated more closely with each other, providing support for common goals, and sharing resources. Auckland’s bold move to shift online in 2020 proved ResBaz could retain it’s collaborative networking and community ethos online.
Running a ResBaz in a virtual environment raises more opportunities for collaboration and resource sharing. However, the instant pivots of 2020 are unsustainable, and organisers cannot carry these on passion alone. A coordinated approach is required to foster institutional support. Would formal regional coordination further increase the training impact of ResBaz? What self governing mechanisms will assure success?
The aim of this BoF is to identify components of national or regional infrastructure to set ResBaz festivals on a course for a robust and self-sustaining future. If you are responsible for digital and data skills training to your research community, we look forward to your input.
Laura Armstrong, https://orcid.org/0000-0003-2370-3924
Anastasios Papaioannou, https://orcid.org/0000-0002-8959-4559
Darya Vanichkina, https://orcid.org/0000-0002-0406-164X
Liz Stokes, https://orcid.org/0000-0002-2973-5647
Michael Lynch, https://orcid.org/0000-0001-5152-5307