AARNet is a partner in two demonstrator projects that support the supply of digitised collections for the purposes of research reuse. AARNet's involvement has been two-fold: curatorial (the approach to providing collections "as data" and the development of "bulk" reference datasets) and technical (the use of CloudStor group allocations and file sharing, FileSender function and API, and integration with Jupyter notebooks, to support human to machine data flows).
Demonstrator project #1
Demonstrator project #2
This paper reports on progress to date, and the critical dialogue between the project teams, on matters curatorial and technical.