A CARE and FAIR-ready distributed access control system for human-created data using the Australian Access Federation and beyond

Dr Peter Sefton1, Jenny Fewster, Moises Sacal Bonequi, Cale Johnstone, Catherine Travis, River Tae Smith, Patrick Carnuccio

1University Of Queensland, ,

Last year at eResearch Australasia, the Language Data Commons of Australia (LDaCA) team presented a design for a distributed access control system which could look after the “A” in FAIR data; in this presentation we describe and demonstrate a pilot system based on that design, showing how data licences that allow access by identified groups of people to language data collections can be used with an AAF pilot system (CILogon) to give the right people access to data resources.

The ARDC have invested in a pilot of this work as part of the HASS Research Data Commons and Indigenous Research Capability Program integration activities.

A challenge is in developing a data access policy that works across a range of different collections of language data. Here we present a pilot data access policy that we have developed, describing how this policy captures the decisions that must be made by a range of data providers to ensure data accessibility that complies with diverse legal, moral and ethical considerations.

We will discuss how the CARE [1] and FAIR [2]  principles underpin this work, and compare this work to other projects such as CADRE, which promise to deliver more complex solutions in the future. Initial work is with collections curated in a research context but we will also address community access to these resources.


Biography:

Peter Sefton is an eResearch expert, specialising in software development, Research Data Management and metadata, currently leading the technology and infrastructure team for the Language Research Data Commons project at the University of Queensland.

Categories