Data archives: Bridging the gaps in research output support

Research outputs produce a range of data types with varying levels of purpose and significance. While research projects are separate to the function of a data archive, the underlying data and computing expertise, and persistent infrastructure needs are similar - especially where outputs are of significant research and national value. To achieve persistence, preservation, and accessibility, both archives and project outputs require high levels of specialised data archival, management, and computing expertise.

The Australian Data Archive (ADA) has been providing a national service for the deposit, archiving and dissemination of digital research data since 1981; primarily in the area of the social sciences. ADA has progressively become more involved in significant research projects producing or using Indigenous data, with both Indigenous and non-Indigenous research partners. These projects, often based on extension of existing relationships, have involved collaboration and support for Indigenous data collections. Concern for data sensitivity, security, formal archival processes, and longevity are a priority – increasingly in support of Indigenous Data Sovereignty and Governance.

This presentation will give an overview of several recent ADA projects in this area: • Technical liaison and infrastructure support for the Return, Reconcile, Renew Project, for the return of Ancestral Remains • A data audit project with ANU First Nations Portfolio • Data management and archival direction for an Aboriginal land council. • A second collaboration with the land council, to pilot an Indigenous CMS for digital cultural preservation.

These case studies will consider gaps that exist in research output support for both persistent infrastructure and archival data management, gaps evident from the fact that ADA is being approached to fulfil these roles, often through relationships, rather than formal channels. The presentation will conclude with a discussion of future needs in research output support, particularly for sensitive data projects involving Indigenous data.