Project Homepage:

Data collections can be seen on:!/q=The Australian National University

Software is available at:

Software categories:

Integration metadata from various systems which are internal to an institution

Integration collection records

party records and activity records which may be external to an institution

Project Members:

Doug Moncur (Data Source Administrator,

Rahul Khanna (Developer,

Genevieve Turner (Developer,

ANDS Contact:

Andrew Williams (

Project Status:

In Progress

The ANU Seeding the Commons Project

Australian National University

Project Description:

The ANU Seeding the Commons Project was positioned within the ANU-ANDS Engagement Framework, which was developed to ensure institutional interests and responsibilities were aligned with ANDS mission and strategies.

The Project initiated and developed data management processes in strategic research areas in ways that met the requirements of the ANDS Seeding the Commons Program. The central goal of the Project was to develop policies and management processes underpinning the ingestion of ANU research data into the Australian Research Data Commons.

In keeping with the goals of the Engagement Framework, an ANU Data Directory was established within the Project to manage descriptions of research data collections within a common platform.

The central goal of the Project was to facilitate the discovery and publication of existing data, metadata, and contextual information from research work carried out by ANU research groups and collaborating partners. The Project exposed research data held at the ANU through the Commons. Funding was applied to identifying, describing and managing descriptions of the data. An audit of research materials associated with ANU research projects was carried out to identify materials worthy of exposure as contributions to the University’s and the ANDS data commons vision. By identifying these datasets the Division of Information hoped to encourage the development of a culture of dataset publication.

Implementation rested on coordinated contributions from Library, Research Office, Division of Information research support areas, as well as research groups. Emphasis was placed on the sustainable integration of the outcomes of the Project with the procedures, systems and policies of the University. The project was linked to the University’s access portals, such as Scholar’s Gate, and with the ANDS discovery portal, Research Data Australia.

The Project complemented the University’s ANDS Data Capture and Metadata Stores Projects. Realising synergies with University data storage and management services was an integral part of the Project. It was commonly recognised that one of the barriers to successful dataset publication is the generation of valid item and collection level metadata. The ANU will seek to leverage off the work in its Data Capture projects to put in place tools to facilitate dataset publication.

The ANU sought to modify its publication policies to allow ease of reuse and simplify the administrative framework around dataset publication. Work has already been undertaken in this area, and there is a recognition that further work is required. The work may involve modification of existing policy, the creation of new policy, or both.

High Level Software Functionality:

A working feed of records describing Collections and associated Activities, Parties and Service to Research Data Australia

Alignment of Party records University HR, with new researcher descriptions added to the metadata through regular updates from the name authority

Alignment of Party records with the ARDC Party Infrastructure Project, with researcher descriptions contributed to the NLA and with People Australia identifiers recorded against researchers

Alignment of Activity records with University and external sources of truth (Research Office, ARC and NHMRC grant registries), with new research projects added to the metadata through regular updates from the sources of truth

Workflow for registering new Collections in the University

Strategic reporting on contents and coverage of metadata store for internal use

Storage and exposure for discovery of object level metadata, and alignment of object level metadata with collection metadata

Storage and management of technical metadata for object and collection reuse, including software and equipment descriptions, methodology, and data interpretation