Dr Amir Aryani1, Dr Steven McEachern2, Mr Peter Vats3, Ms Ingrid Mason2, Ms Marina McGale2, Mr John Scullen4, Dr Loren Bruns5
1Swinburne University Of Technology, Melbourne, , 2Australian Data Archive, Canberra, , 3Research Graph Foundation Ltd., Melbourne, , 4Australian Access Federation, Brisbane, , 5AURIN, Melbourne,
In this presentation, we will report on augmenting metadata from Australian Data Archive (ADA) using connections to ORCID and DOIs across the global network of scholarly works. This work is part of the CADRE project (cadre5safes.org.au), aiming to get insights into research and researchers connected to data collections managed by ADA.
Metadata enrichment and interlinking widen and improve project metadata quality thereby facilitating better discoverability, data management, and interoperability. We used Research Graph’s schema (meta-model) to establish the original network of the Australian Data Archive’s existing connections and visualise the network before augmenting it with any additional metadata. In the next step, we made use of the Research Graph Augment API to augment the original ADA Graph with additional metadata from the global network of scholarly works. This presentation will include a visualisation of the ADA graph before and after augmentation, and we will explore the expansion of ADA connections to grants, publications, datasets and researchers beyond existing ADA metadata.
This is a demonstration of how persistent identifiers such as ORCID and DOI can transform disconnected metadata records into a connected graph. Such connections enable better insights into the impact of investment in data collection and assist in finding more about the derived research from these collections. In addition, the augmented graph can lead to better reuse and discoverability of research data, and hence, improving the return of investment on curating, and managing data collections.
Biography:
Amir Aryani is the founder of Research Graph Technology and the secretary of the Research Graph Foundation. Since 2015, the Foundation has contributed to a number of research and infrastructure projects on interlinking and knowledge mining from the distributed network of scholarly records. In other capacities, Amir leads the Swinburne node for the Centre for Information Resilience (CIRES) and Social Data Analytics Lab at Swinburne. He is an adjunct professor at the University of Canberra, and he is leading the Data CO-OP platform, a joint venture with Swinburne, the University of Canberra, Griffith University and a number of other universities working closely with local/state governments and the non-profit sector on building data collaborative projects.
ORCID: https://orcid.org/0000-0002-4259-9774