Recognising valuable data collections as national research assets: The foundations of impact

Dr Max Wilkinson1

1ARDC, Canberra, Australia

The ARDC believes that to maximise the impact of research data output, researchers must have timely access to high quality data collections, stored on stable and persistent infrastructure.  A primary framework to deliver this outcome are the FAIR data principles as applied to content, specifically valuable national data collections.  Through partnerships with eligible organisations, the Data Retention Project focuses on the F, A and R aspects of FAIR and lays the foundations that embed incentives in both business and data management practices.

Partnerships in the Data Retention Project will embed contemporary research data management processes that enrich data collections with controlled and consistent metadata into common infrastructure business models.

This presentation will discuss the challenges of bridging the gap between information management and service provision in the context of the ARDC strategic vision and explain the approaches we have taken to realise the benefits to the Australian research sector.


Biography:

Max Wilkinson is the Research Data Infrastructure Architect for the ARDC,  following a 5 year period as an independent consultant providing services to the research data management, governance and infrastructure domains in New Zealand and Australia. He spent 20 years in the UK, most recently as Head of Research Data Services at UCL, the Datasets Programme Manager at the British Library and Informatics coordinator at Cancer Research UK.  His interests include navigating the complex nature of research data management, in particular the role of ownership, responsibility and infrastructure in the scholarly record.

About the conference

eResearch Australasia provides opportunities for delegates to engage, connect, and share their ideas and exemplars concerning new information centric research capabilities, and how information and communication technologies help researchers to collaborate, collect, manage, share, process, analyse, store, find, understand and re-use information.

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