Dr Lesley Wyborn1,5, Joseph Gum2, Ruth Duerr3, Reyna Jenkyns4, Dr Rebecca Farrington5, Dr Tim Rawling5, Dr Kelsey Druken6
1NCI, Australian National University, Canberra, Australia, 2National Center for Atmospheric Research, Boulder, United States of America, 3Ronin Institute for Independent Scholarship, United States of America, 4World Data System, Victoria, Canada, 5AuScope Ltd, Melbourne, Australia, 6ACCESS-NRI, Canberra, Australia
Biography:
Lesley Wyborn is an Honorary Professor at ANU at the National Computational Infrastructure (NCI) and at the Research School of Earth Sciences. She also works part time for ARDC. She had 42 years’ experience in Geoscience Australia (GA) in both research and in data science/data management. Since leaving GA in 2014 has continued research in aspects of Data Science including data quality, versioning, reproducibility, operationalising the FAIR, CARE and TRUST principles and Open Science and is a player in many global informatics initiatives. Her current focus is the development of transparent high-performance aggregated national-scale datasets that are compatible with international data networks.
Abstract:
Earth and environmental (E&E) datasets play a crucial role in Sustainable Development of our Planet, contributing to the prediction of natural hazards, effective development of natural resources, long term monitoring of vegetation changes, etc. Since the 1990s there have been concerted efforts to create global data networks (e.g., OneGeology, Federated Digital Seismology Network (FDSN), Global Biodiversity Information Facility (GBIF), Earth System Grid Federation (ESGF). As these networks become accepted as critical inputs into E&E data supply chains, their vulnerability is becoming of concern. Contemporary events have highlighted the need to formally assess the resilience of infrastructures underpinning these networks.
Recently members of the Sustainable Data Management Cluster of the Earth Science Information Partners (ESIP) developed a repository scorecard (https://zenodo.org/records/15208172) to enable repositories to assess their resilience based around four scenarios:
1. Incoming Natural Disaster forecast to hit the repository in 48 hours. The focus is on local destruction of the facility;
2. Loss of Organizational Funding requiring shut down within one month. The focus is total loss of the repository, but with time for mitigating actions;
3. Cyberattack/Organisational Infiltration with hostile agents gaining control of the cyberinfrastructure. The focus is on sudden denial of access to data; and
4. Loss of Technical Expertise critical to running the repository. The focus is on loss of expertise to keep the repository running.
This presentation will outline key elements of measuring repository resilience, and will present suggestions to develop international consensus on policies and agreements for sustaining critical global E&E data supply chains.