Making the invisible visible : The impact of federating groundwater data in Victoria, Australia
- Authors: Dahlhaus, Peter , Murphy, Angela , MacLeod, Andrew , Thompson, Helen , McKenna, Kirsten , Ollerenshaw, Alison
- Date: 2016
- Type: Text , Journal article
- Relation: Journal of Hydroinformatics Vol. 18, no. 2 (2016), p. 238-255
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- Description: The Visualising Victoria's Groundwater (VVG) web portal federates groundwater data for the State of Victoria, Australia, thus making legacy data, government datasets, research data and community sourced data and observations visible to the public. The portal is innovative because it was developed outside of the government and offers real-time accessto remote authoritative databases by integrating the interoperable web services they each provide. It includes tools for data querying and 3D visualisations that were designed to meet end-user needs and educate the broader community about a normally invisible resource. The social impact of the web portal was measured using multidisciplinary research that employed survey instruments, expert reference groups, and internet analytics to explore the extent to which the web portal has supported decision making by governments, industry, researchers and the community. The research found that single access, multiple data set web portals enhance capacity by providing timely, informed and accurate responses to answer queries and increase productivity by saving time. The provision of multiple datasets from disparate sources within a single portal has changed practices in the Victorian groundwater industry. © 2016 The Authors.
Development and governance of FAIR thresholds for a data federation
- Authors: Wong, Megan , Levett, Kerry , Lee, Ashlin , Box, Paul , Simons, Bruce , David, Rakesh , MacLeod, Andrew , Taylor, Nicolas , Schneider, Derek , Thompson, Helen
- Date: 2022
- Type: Text , Journal article
- Relation: Data Science Journal Vol. 21, no. (2022), p.
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- Description: The FAIR (findable, accessible, interoperable, and re-usable) principles and practice recommendations provide high level guidance and recommendations that are not research-domain specific in nature. There remains a gap in practice at the data provider and domain scientist level demonstrating how the FAIR principles can be applied beyond a set of generalist guidelines to meet the needs of a specific domain community. We present our insights developing FAIR thresholds in a domain specific context for self-governance by a community (agricultural research). ‘Minimum thresholds’ for FAIR data are required to align expectations for data delivered from providers’ distributed data stores through a community-governed federation (the Agricultural Research Federation, AgReFed). Data providers were supported to make data holdings more FAIR. There was a range of different FAIR starting points, organisational goals, and end user needs, solutions, and capabilities. This informed the distilling of a set of FAIR criteria ranging from ‘Minimum thresholds’ to ‘Stretch targets’. These were operationalised through consensus into a framework for governance and implementation by the agricultural research domain community. Improving the FAIR maturity of data took resourcing and incentive to do so, highlighting the challenge for data federations to generate value whilst reducing costs of participation. Our experience showed a role for supporting collective advocacy, relationship brokering, tailored support, and low-bar tooling access particularly across the areas of data structure, access and semantics that were challenging to domain researchers. Active democratic participation supported by a governance framework like AgReFed’s will ensure participants have a say in how federations can deliver individual and collective benefits for members. © 2022 The Author(s).