Applying the FAIR principles to the Drought Monitor to improve accessibility of data
Poster
Paper/Presentation Title | Applying the FAIR principles to the Drought Monitor to improve accessibility of data |
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Presentation Type | Poster |
Authors | Gacenga, Francis, An-Vo, Duc-Anh, McCulloch, Jillian and Cobon, David |
Journal Citation | pp. 390-390 |
Year | 2024 |
Place of Publication | Australia |
Web Address (URL) of Conference Proceedings | https://virtual.oxfordabstracts.com/#/event/4713/program |
Conference/Event | 30th Conference of the Australian Meteorological and Oceanographic Society |
Event Details | 30th Conference of the Australian Meteorological and Oceanographic Society Parent National Conference of the Australian Meteorological and Oceanographic Society Delivery In person Event Date 05 to end of 09 Feb 2024 Event Location Canberra, Australia Event Venue Hyatt Hotel, Canberra Event Web Address (URL) |
Abstract | Despite the growing requirements to make research datasets Findable, Accessible, Interoperable and Reusable (FAIR) there is scarcity in the literature describing how this can be achieved in the climate sciences. The benefits of making research datasets FAIR are well documented and commitment to FAIR principles by funding agencies and research institutions is increasing. In this paper we describe the process of retrospectively making a drought monitor dataset FAIR. We highlight the challenges faced and the approach undertaken to make the dataset FAIR. The Australian Drought Monitor (ADM) dataset was developed as part of the Northern Australia Climate Program (NACP), a joint project funded by Meat and Livestock Australia, the Queensland Drought and Climate Adaptation Program and the University of Southern Queensland (UniSQ). The aim of the NACP drought monitor dataset was to primarily generate maps to assist in decision making by farmers, policy makers and other stakeholders. Making the ADM dataset FAIR involved information management aspects in the creation of accompanying metadata, assignment of persistent identifiers and standardisation of vocabulary to improve findability, accessibility and interoperability. Contractual, legal and social aspects were necessary for securing ownership rights, attribution and licencing to enable reusability. We describe how we made the drought monitor dataset FAIR to agricultural researchers, policy makers and farm managers. These users now have better drought status information for decision making. In this paper we focus on the scientific, organisational and social processes undertaken to make a dataset reusable and subsequently increase its’ utility, citation footprint and impact. |
Keywords | FAIR, research data management, agricultural data, digital research infrastructure |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
460901. Business process management | |
300207. Agricultural systems analysis and modelling | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Southern Queensland |
Library Services |
https://research.usq.edu.au/item/z54wv/applying-the-fair-principles-to-the-drought-monitor-to-improve-accessibility-of-data
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