Making an Agricultural Research Dataset FAIR: A case study of the Australian Drought Monitor Dataset
Presentation
Paper/Presentation Title | Making an Agricultural Research Dataset FAIR: A case study of the Australian Drought Monitor Dataset |
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Presentation Type | Presentation |
Authors | Gacenga, Francis, An-Vo, Duc-Anh, Cobon, David, Young, Richard and McCulloch, Jillian |
Number of Pages | 19 |
Year | 2023 |
Place of Publication | Australia |
Web Address (URL) of Conference Proceedings | https://conference.eresearch.edu.au/program/ |
Conference/Event | eResearch Australasia 2023 Conference |
Event Details | eResearch Australasia 2023 Conference Delivery In person Event Date 16 to end of 20 Oct 2023 Event Location Brisbane, Australia Event Venue Brisbane Convention & Exhibition Centre Event Description eResearch 2023 will offer delegates the opportunity 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. Event Web Address (URL) |
Abstract | Agricultural research data have traditionally been difficult to publicly access and share due in part to ownership, commercial interest, multiparty contracts between researchers, research organisations and funding bodies, as well as diverse research methods data management practice. In this presentation we discuss how the FAIR (Findable, Accessible, Interoperable and Reusable) and CARE data principles are applied to the Australian Drought Monitor dataset, a product 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 Drought Monitor was identified by our team as having a useful and useable dataset that was inaccessible to other agricultural or natural hazards researchers. By applying FAIR principles to this product, a database of NetCDF (Network Common Data Form) files and its associated metadata record has been developed for access and use by all interested researchers. We present here a case study of the process on how we applied the FAIR principles to the Australian Drought Monitor dataset and enabled its re-use and re-purposing in the Australian Research Data Commons (ARDC) funded Agricultural Research Federation (AgReFed) Platform project. |
Keywords | FAIR, Research Data Management, Drought Monitor |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 370201. Climate change processes |
460907. Information systems for sustainable development and the public good | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Research Infrastructure |
Centre for Applied Climate Sciences |
https://research.usq.edu.au/item/z28w2/making-an-agricultural-research-dataset-fair-a-case-study-of-the-australian-drought-monitor-dataset
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