- Title
- Livestock data – is it there and is it FAIR? A systematic review of livestock farming datasets in Australia
- Creator
- Bahlo, Christiane; Dahlhaus, Peter
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/179013
- Identifier
- vital:15489
- Identifier
-
https://doi.org/10.1016/j.compag.2021.106365
- Identifier
- ISBN:0168-1699 (ISSN)
- Abstract
- The global adoption of the FAIR principles for scientific data: findable, accessible, interoperable and reusable, has been relatively slow in agriculture, compared to other disciplines. A recent review of the literature showed that the use of precision farming technologies and the development and adoption of open data standards was particularly low in extensive livestock farming. However, a plethora of public datasets exist that have the potential to be used to inform precision farming decision tools. Using extensive livestock farming in Australia as example, we investigate the quantity and quality of datasets available via a systematic dataset review. This systematic review of datasets begins with a search of open data catalogues and querying these to find datasets. Software scripts are developed and used to query the Application Programming Interfaces (APIs) of many of the large data catalogues in Australia, while catalogues without public APIs are queried manually via available web portals. Following the systematic search, a combined list of all datasets is collated and tested for FAIRness and other quality metrics. The contribution of this work is the resulting overview of the state of open datasets within the livestock farming domain on the one hand, but also the development of a systematic dataset search strategy, reusable methods and software scripts. © 2021 Elsevier B.V.
- Publisher
- Elsevier B.V.
- Relation
- Computers and Electronics in Agriculture Vol. 188, no. (2021), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2021 Elsevier B.V.
- Rights
- Open Access
- Subject
- 07 Agricultural and Veterinary Sciences; 08 Information and Computing Sciences; 09 Engineering; Extensive livestock farming; FAIR assessment; FAIR data; Livestock data quality; Precision livestock farming; Systematic data review
- Full Text
- Reviewed
- Funder
- Support by an Australian Government Research Training Program (RTP) Fee-Offset Scholarship through Federation University Australia and from the Australian Regional Universities Network Precision Agriculture Flagship (RUNPAF) is acknowledged.
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