Conference presentation
Developing best practice principles for Ag Data: Australian case study
Interest Group on Agricultural Data (IGAD) Pre-Meeting of the Research Data Alliance (RDA) 14th Plenary 2019 (Helsinki, Finland, 22-Oct-2019)
Research Data Alliance
2019
Abstract
Agricultural data must be managed like any other asset. This requires strategy and best management practice. For the full value to be ascertained from Ag Data, those organisations that collect, manage and share Ag data should have a clear direction and sense of what is to be achieved and how best to achieve that goal. While many different industries are developing Data Strategies to guide the creation of an enabling environment for data sharing, many have yet to embed best management practice for data. Best Management Practice should not only ensure that the technical and technological capabilities of data management and sharing are addressed but also that the legal, ethical and security concerns of the farmers and agricultural industries who contribute the data, are also considered as part of best management practice. The focus of this paper is to discuss the development of Best Management Practice principles for Australian agricultural industries. In line with RDA/IGAD recommendations, the Best Management Practice principles emphasize the importance of transparency and trust in the way that ag data is collected, managed and shared.
Details
- Title
- Developing best practice principles for Ag Data: Australian case study
- Authors
- Leanne Wiseman (Author) - Griffith UniversityJay Sanderson (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
- Conference details
- Interest Group on Agricultural Data (IGAD) Pre-Meeting of the Research Data Alliance (RDA) 14th Plenary 2019 (Helsinki, Finland, 22-Oct-2019)
- Publisher
- Research Data Alliance
- Date published
- 2019
- DOI
- 10.7490/f1000research.1117581.1
- Copyright note
- Copyright © 2019 Wiseman L and Sanderson J. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Law and Society; School of Law and Criminology - Legacy
- Language
- English
- Record Identifier
- 99450709102621
- Output Type
- Conference presentation
- Research Statement
- false
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