Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/31412
Title: Data sharing platforms: How value is created from agricultural data
Contributor(s): Wysel, Matthew  (author)orcid ; Baker, Derek  (author)orcid ; Billingsley, William  (author)orcid 
Publication Date: 2021-10
Early Online Version: 2021-07-26
DOI: 10.1016/j.agsy.2021.103241
Handle Link: https://hdl.handle.net/1959.11/31412
Abstract: CONTEXT
Across agriculture, data is produced, enriched, and consumed through the centuries-old practices of producing food and fibre. The adoption of Smart Farming and its connected services and techniques accelerates agriculture's dependence on data, yet the process of creating value from data is not well understood.
OBJECTIVE
What assets and management decisions comprise the process of creating value from data? What are the properties of this process, and where should resources be invested to increase the value created from agricultural data?
METHODS
We extend platform economics theory with the results from a recent systematic literature review of Big Data in Smart Farming to show the creation of value from data occurs in Data Sharing Platforms.
RESULTS AND CONCLUSIONS
Data sharing platforms are systems that connect the layers of the ‘platform stack’ with pertinent management tasks to create value from data. We illustrate this arrangement as a sectioned, three-circle Venn Diagram and evaluate the efficacy of common data management techniques in the creation of value from data. This paper concludes that value is created from data only when each of the components of data sharing platforms are present and that the operation of a data sharing platform describes the process that takes data as an input and produces value as an output. Further conclusions relate to commercial and institutional aspects of the creation of value from Smart Farming data.
SIGNIFICANCE
The proposed model is useful for evaluating production processes that create value from data. This paper details several avenues for extension. Productive models of systems that rely on data as a core asset may now be assembled. Policies that trade off technical characteristics of data with social impacts of data may now be approached. Questions surrounding data ownership may be considered with greater clarity.
Publication Type: Journal Article
Source of Publication: Agricultural Systems, v.193, p. 1-12
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1873-2267
0308-521X
Fields of Research (FoR) 2020: 380101 Agricultural economics
350302 Business information management (incl. records, knowledge and intelligence)
460912 Knowledge and information management
Socio-Economic Objective (SEO) 2020: 150306 Technological and organisational innovation
220408 Information systems
100401 Beef cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology
UNE Business School

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