Data sharing platforms: How value is created from agricultural data,Agricultural Systems

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Data sharing platforms: How value is created from agricultural data
Agricultural Systems ( IF 6.1 ) Pub Date : 2021-07-26 , DOI: 10.1016/j.agsy.2021.103241
Matthew Wysel ₁ , Derek Baker ₁ , William Billingsley ₂

Affiliation

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.

中文翻译：

数据共享平台：农业数据如何创造价值

语境

在整个农业领域，数据是通过数百年的食品和纤维生产实践产生、丰富和消费的。智能农业及其互联服务和技术的采用加速了农业对数据的依赖，但从数据中创造价值的过程尚不清楚。

客观的

哪些资产和管理决策构成了从数据中创造价值的过程？这个过程的特性是什么，应该在哪里投资资源来增加农业数据创造的价值？

方法

我们利用最近对智能农业中的大数据的系统文献综述的结果扩展了平台经济学理论，以展示数据共享平台中发生的数据价值创造。

结果和结论

数据共享平台是将“平台堆栈”的各个层与相关管理任务连接起来以从数据中创造价值的系统。我们将这种安排说明为一个分段的三圈维恩图，并评估常见数据管理技术在从数据中创造价值方面的功效。本文的结论是，只有当数据共享平台的每个组件都存在时，才能从数据中创造价值，并且数据共享平台的运行描述了以数据为输入并产生价值作为输出的过程。进一步的结论涉及从智能农业数据创造价值的商业和制度方面。