What are the priority research questions for digital agriculture?
What are the priority research questions for digital agriculture?
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DOI：
10.1016/j.landusepol.2021.105962
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发表时间：
2022-01-08
期刊：
影响因子：
7.1
通讯作者：
Wilson, Lucy
中科院分区：
文献类型：
--
作者：
Ingram, Julie;Maye, Damian;Wilson, Lucy
有必要确定与农业生产数字化相关的现有和新出现的关键问题，这些问题将受益于更强大的证据基础，并有助于指导政策制定。为了解决这个问题，进行了优先排序，以确定有关英国数字农业的优先研究问题，但同时也为国际环境提供信息。确定优先次序的工作采用了一种既定和有效的参与性方法，以收集和整理广泛的意见。该方法包括确定大量的参与者，并引出一个初步的研究问题清单，该清单在随后的投票阶段中被缩减和细化，以按主题选择最优先的问题。参与者是使用有目的的抽样和滚雪球来选择的，以代表英国各地的一些部门，组织，公司和学科。他们每个人都被邀请根据某些标准提交最多10个问题，这导致40名参与者（主要来自英格兰，部分来自苏格兰和威尔士）提出了195个问题。通过迭代分析对这些问题进行初步分析和聚类，确定了以下七个主题：数据治理;数据管理;促进数据和技术的使用;了解数据和技术的好处和吸收;优化数据和技术以提高绩效;数字农业的影响;以及新的合作安排。随后的投票阶段，使用在线排名练习和参与者研讨会进行深入讨论，将问题细化为总共27个优先研究问题，分为7个主题的15个金牌，7个银和5个铜牌。这些问题大大丰富和扩展了以前的集群和议程设置使用的文献来源，并提供了一系列新的视角。分析强调了主题和问题的相互关联性，并为未来的研究提出了两个联系：价值的不同维度，以及支持农业数字化的社会和制度安排。这些强调跨学科和跨学科的重要性，以及需要解决当前分析框架的二元性质。这些新的见解同样适用于英国以外的情况。本文强调了研究行动为政策提供信息的必要性，不仅通过加强证据基础，而且在概念上促进新思维。据我们所知，这一方法以前没有适用于这一专题。
There is a need to identify key existing and emerging issues relevant to digitalisation in agricultural production that would benefit from a stronger evidence base and help steer policy formulation. To address this, a prioritisation exercise was undertaken to identify priority research questions concerning digital agriculture in the UK, but with a view to also informing international contexts. The prioritisation exercise uses an established and effective participatory methodology for capturing and ordering a wide range of views. The method involves identifying a large number of participants and eliciting an initial long list of research questions which is reduced and refined in subsequent voting stages to select the top priorities by theme. Participants were selected using purposive sampling and snowballing to represent a number of sectors, organisations, companies and disciplines across the UK. They were each invited to submit up to 10 questions according to certain criteria, and this resulted in 195 questions from a range of 40 participants (largely from England with some representation from Scotland and Wales). Preliminary analysis and clustering of these questions through iterative analysis identified seven themes as follows: data governance; data management; enabling use of data and technologies; understanding benefits and uptake of data and technologies; optimising data and technologies for performance; impacts of digital agriculture; and new collaborative arrangements. Subsequent stages of voting, using an online ranking exercise and a participant workshop for in-depth discussion, refined the questions to a total of 27 priority research questions categorised into 15 gold, 7 silver and 5 bronze, across the 7 themes. The questions significantly enrich and extend previous clustering and agenda setting using literature sources, and provide a range of new perspectives. The analysis highlights the interconnectedness of themes and questions, and proposes two nexus for future research: the different dimensions of value, and the social and institutional arrangements to support digitalisation in agriculture. These emphasise the importance of interdisciplinarity and transdisciplinarity, and the need to tackle the binary nature of current analytical frames. These new insights are equally relevant to contexts outside the UK. This paper highlights the need for research actions to inform policy, not only instrumentally by strengthening the evidence base, but also conceptually, to prompt new thinking. To our knowledge this methodology has not been previously applied to this topic.