Towards a Common Agricultural Data Space in the European Union: A Sustainable Development Perspective

K. Kosior
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引用次数: 1

Abstract

In February 2020 the European Commission announced a new strategy for data in which an innovative proposal to create a single European data space composed of many sectoral common data spaces, including the agriculture sector, was presented. It is expected that the common agricultural data space will provide support for delivering a smart, innovative and sustainable agri-food system from farm to fork. Based on the analysis of framework conditions for pooling and sharing agricultural data in the EU and the Commission’s initiatives in this area, this article aims to discuss how and to what extent the common data space in agriculture could contribute to environmental, economic and social sustainability in the EU. It was concluded that the achievement of sustainability goals with the help of the planned common data space remains challenging, particularly in the context of rapid, but uneven pace of digital transformation in the agri-food sector in the EU. Overcoming legal, technical and other barriers to data sharing in the EU will not remove the fundamental problems of limited representativeness of current agricultural data assets in the EU. The design of the common data space in agriculture as well as the rules for data access and use should therefore be carefully considered. Also, specific and datarelated intervention measures, e.g. under the CAP, would be needed both to decrease the problem of a fragmented farm data landscape and to respond to the growing needs to collect and share private farm data that are highly relevant to achieving broader social goals and sustainability.
迈向欧盟共同农业数据空间:可持续发展视角
2020年2月,欧盟委员会宣布了一项新的数据战略,其中提出了一项创新建议,即创建一个由包括农业部门在内的许多部门共同数据空间组成的单一欧洲数据空间。预计共同农业数据空间将为从农场到餐桌的智能、创新和可持续农业食品系统提供支持。基于对欧盟农业数据汇集和共享的框架条件的分析,以及欧盟委员会在这一领域的举措,本文旨在讨论农业公共数据空间如何以及在多大程度上有助于欧盟的环境、经济和社会可持续性。结论是,在规划的公共数据空间的帮助下实现可持续发展目标仍然具有挑战性,特别是在欧盟农业食品部门数字化转型快速但不平衡的背景下。克服欧盟数据共享的法律、技术和其他障碍,并不能消除欧盟当前农业数据资产代表性有限的根本问题。因此,应仔细考虑农业公共数据空间的设计以及数据访问和使用规则。此外,需要采取具体的和与数据相关的干预措施,例如在共同农业政策下,以减少农场数据格局碎片化的问题,并响应日益增长的收集和共享私人农场数据的需求,这些数据与实现更广泛的社会目标和可持续性高度相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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