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

Kosior, Katarzyna

doi:doi:10.53098/wir022021/03

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

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.

References:

Antle J.M. (2019). Data, economics and computational agricultural science. American Journal of Agricultural Economics, 101 (2), 365–382.
Balafoutis A., Beck B., Fountas S., Vangeyte J., Wal T.V.D., Soto I., Gómez-Barbero M., Barnes A., Eory V. (2017). Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics. Sustainability, 9 (8), 1339.
Beste A. (2021). Precision farming – or “The emperor’s new clothes”? Agricultural and Rural Convention – ARC2020. https://www.arc2020.eu/precision-farming-or-the-emperors-new-clothes/ (access: 26 May 2021).
Burg S. van der, Oosterkamp E., Bogaardt M.J., Regan A., Tabeau-Kowalska E., Popa E., Wattel C., Brunori G., Favelli E. (2020). Futures of farm data sharing practices. Perspectives of European farmers, researchers and agri-tech businesses. Internet of Food and Farm 2020, Report D7.4.
Burg S. van der, Wiseman L., Krkeljas J. (2020). Trust in farm data sharing: Reflections on the EU code of conduct for agricultural data sharing. Ethics and Information Technology.
Clapp J., Ruder S.-L. (2020). Precision technologies for agriculture: Digital farming, geneedited crops, and the politics of sustainability. Global Environmental Politics, 20 (3), 49–69.
Dasgupta P. (2021). The Economics of Biodiversity: The Dasgupta Review. London: HM Treasury.
European Commission (2020a). A European Strategy for Data: Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. 19.2.2020, COM(2020) 66 final. Brussels: European Commission.
European Commission (2020b). Digital Economy and Society Index (DESI) 2020. Thematic chapters (pp. 18–36). Brussels: European Commission.
Expert Workshop (2020). How to build a “Common European Agricultural Data Space”, summarized in workshop report prepared by Faraldi M., Micheletti G. and Pepato C., 8.09.2020. Brussels.
Gossé J., Hoffreumon Ch., Zeebroeck N. van (2020). European Enterprise Survey on the Use of Technologies Based on Artificial Intelligence. A Study Prepared for the European Commission. Luxembourg: Publications Office of the European Union.
Idel A., Beste A. (2020). The Myth of Climate Smart Agriculture – Why Less Bad Isn’t Good. Commission by Martin Häusling MEP. Version updated in April 2020. https://gesunde-erde.net/media/myth_of_climate_smart_agriculture_final.pdf (access: 26 May 2021).
IDSA [International Data Space Association] (2021). Design principles for data spaces. Position paper – version 1.0. April. Dortmund: International Data Spaces Association.
Joint Declaration (2019). Declaration of cooperation on A smart and sustainable digital future for European agriculture and rural areas signed by 26 EU Member States on 5 April 2019 in Brussels.
Jouanjean M.-A., Casalini F., Wiseman L., Gray E. (2020). Issues around data governance in the digital transformation of agriculture: The farmers’ perspective. OECD Food, Agriculture and Fisheries Papers, No. 146. Paris: OECD Publishing.
Kernecker M., Knierim A., Wurbs A., Kraus T., Borges F. (2020). Experience versus expectation: Farmers’ perceptions of smart farming technologies for cropping systems across Europe. Precision Agriculture, 21 (1).
Kritikos M. (2017). Precision Agriculture in Europe – Legal Social and Ethical Considerations. Brussels: European Parliamentary Research Service.
Lajoie-O’Malley A., Bronson K., Burg S. van der, Klerkx L. (2020). The future(s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents. Ecosystem Services, 45, 101183.
Nguyen D., Paczos M. (2020). Measuring the economic value of data and cross-border data flows – A business perspective. OECD Digital Economy Papers, No. 297. Paris: OECD Publishing.
Pedersen S.M., Lind K.M. (2017). Precision agriculture – From mapping to site-specific application. In: S.M. Pedersen, K.M. Lind (eds.). Precision Agriculture: Technology and Economic Perspectives (pp. 5–12). Cham: Springer.
Posadas B.B., Gilbert J.E. (2020). Regulating Big Data in agriculture. IEEE Technology and Society Magazine, September, 86–92.
Sadowski J. (2019). When data is capital: Datafication, accumulation, and extraction. Big Data & Society, 6 (1), 1–12.
Scholz R.W., Bartelsman E.J., Diefenbach S., Franke L., Grunwald A., Helbing D. et al. (2018). Unintended side effects of the digital transition: European scientists’ messages from a proposition-based expert round table. Sustainability, 10 (6), 2001.
Schönfeld M.V., Heil R., Bittner L. (2018). Big data on a farm – Smart farming. In: T. Hoeren, B. Kolany-Raiser (eds.). Big Data in Context. Legal, Social, and Technological Insights (pp. 109–120). Cham: Springer.
Soto I., Barnes A., Balafoutis A., Beck B., Sánchez B., Vangeyte J., Fountas S., Van der Val T., Eory V., Gómez-Barbero M. (2019). The Contribution of Precision Agriculture Technologies to Farm Productivity and the Mitigation of Greenhouse Gas Emissions in the EU. Luxembourg: Publications Office of the European Union.
Staboulis M., Kostas A. (2020). The evolving nature of work in the agri-foodstuffs sector: The impact of precision agriculture and the necessity of acquiring new skills through lifelong learning. Social Cohesion and Development, 15 (1), 49–59.
Wiseman L., Sanderson J., Zhang A., Jakku E. (2019). Farmers and their data: An examination of farmers’ reluctance to share their data through the lens of the laws impacting smart farming. NJAS – Wageningen Journal of Life Sciences, 90–91.