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Issues around data governance in the digital transformation of agriculture: The farmers’ perspective

Author

Listed:
  • Marie-Agnes Jouanjean

    (OECD)

  • Francesca Casalini

    (OECD)

  • Leanne Wiseman

    (Griffith University)

  • Emily Gray

    (OECD)

Abstract

Agricultural data and their use for better decision-making and innovation are at the core of the digital transformation of agriculture. But fragmented and unclear data governance arrangements may weaken farmers’ willingness to adopt digital solutions. This, in turn, may reduce the availability and accessibility of agricultural data for policymaking, for the agricultural innovation system, and for developing services for farmers. A key challenge for policy makers lies in finding a balance between protecting the privacy and confidentiality of agricultural data, and farmers’ economic interests in those data, while making it possible to leverage their potential for the sector’s growth and innovation. This report focuses on farmers’ concerns around access, sharing and use of agricultural data and explores whether and how existing policy frameworks and other sectoral initiatives can help to foster greater trust.

Suggested Citation

  • Marie-Agnes Jouanjean & Francesca Casalini & Leanne Wiseman & Emily Gray, 2020. "Issues around data governance in the digital transformation of agriculture: The farmers’ perspective," OECD Food, Agriculture and Fisheries Papers 146, OECD Publishing.
    • Handle: RePEc:oec:agraaa:146-en
    DOI: 10.1787/53ecf2ab-en
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    Cited by:

    1. Ehlers, Melf-Hinrich & Finger, Robert & El Benni, Nadja & Gocht, Alexander & Sørensen, Claus Aage Grøn & Gusset, Markus & Pfeifer, Catherine & Poppe, Krijn & Regan, Áine & Rose, David Christian & Wolf, 2022. "Scenarios for European agricultural policymaking in the era of digitalisation," Agricultural Systems, Elsevier, vol. 196(C).
    2. Klingenberg, Cristina Orsolin & Valle Antunes Júnior, José Antônio & Müller-Seitz, Gordon, 2022. "Impacts of digitalization on value creation and capture: Evidence from the agricultural value chain," Agricultural Systems, Elsevier, vol. 201(C).
    3. Sukoluhle Mazwane & Moraka N. Makhura & Mmapatla P. Senyolo, 2022. "Important Policy Parameters for the Development of Inclusive Digital Agriculture: Implications for the Redistributive Land Reform Program in South Africa," Agriculture, MDPI, vol. 12(12), pages 1-15, December.
    4. Jonathan R. McFadden & Alicia Rosburg & Eric Njuki, 2022. "Information inputs and technical efficiency in midwest corn production: evidence from farmers' use of yield and soil maps," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 589-612, March.

    More about this item

    Keywords

    data cooperatives; data ownership; innovation policy;
    All these keywords.

    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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