New report that analyses the farm-level data collection practices of selected public and private sustainability-related certification schemes.
Title: Challenges and opportunities in data collection for sustainable farming: Lessons from EU certification schemes
URL: https://dx.doi.org/10.2760/036505
Year: 2024
Authors: Antonioli, F; Isbasoiu, A; Ciaian, P; Tur Cardona, J; Fellmann, T
Journal: Publications Office of the European Union
Abstract: This report analyses the farm-level data collection practices of selected public and private sustainability-related certification schemes, with the aim of providing insights into synergies and gaps for the upcoming Farm Sustainability Data Network, which will collect data on environmental and social issues. The analysis is based on online surveys, semi-semi-structured interviews and desk research carried out between June and October 2023. Out of 188 common agricultural policy (CAP) interventions associated with certification schemes within the CAP strategic plans of the Member States, 25 relevant certification schemes were pre-selected for consideration in this report. A total of 10 respondents (i.e. certification agencies and, in some cases, responsible public authorities) participated, covering 16 certification schemes, resulting in response rates of 48 % for respondents and 64 % for certification schemes. Key findings relate to the monitoring practices of operators by certification agencies, data collection methods, data sources, data management practices, data exchange and costs incurred. Respondents rated the data collection process as somewhat costly for both certification agencies and farmers. The main challenges and burdens of the data collection process identified by the respondents are also outlined. The analysis indicates that, while data on environmental and social sustainability are available, considerable efforts are required to collect quantitative data and ensure that they are consistent, digitalised and accessible. The voluntary nature of participation in certification schemes limits the representativeness of the data collected and introduces selection bias. Furthermore, increasing farmers’ understanding of the purpose and benefits of data collection is crucial for motivating farmers. Providing incentives and collaborating with organisations that have direct contact with farmers can increase farmers’ willingness to participate.
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