Agricultural research data sharing practices for agricultural development in the Tabora and Morogoro regions of Tanzania

Limited knowledge exists about how sharing research data has benefited the agricultural sector and its stakeholders, the policy frameworks that support these practices, whether data are shared publicly, and associated risks and barriers. This study examines the practices of sharing research data for agricultural development in Tanzania. I employed an exploratory case study design and adopted a qualitative, inductive approach to gain a detailed understanding of participants’ opinions, perceptions, and attitudes towards sharing agricultural research data. Participants were selected through a combination of purposive and convenience sampling methods, totalling 43 individuals. Data were collected through desk research, semi-structured interviews, and participatory observation. I employed inductive coding and thematic analysis to interpret the data. I examined the findings using the Capability Approach (CA) and the Critical Capability Approach (CCA).
The findings indicate that within the existing research data sharing ecosystem, data are shared within trusted networks (such as research teams and colleagues) and/or mandated networks (such as funding organisations). The substantial collaboration between researchers and smallholder farmers benefits both groups. Researchers gain recognition and opportunities, such as awards for innovations developed using shared data and increased visibility. Smallholder farmers benefit from higher rice yields, improved incomes, enhanced food security, and educational opportunities for their children. Cattle farmers also produce high-quality milk and generate income from sales. Despite these advantages, the study highlights various risks and barriers. The results also reveal structural issues, power imbalances, dynamics, and unequal distribution of benefits.
This is the first effort to examine research data sharing practices for agricultural development in Tanzania. Additionally, the study contributes to the body of knowledge by addressing a research gap and offering insights into data sharing. Furthermore, it contributes to the literature as one of the few studies that employ both CA and CCA to evaluate human development initiatives or projects.