The study at hand measures the value of improving data governance and access in the Supporting Soil Health Interventions (SSHI) project in Ethiopia. We applied two separate but interlinked models, one qualitative and one quantitative, to create a new framework enhancing the traditional cost–benefit analysis. The qualitative analysis provided novel insights into the specific types of value and the mechanisms through which they are generated. These results underpinned the development of an innovative framework to measure this perceived value quantitatively. By combining the quantitative and qualitative framework, the study demonstrated that it is possible to generate plausible and credible quantitative estimates of both costs and benefits of data governance and access. While acknowledging that the estimates are only illustrative, the case study results suggested on a direct cost measure, at a particular point in time, the SSHI data governance activities yielded a negative return. However, indirect social and public benefits are rarely quantified, but this paper shows that relatively few “indirect” benefits (current but unmeasured, or measurable but in the future) are necessary to reverse that view, at least from the point of the economy more generally.

手头的研究衡量了埃塞俄比亚支持土壤健康干预 (SSHI) 项目中改善数据治理和访问的价值。我们应用了两种独立但相互关联的模型，一种是定性的，一种是定量的，以创建一个增强传统成本效益分析的新框架。定性分析提供了对特定价值类型及其产生机制的新见解。这些结果支持了一个创新框架的发展，以定量衡量这种感知价值。通过结合定量和定性框架，该研究表明，可以对数据治理和访问的成本和收益进行合理和可信的定量估计。虽然承认这些估计只是说明性的，案例研究结果表明，以直接成本衡量，在特定时间点，SSHI 数据治理活动产生了负回报。然而，间接的社会和公共利益很少被量化，但本文表明，相对较少的“间接”利益（当前但未衡量，或可衡量但在未来）是扭转这种观点所必需的，至少从经济角度来看是这样。一般来说。