Measuring the value of data governance in agricultural investments: A case study

Whittard, Damian; Ritchie, Felix; Rose, Michael; Musker, Ruthie

Abstract

Summary 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.

• Journal Article Type: Article
• Acceptance Date: Jan 4, 2022
• Online Publication Date: Feb 21, 2022
• Publication Date: 2022
• Deposit Date: Jan 18, 2022
• Publicly Available Date: Apr 13, 2022
• Journal: Experimental Agriculture
• Print ISSN: 0014-4797
• Electronic ISSN: 1469-4441
• Publisher: Cambridge University Press (CUP)
• Peer Reviewed: Peer Reviewed
• Volume: 58
• Article Number: e8
• DOI: https://doi.org/10.1017/S0014479721000314
• Public URL: https://uwe-repository.worktribe.com/output/8579269