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Frameworks, principles, and accreditation: Making data governance work (2022)
Presentation / Conference
Ritchie, F. (2022, November). Frameworks, principles, and accreditation: Making data governance work. Presented at RSS Data Ethics and Governance – origins, progress and priorities, London

Presentation to the Royal Statistical Society Data Ethics Section, covering the origins and development of the Five Safes, the EDRU approach to problems-solving, principles-based regulation, and how these all need to work together to achieve effectiv... Read More about Frameworks, principles, and accreditation: Making data governance work.

Risk of disclosure when reporting commonly used univariate statistics (2022)
Conference Proceeding
Derrick, B., Green, E., Ritchie, F., & White, P. (2022). Risk of disclosure when reporting commonly used univariate statistics. In Lecture Notes in Computer Science (119-129). https://doi.org/10.1007/978-3-031-13945-1_9

When basic or descriptive summary statistics are reported, it may be possible that the entire sample of observations is inadvertently disclosed, or that members within a sample will be able to work out responses of others. Three sets of univariate su... Read More about Risk of disclosure when reporting commonly used univariate statistics.

10 is the safest number that there's ever been (2022)
Journal Article
Ritchie, F. (2022). 10 is the safest number that there's ever been. Transactions on data privacy, 15(2), 109-140

When checking frequency and magnitude tables for disclosure risk, the cell threshold (the minimum number of observations in each cell) is a crucial parameter. In rules-based environments, this is a hard limit on what can or can't be published. In pri... Read More about 10 is the safest number that there's ever been.

A marriage of convenience: How employers and students working in hospitality view the employment relationship (2022)
Journal Article
Evans, C., Ritchie, C., Drew, H., & Ritchie, F. (2022). A marriage of convenience: How employers and students working in hospitality view the employment relationship. Hospitality and Society, 12(3), 299-318. https://doi.org/10.1386/hosp_00055_1

Since the 1990s, the hospitality industry has been increasingly characterized by temporary and insecure forms of employment, a development, which has coincided with rising numbers of students seeking part-time employment. This provides increased job... Read More about A marriage of convenience: How employers and students working in hospitality view the employment relationship.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference
Derrick, B., Green, E., Ritchie, F., & White, P. (2022, April). Disclosure risks in odds ratios and logistic regression. Paper presented at Scottish Economic Society Annual Conference 2022: Special session 'Protecting confidentiality in social science research outputs', Glasgow

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.

Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation (2022)
Presentation / Conference
Derrick, B., Green, E., Kember, K., Ritchie, F., & White, P. (2022, April). Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation. Paper presented at Scottish Economic Society, Glasgow

Reporting the sample mean, sample standard deviation and sample size could in some cases lead to the unique identification of the underpinning sample. The likelihood of this reveal via direct enumeration of the possible search space decreases with i... Read More about Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation.

Using the ‘five safes’ to structure economic evaluations of data governance (2022)
Working Paper
Ritchie, F., & Whittard, D. Using the ‘five safes’ to structure economic evaluations of data governance

The ‘five safes’ is a popular data governance framework. It is used to design and critique data management strategies across the world, and has also been used as a performance framework to measure the effectiveness of data access operations. We repor... Read More about Using the ‘five safes’ to structure economic evaluations of data governance.

Hacia una pedagogía para la formación y el liderazgo juvenil (2022)
Book Chapter
Mondragon Quintana, J. C. (2022). Hacia una pedagogía para la formación y el liderazgo juvenil. In S. Reith, & C. A. Pérez (Eds.), Vivir La Política Año de los Jóvenes (11-46). Medellín, Colombia: CAEP Colombia - Fundación Konrad Adenauer

Measuring the value of data governance in agricultural investments: A case study (2022)
Journal Article
Whittard, D., Ritchie, F., Rose, M., & Musker, R. (2022). Measuring the value of data governance in agricultural investments: A case study. Experimental Agriculture, 58, Article e8. https://doi.org/10.1017/S0014479721000314

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 crea... Read More about Measuring the value of data governance in agricultural investments: A case study.