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.

Training analysts in the management of confidential data (2022)
Working Paper
Green, E., & Ritchie, F. Training analysts in the management of confidential data

With researchers increasingly gaining access to confidentiality data through restricted environments, interest has grown in the training of those researchers to protect confidentiality and to use the secure facility effectively. Researcher training,... Read More about Training analysts in the management of confidential data.

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.

La gestión gubernamental después del COVID-19 (2021)
Other
Mondragon Quintana, J. C. (2021). La gestión gubernamental después del COVID-19. Buenos Aires, Argentina

Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks (2021)
Journal Article
Green, E., Ritchie, F., & Smith, J. (2021). Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks. ESS Statistical Working Papers, 2021 Edition, https://doi.org/10.2785/75954

This paper discusses the issues surrounding the creation of an automatic tool to reduce the burden of output checking in research environments. It describes ACRO (Automatic Checking of Research Outputs), a Stata tool written as a proof-of-concept, an... Read More about Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks.

Statistical disclosure controls for machine learning models (2021)
Conference Proceeding
Krueger, S., Mansouri-Benssassi, E., Ritchie, F., & Smith, J. (2021). Statistical disclosure controls for machine learning models

Artificial Intelligence (AI) models are trained on large datasets. Where the training data is sensitive, the data holders need to consider risks posed by access to the training data and risks posed by the models that are released. The first problem c... Read More about Statistical disclosure controls for machine learning models.

The present and future of confidential microdata access: Post-workshop report (2021)
Presentation / Conference
Green, E., Ritchie, F., Tava, F., Ashford, W., & Ferrer Breda, P. (2021, July). The present and future of confidential microdata access: Post-workshop report. Presented at The Present and Future of Microdata Access

In the summer of 2021, the University of the West of England, in collaboration with UN Economic Commission for Europe, Eurostat, INXEDA and statistical organisations across the world, hosted a workshop to review lessons learnt in microdata access ove... Read More about The present and future of confidential microdata access: Post-workshop report.

The present and future of confidential microdata access [draft] (2021)
Presentation / Conference
Green, E., & Ritchie, F. (2021, July). The present and future of confidential microdata access [draft]. Presented at The Present and Future of Microdata Access

This briefing document was prepared for the DRAGoN conference 'The Present and Future of Microdata Access', 5th-9th July 2021. It provides an introduction to the topics to be covered in the conference.

Measuring the value of improving data governance and access in Gates Foundation programme: A case study of the Supporting Soil Health Interventions in Ethiopia projects (2021)
Journal Article
Whittard, D., Ritchie, F., & Nyengani, J. (2021). Measuring the value of improving data governance and access in Gates Foundation programme: A case study of the Supporting Soil Health Interventions in Ethiopia projects. Gates Open Research, 5, Article 97. https://doi.org/10.21955/gatesopenres.1116786.1

The Centre for Agriculture and Bioscience International (CABI) and the Open Data Institute (ODI) commissioned a team of economists to measure the value of improving data governance and access in the Supporting Soil Health Interventions in Ethiopia (S... Read More about Measuring the value of improving data governance and access in Gates Foundation programme: A case study of the Supporting Soil Health Interventions in Ethiopia projects.

Use of blended learning to teach mathematics to first year economics students (2021)
Presentation / Conference
Haroon, M. (2021, June). Use of blended learning to teach mathematics to first year economics students. Paper presented at UWE Festival of Learning 2021

Traditional Higher Education providers have been increasingly embracing a more blended learning provisions for last couple of years. The rate of adoption has increased significantly following Covid-19 pandemic. Whilst blended learning is easier to ad... Read More about Use of blended learning to teach mathematics to first year economics students.

Process and economic evaluation of the ODI R&D programme: Final report (2021)
Report
Alves, K., Tava, F., Whittard, D., Green, E., Beata Kreft, M., & Ritchie, F. (2021). Process and economic evaluation of the ODI R&D programme: Final report. London: Open Data Institute

The Open Data Institute was funded by Innovate UK to undertake a major programme of Research and Development on "Data Innovation for the UK", which was re-scoped and funded on a yearly basis for a total of 4 years (called, for short, "The R&D program... Read More about Process and economic evaluation of the ODI R&D programme: Final report.

Understanding a pandemic: The power of administrative data (2021)
Book Chapter
Waind, E., Ritchie, F., Bailey, N., Caskie, P., Morrison-Rees, S., Lowe, S., & Webster, N. (2021). Understanding a pandemic: The power of administrative data. In Productivity and the Pandemic. Edward Elgar Publishing

This chapter is taken from the book Productivity and the Pandemic. It suggests how administrative data is essential to understanding what is happening now, and what happpens next.

Microdata access and privacy: What have we learned over twenty years? (2021)
Journal Article
Ritchie, F. (2021). Microdata access and privacy: What have we learned over twenty years?. Journal of Privacy and Confidentiality, 11(1), 1-8. https://doi.org/10.29012/jpc.766

Felix Ritchie reflects on lessons learned in twenty years of microdata access in the UK and Canada. Based on his contribution to the panel on "Privacy And Microdata Access: Two Worlds Colliding?" at the October 2020 Canadian Research Data Centre Netw... Read More about Microdata access and privacy: What have we learned over twenty years?.

Real business cycle facts of Maldivian economy (2021)
Working Paper
Haroon, M. Real business cycle facts of Maldivian economy

This paper documents real business cycle for the Maldivian economy. The dataset used in this paper is constructed from old archives to achieve a long enough time series. This is the first study which documents the business cycle regularities for the... Read More about Real business cycle facts of Maldivian economy.