All Outputs (126)

Sequential mixed methods research: Non-compliance in apprentice pay with owls (2021)
Presentation / Conference Contribution
Drew, H., & Ritchie, F. (2021, June). Sequential mixed methods research: Non-compliance in apprentice pay with owls. Paper presented at 20th European Conference on Research Methodology for Business and Management Studies, University of Aveiro, Portugal

Within mixed methods literature, the relationship between qualitative and quantitative data collection is ubiquitously presented as sequential. Thus, the most followed approach is for the first stage of data collection to follow the second, or to run... Read More about Sequential mixed methods research: Non-compliance in apprentice pay with owls.

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?.

Financial resilience, income dependence and organisational survival in UK charities (2021)
Journal Article
Green, E., Ritchie, F., Bradley, P., & Parry, G. (2021). Financial resilience, income dependence and organisational survival in UK charities. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 32, 992–1008. https://doi.org/10.1007/s11266-020-00311-9

The financial well-being of the charity sector has important social implications. Numerous studies have analysed whether the concentration of income in a few sources increases financial vulnerability. However, few studies have systematically consider... Read More about Financial resilience, income dependence and organisational survival in UK charities.

Using ASHE to examine trends in low pay: Initial exploration of the data (2020)
Report
Bryson, A., Phan, V., Stokes, L., Ritchie, F., Forth, J., McKenzie, A., & Whittard, D. (in press). Using ASHE to examine trends in low pay: Initial exploration of the data. Bristol: Low Pay Commission

Using the Annual Survey of Hours and Earnings (ASHE) 2004-2019 we report consistent time-series estimates of the percentage of jobs on and around the minimum wage; low paid jobs above the minimum; and ‘high paid’ jobs. In doing so we report on some i... Read More about Using ASHE to examine trends in low pay: Initial exploration of the data.

Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control (2020)
Journal Article
Alves, K., & Ritchie, F. (2020). Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control. Statistical Journal of the IAOS, 36(4), 1281-1293. https://doi.org/10.3233/SJI-200661

Statistical agencies and other government bodies increasingly use secure remote research facilities to provide access to sensitive data for research and analysis by internal staff and third parties. Such facilities depend on human intervention to ens... Read More about Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control.

Frameworks, principles and accreditation in modern data management (2020)
Preprint / Working Paper
Ritchie, F., & Green, E. Frameworks, principles and accreditation in modern data management

The Five Safes framework is increasingly widely used for data governance. Since its conception in 2003, it has influenced data management in many ways, particularly in the public sector. As it has become established, both the advantages and limitatio... Read More about Frameworks, principles and accreditation in modern data management.

Understanding output checking (2020)
Report
Green, E., Ritchie, F., & Smith, J. (2020). Understanding output checking. Luxembourg: European Commission (Eurostat - Methodology Directorate)

This report for Eurostat (Methodology) considers the conceptual and practical issues that need to be addressed in designing and implementing automatic disclosure control checking for statistical research outputs. The report covers - The basic theo... Read More about Understanding output checking.

10 is the safest number that there’s ever been (2019)
Presentation / Conference Contribution
Ritchie, F. (2019, October). 10 is the safest number that there’s ever been. Paper presented at Workshop on statistical data confidentiality 2019, The Hague

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

User-focused threat identification for anonymised microdata (2019)
Journal Article
Ritchie, F., Hafner, H.-P., & Lenz, R. (2019). User-focused threat identification for anonymised microdata. Statistical Journal of the IAOS, 35(4), 703-713. https://doi.org/10.3233/SJI-190506

© 2019 - IOS Press and the authors. When producing anonymised microdata for research, national statistics institutes (NSIs) identify a number of 'risk scenarios' of how intruders might seek to attack a confidential dataset. This approach has been cri... Read More about User-focused threat identification for anonymised microdata.

The five safes of risk-based anonymization (2019)
Journal Article
Arbuckle, L., & Ritchie, F. (2019). The five safes of risk-based anonymization. IEEE Security and Privacy Magazine, 17(5), 84-89. https://doi.org/10.1109/MSEC.2019.2929282

The sharing of data for the purposes of data analysis and research can have many benefits. At the same time, concerns and controversies about data ownership and data privacy elicit significant debate. So how do we utilize data in a way that protects... Read More about The five safes of risk-based anonymization.

Analyzing the disclosure risk of regression coefficients (2019)
Journal Article
Ritchie, F. (2019). Analyzing the disclosure risk of regression coefficients. Transactions on data privacy, 12(2), 145-173

A major growth area in social science research this century has been access to highly sensitive confidential microdata, often via restricted-access remote facilities. These allow researchers highly unlimited access to manipulate the data but with che... Read More about Analyzing the disclosure risk of regression coefficients.

Not just arms and legs: Student working and the local labour market (2019)
Presentation / Conference Contribution
Whittard, D., Ritchie, F., & Drew, H. (2019, July). Not just arms and legs: Student working and the local labour market. Presented at Work, Pensions and Labour Economics Study Group (WPEG) Conference, University of Sheffield

Not just arms and legs: The impact of student working on local labour markets (2019)
Preprint / Working Paper
Whittard, D., Drew, H., & Ritchie, F. Not just arms and legs: The impact of student working on local labour markets

Not just arms and legs: Student working and the local labour market (2019)
Presentation / Conference Contribution
Whittard, D., Ritchie, F., & Drew, H. (2019, April). Not just arms and legs: Student working and the local labour market. Presented at Scottish Economic Society Annual Conference 2019, Perth Concert Hall, Perth, Scotland

Confidentiality and linked data (2018)
Book Chapter
Ritchie, F., & Smith, J. Confidentiality and linked data. In G. Roarson (Ed.), Privacy and Data Confidentiality Methods – a National Statistician’s Quality Review (1-34). Newport: Office for National Statistics

This chapter considers the confidentiality issues around linked data. It notes that the use and availability of secondary (adminstrative or social media) data, allied to powerful processing and machine learning techniques, in theory means that re-ide... Read More about Confidentiality and linked data.

Evidence-based, default-open, risk-managed, user-centred data access (2018)
Presentation / Conference Contribution
Ritchie, F., Hafner, H., Lenz, R., & Welpton, R. (2018, October). Evidence-based, default-open, risk-managed, user-centred data access. Paper presented at Conference of European Statistics Stakeholders, Bamberg

In recent years, there has been an increasing demand from the academic community for more access to confidential data for research purposes, particularly that data collected by government departments. This has happened for three reasons. First, both... Read More about Evidence-based, default-open, risk-managed, user-centred data access.

Re-thinking the indices of multiple deprivation (for England): A review and exploration of alternative/complementary area-based indicator systems (2018)
Report
Smith, I., Green, E., Whittard, D., & Ritchie, F. (2018). Re-thinking the indices of multiple deprivation (for England): A review and exploration of alternative/complementary area-based indicator systems. London: Power to Change

Power to Change was established by the Big Lottery as an organisation whose mission is to fund community businesses and through such investment make an impact on the most disadvantaged places in England. Through setting its mission to target the most... Read More about Re-thinking the indices of multiple deprivation (for England): A review and exploration of alternative/complementary area-based indicator systems.

Spontaneous recognition: An unneccessary control on data access? (2017)
Book Chapter
Ritchie, F. (2017). Spontaneous recognition: An unneccessary control on data access?. In E. Baldacci, G. Benoist, C. Boldsen, M. Galambosne Tiszbergen, J. Gerendas, M. Karlberg, …Z. Vereczkei (Eds.), Selected papers from the 2016 Conference of European Statistics Stakeholders (148-158). Luxembourg: Publications Office of the European Union. https://doi.org/10.2785/091435

Social scientists increasingly expect to have access to detailed source microdata for research purposes. As the level of detail increases, data owners worry about ‘spontaneous recognition’, the likelihood that a microdata user believes that he or she... Read More about Spontaneous recognition: An unneccessary control on data access?.