All Outputs (3)

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.

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.

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?.