"This paper outlines the methodology and process behind the quantitative data collection primarily focused on the development of a survey module on unpaid labour within paid jobs. This module was created as part of the ERC Advanced Grant ResPecTMe, led by Principal Investigator Valeria Pulignano. The survey builds upon an extensive qualitative study, which involved work-life narrative biographies and working diaries from several European countries. The survey module quantifies this precarity in the form of unpaid labour by measuring the time and material resources that individuals invest in tasks that, while part of their job responsibilities, often go unpaid and/or underpaid. Its primary utility lies in disentangling these various forms and aspects of unpaid labour. To identify the predictors and consequences of unpaid labour as well as its relationship with other working conditions, the survey also includes various socio-demographic characteristics and working conditions questions that have been tested and used in international surveys such as European Working conditions Survey and European Social Survey. The paper provides a detailed account of how the survey module was developed and implemented across four European countries - the UK, France, Sweden, and the Netherlands - through nationally representative panel surveys, such as LORE (Sweden), ELIPSS (France), and LISS (the Netherlands), following a pilot conducted in the UK through Kantar. It also covers the survey's design, data collection process, and the specific items and codes used in each country to ensure transparency and to be used as a guide for researchers who wish to use this data."

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