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The project
General description
Surveys
Seven major surveys will be carried out during the lifespan of this project. Four of these are national surveys and the remaining three are European surveys. In addition to these surveys, LifeObs will facilitate the use of other data, such as the EDP (Échantillon démographique permanent / Permanent demographic sample) and TCM (Tronc commun des ménages / Common household questionnaire).
- National surveys
  4 french surveys
- European surveys
  3 european surveys
- Others data : TCM et EDP
  The LifeObs project will promote and facilitate the re-use of other databases, such as the EDP (Échantillon démographique permanent / Permanent demographic sample) and TCM (Tronc commun des ménages / Common household questionnaire).
  - TCM (tronc commun des ménages) Common household questionnaire
  - EDP (échantillon démographique permanent) Permanent demographic sample
Methods
The eight surveys of the LifeObs project will be coupled with methodological innovations regarding the preparation of longitudinal surveys, multi-mode data collection, the use of new software, and the enrichment of surveys via matching with various administrative data sources.
- Survey methodology
- Data crossings
Data
LifeObs aims to widely disseminate survey data and train users in their use.
- Training
- Data access
Results
The first publications will be released in 2023. In the meantime, please consult the "Workshops and conferences" page.
- Publication
- Workshops and conferences
  Events, conferences, round tables, SHS days, ....
- Guide and chart
newsletter

Partners

As part of this project, Ined, Insee, the University of Paris Dauphine PSL[1] , TGIR Progedo, the University of Strasbourg, and the University of Bordeaux are working jointly on life history research and exchanging their diverse skills and expertise. Through this collaboration, effective and innovative practices for handling and matching data will be rolled out; the goal being to have widespread dissemination, in the spirit of open science, that will be supported by training activities that empower the scientific community to effortlessly use and exploit the data.[2]

Partners’ website

Université de Strasbourg-MISHA

Université de Bordeaux - MSH