Organization profile

Profile Information

LISER has traditionally had a predominant position in Luxembourg with respect to the face-to face survey component. Its portfolio includes both administrative surveys for Luxembourgish and EU institutions as well as surveys used for research by internal researchers and external research collaborators.

Today, the Data Centre aims to collect data for scientific studies in order to make them available to researchers, political actors and other partners in society. Thanks to its expertise in survey methodologies and statistics, the Data Centre is a unique actor in Luxembourg for researchers and decision-makers in the development of research projects and actions on the field.

As a research infrastructure for data collection and archiving of social science data, the objectives of the centre are to:

  • Support LISER researchers as well as the social sciences research community, both locally and internationally, through its unique data collection capability. By bringing operational and scientific expertise based on state-of-the-art, and innovative methods and technologies, the Data Center contributes to the production of high-quality research and effective solutions to major challenges facing society.
  • Offer a referenced and trusted platform with tools and services that enables both data producers and data users to easily share, find and access reusable and interoperable data. This is turn addresses the increasing needs of open science while being compliant with security, integrity and privacy of information at stake.

Ongoing surveys include the Household, Finance and Consumption Survey (HFCS), The Household Finance and Consumption Survey – Cross-Border Workers (HFCS-XB) and the European Union Statistics on Income, SHARE Wave 8 and Living Conditions (EU-SILC 2019).

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

Research Output

Dissemination of the survey methodology from a practical point of view

Guadarrama, M. & Plavsic, N., 8 Jul 2020, Esch-sur-Alzette: LISER, 24 p. (Working papers; no. 2020-09).

Research output: Working paper

Open Access
File
Open Access

Small area estimation methods under cut-off sampling

Guadarrama, M., Molina Peralta, I. & Tillé, Y., 30 Jun 2020, In : Survey Methodology. 46, 1, p. 51-75 27 p.

Research output: Contribution to journalArticle

Open Access