Research

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Data Centre

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 Centre 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.

Staff

KRUTEN Thierry
Data Centre
Head of Data Centre
thierry.kruten@liser.lu
(+352) 58 58 55 - 960
BIENVENUE Jean-Yves
Data Centre
jean-yves.bienvenue@liser.lu
(+352) 58 58 55 - 701
BREULHEID Sylviane
Data Centre
sylviane.breulheid@liser.lu
(+352) 58 58 55 - 534
DARUD Bérengère
Data Centre
berengere.darud@liser.lu
(+352) 58 58 55 - 303
DI BLASI Maxime
Data Centre
maxime.diblasi@liser.lu
(+352) 58 58 55 - 504
EL MASLOHI Anasse
Data Centre
anasse.elmaslohi@liser.lu
(+352) 58 58 55 - 319
GUADARRAMA SANZ Maria
Data Centre
maria.guadarramasanz@liser.lu
(+352) 58 58 55 - 605
GUASTALLI Eric
Data Centre
eric.guastalli@liser.lu
(+352) 58 58 55 - 533
MAGNONI Nada
Data Centre
nada.magnoni@liser.lu
(+352) 58 58 55 - 513
MARTINS Carla
Data Centre
carla.martins@liser.lu
(+352) 58 58 55 - 223
MÜNCHEN Marie-Josée
Data Centre
marie-josee.muenchen@liser.lu
(+352) 58 58 55 - 604
PLAVSIC Nermin
Data Centre
nermin.plavsic@liser.lu
(+352) 58 58 55 - 324
SCHNEIDER Marc
Data Centre
marc.schneider@liser.lu
(+352) 58 58 55 - 617
VANNI Laureen
Data Centre
laureen.vanni@liser.lu
(+352) 58 58 55 - 414
VILLERET Anne
Data Centre
anne.villeret@liser.lu
(+352) 58 58 55 - 570

Ongoing surveys

The Data Centre at LISER aims to collect data for scientific studies in order to make them available to researchers, political actors and other partners in society.

To find out which surveys are being conducted, please consult the list below.

If you have any questions, please write to : thierry.kruten@liser.lu

Closed surveys

23 Nov 20 - 31 Mar 21
Une vaste enquête en ligne auprès de 10.000 ménages représentatifs de la Région Sud concernant la demande des consommateurs en produits alimentaires locaux. Cette enquête répond à la volonté des autorités communales et gouvernementales de davantage encourager la consommation des produits locaux et le développement des circuits courts.
Sponsor(s) PROSUD
Mode of data collection CAWI (Computer Assisted Web Interview)
15 Jul 20 - 31 Dec 20
The project EU-SILC (European Union Statistics on Income and Living Conditions) 2020 is the main source for European statistics on income, social inclusion and living conditions which cover objective and subjective aspects of these themes in both monetary and non-monetary terms for both households and individuals. They are used to monitor the Europe 2020 strategy in particular through its poverty reduction headline target.
Sponsor(s) STATEC
Mode of data collection CATI (Computer Assisted Telephone Interview)
20 Nov 20 - 24 Dec 20
Les débats publics actuels relatifs à l’intelligence artificielle (IA) soulignent autant d’opportunités majeures que nombre de défis, dont certains ont été abordés dans la vision stratégique en matière d’intelligence artificielle, présentée par le Gouvernement en mai 2019. Le processus de la digitalisation et le déploiement de l’IA dans la vie quotidienne n’en sont qu’à leurs balbutiements. C’est la raison pour laquelle le gouvernement consulte, par la présente, l’avis du public afin d’appréhender où l’IA est perçue soit comme utile, soit comme un risque à combler.
Sponsor(s) Ministère de la Digitalisation
Mode of data collection CAWI (Computer Assisted Web Interview)