Projects per year
Organisation profile
Organisation profile
LISER's Information Systems (IS) platform is a crucial component of the institute's research capabilities. Its primary goal is to establish a sustainable, innovative, and scalable data and IT infrastructure. By combining various technologies, skills, and standards, the platform aims to support and enhance research activities at LISER. The IS operates based on a privacy-by-design approach, which means that privacy considerations are integrated into the design and development of the system from the outset. This approach ensures that privacy is not an afterthought but a fundamental aspect of the platform's operations. By leveraging data about society, the IS plays a crucial role in informing decision-making processes within LISER and beyond.
LISER collects data for scientific studies in order to make them available to researchers, political actors, and other partners in society. Thanks to the long-lasting expertise of the IS team in survey methodologies and statistics, LISER has a unique infrastructure in Luxembourg for researchers and decision-makers. IS brings operational and scientific expertise based on state-of-the-art and innovative methods and technologies, therefore contributes to the production of high-quality research and effective solutions to major challenges facing society.
IS offers accredited and trusted tools and services that enable both data producers and data users to easily share, find, and access reusable and interoperable data. This, in turn, addresses the increasing needs of open science while being compliant with security, integrity, and privacy of information at stake.
IS services are segmented into five families of services, supported by a robust technical infrastructure and support:
- Data planning services to help researchers to manage and plan data treatments throughout their research projects;
- Data management and analysis services to provide tools and services to clean, collect, process, analyse and visualise their research data;
- Data sharing services to enable researchers to share their data securely and in compliance with relevant ethical and legal requirements both internal and external parties;
- Data curation and preservation services to ensure the data long-term preservation by helping researchers to curate, document and format data so that it can be used over time, even with new technologies as they become available;
- Data storage and discovery services to make research data findable, accessible and retrievable while being stored in a secure, reliable and scalable archive.
LISER Safe Room, a facility to access confidential administrative data securely
Providing simple and secure access to a wide range of relevant research data is one of the main missions of LISER's Information Systems.
IS recognise the importance of facilitating remote access to data in the successful achievement of research goals. Consequently, the wider research community can benefit from the public infrastructure of a “safe room”.
The "safe room" is a secure and controlled office set up to allow researchers to remotely access sensitive data while ensuring that the data remains protected and confidential. This concept is often implemented in research institutions, government agencies, or organisations that handle highly sensitive information.
More on how to access this infrastructure please follow the link to Safe Room.
Collaborations and top research areas from the last five years
Profiles
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LUXTALENT: Local, European and Global Talents for Luxembourg's Economy
Machado, J. (PI), Guastalli, E. (CoI), Hauret, L. (CoI), Martin, L. (CoI) & Verheyden, B. (CoI)
7/03/25 → 31/12/26
Project: Research
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MAMBHA: Mapping real-life mobility and healthy aging: Longitudinal cohorts in Switzerland and Luxembourg
Gerber, P. (PI), Perchoux, C. (CoI), Klein, S. (CoI), Villeret, A. (CoI), Breulheid, S. (CoI), Röcke, C. (Partner PI) & Martin, M. (CoI)
1/09/24 → 31/12/28
Project: Research
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OSVdL: Observatoire Social de la Ville de Luxembourg
Durand, F. (PI), Peluso, E. (CoPI), Feltgen, V. (CoI), Genevois, A.-S. (CoI), Leduc, K. (CoI), Lorentz, N. (CoI), Magnoni, N. (CoI), Pacht, L. (CoI), Quaresma Brant Chaves, T. (CoI) & Vanni, L. (CoI)
1/04/24 → 31/12/29
Project: Research
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Comparison of Approaches for Variance Estimation with Application to a Survey on Discrimination
Guadarrama Sanz, M., Bienvenue, J.-Y. & Chauvet, G., 24 Feb 2025, (E-pub ahead of print) In: Journal of Official Statistics. 41, 1, p. 202-237 35 p.Research output: Contribution to journal › Article › peer-review
Open Access -
EUROMOD Country Report : Luxembourg (LU) 2020-2023
Islam, N., Genevois, A.-S. & El Maslohi, A., Jan 2024, Brussels: European Commission. 99 p. (Euromod Country Report; vol. Model 16.0+)Research output: Book/Report › Commissioned report
Open Access -
Optimal Predictors of General Small Area Parameters Under an Informative Sample Design Using Parametric Sample Distribution Models
Cho, Y., Guadarrama Sanz, M., Molina, I., Eideh, A. & Berg, E., 28 Mar 2024, In: Journal of Survey Statistics and Methodology. 34 p., smae007.Research output: Contribution to journal › Article › peer-review