The European Football Championship for Women, in the Netherlands this summer, is the background for a large and innovative data research project. The Dutch football union is working together with Leiden University and Sportinnovator. The research is expected to uncover links that have thus far remained…

The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing.

Data reuse and big data: a taxonomy for personal data reuse.

Data Sets Department of Economics

Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters

On April 1, Marco Spruit, Professor of Advanced Data Science in Population Health at the Leiden University Medical Center (LUMC) and the Leiden Institute of Advanced Computer Science (LIACS), will deliver his inaugural lecture ‘Translational Data Science in Population Health’. Spruit will use the opportunity…

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

United Nations Global Pulse, an initiative of the UN Secretary-General on big data and AI, recently launched the Data Fellows program. Kevin Duisters, PhD in Statistics at the Mathematical Institute, was selected to take part in its first cohort of eight international students.

Biologists today have to be able to work with big data. Data analysis skills should be taught from the start of the degree programme, or - even better - in secondary school. This is the message of Vera van Noort, new Professor of Computational Biology. Inaugural lecture 22 January.

The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

Computers are increasingly able to accomplish tasks that are difficult for human experts, such as diagnosing diseases or detecting credit card fraud. While the earliest examples of computational thinking can be traced back to the 13th century, according to Holger Hoos, Leiden Professor of Machine Learning,…

On 22 August, the GO-FAIR IN Africa was launched: an implementation network under the GO FAIR efforts to train, build and change the next generation of the Internet of FAIR Data and Services (IFDS).

By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.

What consequences does Brexit have for the protection of personal data?

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

Promotores: J.C. van Houwelingen, S.A. van de Geer

Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.

A cross-cut analysis of the ties between university research and fossil industries.

The Digitalisation, Data and Governance specialisation of the Bachelor of Public Administration focuses on current digitalisation issues in public administration. How does the government handle citizens' data? Is the government doing enough to restrict the use of your data by tech companies? How do…

The combination of data science and sports is a hot topic. In a talk during the opening of the Academic Year at the Faculty of Science, Professor Joost Kok explained what data analytics can teach us about sports.

Combining results from bibliometric analyses, a global sample of researcher opinions and case-study interviews, a new report reveals that although the benefits of open research data are well known, in practice, confusion remains within the researcher community around when and how to share research…

Data science offers exciting new instruments for governments to reach out to citizens, for example by using data-driven information channels, providing real-time simulations, or personalizing services based on citizen data. At the same time, the possibilities and use of data science methods can have…

On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.

At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

Overview of CML software and data

Before your student residence permit can be issued, you must have your biometric data recorded.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…

This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.

Collecting data in sports increased in importance the last few years.

Promotor: J.N. Kok, Co-promotor: W.A. Kosters

The Data Management Protocol is an elaboration of the Leiden University Data Management Regulations for research that takes place within the Leiden Institute of History. It is intended for researchers who are starting a research project and / or researchers who are going to submit a proposal to external…

Alzheimer’s disease and cancer are two examples of diseases that are related to malfunctioning cellular patterns. The examination of cell tissue, however, takes a lot of time and generates a lot of data. To make the analysis of data easier, Antonios Somarakis of the Data Science Research Programme (DSRP)…

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The Faculty of Science

This page provides an overview of our data management practices.

Data sets available for scientific/research purposes