LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…

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…

The department of CADS adheres to the Leiden University Research Data Management Regulations and to the international principles for FAIR data.

It is the end of your archaeological research project, and you may be wondering where to deposit your data. After the excavation, all of the finds are drawn, scanned, digitised, and the database is completed. Perhaps you have also accumulated a lot of data through further scientific analysis of the…

Promotor: J.N. Kok, Co-promotor: F.J. Verbeek

The world is becoming increasingly digitised, and the information one has easy access to is often rather overwhelming. In particular, the accumulative nature of the archaeological practice has resulted in huge quantities of data being produced. But how to prevent these from becoming dust-collectors…

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.

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.

Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.

Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…

Lecture, Workshop

Nowadays data-driven working is very important within Rijkswaterstaat. A Variety of employees is involved in analyzing the data collected on daily basis by Rijkswaterstaat. The goal is to ensure that we construct an infrastructure in the Netherlands which will be safe, accessible and liveable in the…

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…

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

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

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

Data Sets Department of Economics

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

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…

Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.

The Digital Archaeology chairgroup is currently still involved in a project related to EDNA project (national data archive for archaeology). Although this time the focus on innovative research in Computer applications is much stronger. All the archaeological projects in the e-archive are documented…

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics. The network is embedded in the Leiden Centre of…

The management teams lead the department and consist of a General Manager, an Outreach Manager, an Instrumentation Manager, an ICT/Housing Manager, a HR/Finances Manager and an Education Manager.

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

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

Promotor: Prof.dr. B.R. Katzy, Prof.dr. H.J. van den Herik, Prof.dr. G.H. Baltes (University of Applied Sciences Konstanz)

The IBL management team consists of the Director of the Institute, the Director of Education, the Coordinator Microbial Sciences, the Coordinator Plant Sciences, the Coordinator Animal Sciences, the Institute Manager and the Management Assistant.

The current data centre in the Snellius building at the Niels Bohrweg is in need of an upgrade. A bigger and more modern data centre is necessary, which can meet the current requirements. The Real Estate directorate of Leiden University started the development of a new data centre on the same location…

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.

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

Course

Course

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

Training and Exercising in Crisis management and Emergency Control

Peak Performance: Collaborative Crisis Management Before and During International Summits. This comparative case study probes into conditions for collaborative governance in the security organisation of international summits.

Although science and education have top priority, exploratory projects with companies, governments and NGOs generate ample opportunities in terms of societal challenges, science strategy, valorisation and research collaboration. In the LIACS Applied Data Science Lab, our master's students and graduates…

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.

The coronacrisis is emerging as the ultimate test for political leaders. How do national political leaders get ahead or behind ‘the curve’ of fast-changing dynamics. Martin Lodge (London School of Economics and Political Science) and Arjen Boin (Leiden University Institute of Political Science) look…

In the Biomedical Sciences Management specialisation you gain knowledge and skills in the area of management, business and entrepreneurship with focus on science- and research driven companies. You will combine research in biomedical sciences with different aspects of business studies and learn to build…

Today's health care system faces many challenges. The new interdisciplinary two years master PHM will train you to contribute to a more integrated health care system.

Training and Exercising in Crisis management and Emergency Control

The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.

Before your residence permit can be issued, the Dutch immigration department (IND) needs to record your biometric data. Schedule your biometric data appointment as early as possible.

Leiden University consists of seven faculties, each managed by a dean.

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.