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…

Social and Behavioural Sciences

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…

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

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…

Whilst the world is opening up, the teaching will continue in a hybrid form next academic year. During the past year, when all of us were bound to our home offices and computer screens, new forms of education had to be developed – some of which proved to be efficient in preparing the students for their…

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…

Science

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.

Science

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.

Humanities

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…

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.

The Technology and Operation Management (TOM) group focuses on the operational challenges of adopting new cutting-edge technologies in areas such as artificial intelligence, precision medicine, and high-tech instrumentation.

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…

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 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…

Paul Hudson, Associate Professor of Physical Geography at Leiden University College, examines human impacts on lowland rivers in his new book.

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 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…

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 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.

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…

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…

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

This article offers a typology for organizational and institutional crisis management that portrays three sorts of crises: a crisis in an organization, a crisis to the organization and a crisis about the organization.

Course

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

Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.

Course

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.

If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.

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?

Training and Exercising in Crisis management and Emergency Control

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

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…

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.

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…