Universities, companies, organisations and societies are increasingly facing enormous quantities of data. It is a great challenge to transform these Big Data into knowledge, which is why Leiden University has launched a University-wide Data Science Research Programme.

From 14 to 29 PhD candidates, seven actively involved faculties and, above all, lots of innovative interdisciplinary research, all with data science as the common denominator. The university’s Data Science Research Programme (DSO) has proven so successful that after five years on a start-up grant it…

Only the fittest cyclists stand a chance of taking yellow in the brutal Tour de France. Team Jumbo-Visma is working with data scientists from Leiden. They have analysed the stages and performance of Jumbo-Visma’s riders in previous Grand Tours. And they are researching how to determine the fitness level…

Computer scientist Matthijs van Leeuwen is one of four science faculty members who obtained the Senior Qualification in Education in 2021. What was that like and what drives him? ‘In my own education I would have liked to see more attention paid to the responsibility that machine learning and data mining…

Some children start life with a disadvantage. Sometimes even before they are born. A new research project involving Professor Wessel Kraaij of Leiden University investigates how data science can help give these children a good start in life.

Research data must be securely preserved, during but also after your research. Read about data management, data retention and open science.

Do you have questions about data management? Please contact the data stewards:

Just like the professional riders from the Jumbo-Visma team, amateur cyclists will soon be able to analyse and improve their performance. Leiden data scientists working with the cycling team are making their smart data model available so that every serious cyclist can keep track of their fitness.

Conference

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…

As a university employee, you probably work with personal data. That is not just names and telephone numbers – it can also include things like cookies. How can you make sure you are working in a privacy-proof way?

Data management can be defined as the creation, storage, maintenance, disclosure, archiving and sustainable preservation of research data.

Your options for data storage may vary depending on factors such as size and sensitivity of the data or collaboration with partners outside the university. We are all responsible for data protection. To keep (personal) data as secure as possible, the university has established an information security…

When structured properly, the data are easier to manipulate, analyze and visualize.

Collecting personal and sensitive data is not as common an issue in archaeological research as in some other fields such as sociology and political sciences which is often the reason why archaeologists might not be aware that they are handling those types of data.

Any loss of control over stored personal data constitutes a potential data leak. In most cases this concerns stolen (or lost) digital files, but a stolen (or mislaid) printed list containing personal data also represents a data leak. It is important that you report any data leak.

If you bring in a (new) person who will be processing personal data for you, this person is not allowed to use this information for his or her own purposes. You need to formalise this in a data processing agreement. The university will usually have an agreement in place.

A data processing register is a record of which personal data you process and who you share this data with. If you collect personal data for your research, you must record this in the data processing register.

If your research project involves collecting private or otherwise sensitive data, you must ensure adequate data protection measures are taken. Research must be conducted in accordance with the General Data Protection Regulation (GDPR). In terms of patient data, for instance, when used for research carried…

Within LRS, the implementation of the data management programme focuses on new facilities, support and tools for managing and sharing research data. The aim is to facilitate data management for institutes and researchers, while also enabling them to fulfil the requirements in the areas of integrity,…

Individuals have the right to instruct the university to delete their personal data in a number of cases. For instance, if the university no longer needs the data, or if the person withdraws consent previously given.

Contemporary data management practices rest on the four principles: findability, accessibility, interoperability, and reusability.

Workshop

Leiden Learning & Innovation Centre

As a standard, your workplace comes equipped with a limited amount of disk space. We offer a number of options for extending your disk space. In addition, ISSC can help you recover lost files.

Data analysis is the process of converting raw data into information that can be used to answer research questions. To help you interpret your raw data SOLO Research and Lab Support supports different types of data analysis software.

Handling student data is a necessary part of your work as teacher or invigilator.

Firstly, Data Management Plan (DMP) is after all a plan, so you must carry it out!

How does a human subject respond physiologically during an experiment? Measuring these responses offers valuable data. Heart rate, brain activity, skin response and eye moment can al be measured using various types of equipment.