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.

Language evolution, targeted drugs or archaeological interpretation. Researchers are making increasing use of supercomputers that can rapidly process large quantities of data. This is one reason why the University data centre will be extended and updated. ‘Datamining means we can get a better picture…

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?

Leiden University has access to personal data of both employees and students. This information is processed and stored in a number of ways. The University deals with personal data responsibly and in accordance with the Personal Data Protection Act.

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

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

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.

Do you need help migrating your research data?

In certain cases, people have the right to require the university to delete their personal data, for example if the university no longer needs the information or if someone withdraws their permission to use the information.

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.

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.

How does a human subject respond physiologically during and experiment? Measuring these responses offers valuable data.

Once the research has been completed, the research data must be retained securely for the long term. This means that the integrity, availability and – if required – confidentiality of the data must be guaranteed.

Are you handling personal data just once, for instance when taking the minutes of a meeting or organising an employee outing? You do not need to include this use in the data processing register if you stick to the following conditions.

The General Data Protection Regulation (GDPR) has been in force since 25 May 2018. Whenever you work with personal data, you have to record what happens to this data. The university will support you in working in a privacy-proof way.

Leiden University is investing 4 million euros in a new Data Science research programme. This is a joint initiative of all the faculties, headed by Dean Geert de Snoo at the Faculty of Science. The programme will focus on Leiden scientific data.

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ICT, Research

Data science is used in almost every academic discipline. This presents plenty of new opportunities, but new dilemmas too. Reason enough for the symposium on 5 March: ‘Fairness and Transparency, towards responsible data science.’ Keynote speaker Ricardo Baeza-Yates gives a sneak preview.

Lecture, Seminar