1,137 search results for “data science” in the Staff website
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Data Science Research Programme
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.
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Peter Grünwald
Science
pdg@math.leidenuniv.nl | +31 71 527 7047
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Gino Bertrand Kpogbezan
Science
g.b.kpogbezan@math.leidenuniv.nl | +31 71 527 7109
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Kevin Duisters
Science
k.l.w.duisters@math.leidenuniv.nl | +31 71 527 2727
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Jelle Goeman
Faculteit Geneeskunde
j.j.goeman@lumc.nl | +31 71 526 9700
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Thijs Bos
Science
j.m.bos@math.leidenuniv.nl | +31 71 527 7047
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Laura Zwep
Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Marta Fiocco
Science
m.fiocco@math.leidenuniv.nl | +31 71 527 7119
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Johannes Schmidt-Hieber
Science
schmidthieberaj@math.leidenuniv.nl | +31 71 527 2727
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‘Data science has crept into the faculties’ DNA’
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…
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Using data science to promote a healthy life style
Movement behaviours, such as physical activity, sleep, and the amount of time we sit each day, impact our health. Recently, more researchers are looking at the influence of these behaviours combined, but this is a challenging task. For example, it is difficult to monitor in what way movement behaviours…
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Growing super legs for the Tour de France with the aid of Leiden data science
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…
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Matthijs van Leeuwen: 'I want to teach students responsible data science'
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…
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Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
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Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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A good start for every child, and how data science can help
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.
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Data storage
Research data must be securely preserved, during but also after your research. Read about data management, data retention and open science.
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Data stewards
Do you have questions about data management? Please contact the data stewards:
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Richard Gill
Science
gill@math.leidenuniv.nl | +31 71 527 7137
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Max van Haastrecht
Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | +31 71 527 4799
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Jacq Meulman
Science
j.j.meulman@math.leidenuniv.nl | +31 71 527 2727
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Rob Tijdeman
Science
tijdeman@math.leidenuniv.nl | +31 71 527 4831
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Cycling like a Jumbo-Visma pro with the Leiden data model
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.
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Women in Data Science (WiDS)
Conference
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Wouter Verschoof-van der Vaart
Faculteit Archeologie
w.b.verschoof@arch.leidenuniv.nl | +31 71 527 NVT
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Data management, privacy and data protection
As a PhD candidate, you work with data. To keep (personal) data as secure as possible, the university has established an information security policy.
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Personal data
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?
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Data management
Data management can be defined as the creation, storage, maintenance, disclosure, archiving and sustainable preservation of research data.
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Data storage
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…
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Structuring data
When structured properly, the data are easier to manipulate, analyze and visualize.
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From basic research to healthcare tools
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…
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Personal and sensitive data
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.
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Antoine Coudard
Science
a.coudard@cml.leidenuniv.nl | +31 71 527 2727
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Suzanne Marselis
Science
s.m.marselis@cml.leidenuniv.nl | +31 71 527 5615
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Privacy and data breaches
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.
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Data processing agreement
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.
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Data processing register
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.
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Research using personal data
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…
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Deleting personal data
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.
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Privacy and data protection
We are all responsible for data protection. To keep (personal) data as secure as possible, the university has established an information security policy.
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Make your data FAIR
Contemporary data management practices rest on the four principles: findability, accessibility, interoperability, and reusability.
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Scientometrics Using Open Data
Research
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Storage and data recovery
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. You can also securely store your files in the cloud via OneDrive and Teams. Whichever storage you use, be aware…
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Sharing student data
Handling student data is a necessary part of your work as teacher or invigilator.
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Data Management Plan
Firstly, Data Management Plan (DMP) is after all a plan, so you must carry it out!
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Collecting physiological data
FSW researchers use equipment to measure heart-, brain- and muscle-responses. For some types of research they collect blood or saliva samples.
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Data Reuse Day
Conference
- General Data Protection Regulation
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Long-term data retention
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.