424 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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Responsible and transparent data science
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.
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Leiden University launches Data Science research programme
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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Gineke Wiggers
Faculteit Rechtsgeleerdheid
g.wiggers@law.leidenuniv.nl | +31 71 527 8838
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Marta Fiocco
Science
m.fiocco@math.leidenuniv.nl | +31 71 527 7119
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Rianne de Heide
Science
r.de.heide@math.leidenuniv.nl | +31 71 527 4844
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Botond Szabo
Science
b.t.szabo@math.leidenuniv.nl | +31 71 527 2727
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Laura Zwep
Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 3529
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Amine Hadji
Science
m.a.hadji@math.leidenuniv.nl | +31 71 527 5863
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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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Magnus Münch
Science
m.m.munch@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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Kevin Duisters
Science
k.l.w.duisters@math.leidenuniv.nl | +31 71 527 2727
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Gregory Chen
Science
x.chen@math.leidenuniv.nl | +31 71 527 2727
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Thijs Bos
Science
j.m.bos@math.leidenuniv.nl | +31 71 527 7047
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Stéphanie van der Pas
Science
svdpas@math.leidenuniv.nl | +31 71 527 7134
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Johannes Schmidt-Hieber
Science
schmidthieberaj@math.leidenuniv.nl | +31 71 527 2727
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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'Data science enables us to develop new tools'
PhD students Alex Brandsen and Wouter Verschoof-van der Vaart are both doing a project within the university’s Data Science research programme. The are introducing terms like ‘text mining’ and ‘advanced machine learning’ into archaeology. ‘These techniques will make archaeology more efficient and ch…
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Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 7330
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Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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Antonios Somarakis
a.somarakis@liacs.leidenuniv.nl | +31 71 527 4799
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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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Richard Gill
Science
gill@math.leidenuniv.nl | +31 71 527 7137
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Jacqueline 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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Aad van der Vaart
Science
avdvaart@math.leidenuniv.nl | +31 71 527 7130
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Aske Plaat
Science
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Wouter Verschoof
Faculteit Archeologie
w.b.verschoof@arch.leidenuniv.nl | +31 71 527 5277
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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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Personal data
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.
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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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AI & Data Science @ Archaeology
Lecture, Seminar
- Data processing
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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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Migrating research data
Do you need help migrating your research data?
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Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Deleting personal 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.
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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.
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Data analysis software
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.
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B. Mons
Faculteit Geneeskunde
b.mons@lumc.nl | +31 71 526 9111
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Physiological data acquisition
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.
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Symposium Data Science Research Programme
Conference
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Collecting physiological data
How does a human subject respond physiologically during and experiment? Measuring these responses offers valuable data.
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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.
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One-off data processing
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.