290 search results for “data analyse” in the Staff website
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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 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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Data stewards
Do you have questions about data management? Please contact the data stewards:
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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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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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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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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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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.
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Personal data: privacy and the GDPR
As an employee of Leiden University, you probably work with or come into contact with personal data. The concept of ‘personal data’ is core to the General Data Protection Regulation (GDPR). If you work with personal data, you must be able to explain clearly, comprehensively and in simple language how…
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Bibliometric Data Sources and Indicators 2024
Research
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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OSCoffee: Making data reusable in the social sciences
Lecture
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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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Workshop How to improve your exam (questions) with psychometric data
Didactics, Didactics
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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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Open Science in the Humanities: From Public Discourse to Qualitative Data
Lecture
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ICT and research
ICT plays an important role in scientific research. With the help of ICT it is easier to collect, manage, analyse and share complex research data.
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Data Protection Day: are you keeping personal data safe?
Security
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
linting@fsw.leidenuniv.nl | +31 71 527 4098
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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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Why you should publish negative data
As a bachelor student of Bio-Pharmaceutical Sciences, Femke Vlaswinkel wrote a research proposal she was allowed to carry out in her master’s BPS. Femke subsequently graduated with honors. Her research was published in the journal Scientific Reports, she won an award from the Dutch Pharmacy Society…
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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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Data breach at Leiden University
Organisation, Security
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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
p.m.kroonenberg@fsw.leidenuniv.nl | +31 71 527 2727
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Oliver Tuazon
Faculteit Rechtsgeleerdheid
o.m.tuazon@law.leidenuniv.nl | +31 71 527 8838
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Andreas Häuselmann
Faculteit Rechtsgeleerdheid
a.n.hauselmann@law.leidenuniv.nl | +31 71 527 5200
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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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Laura Zwep
Science
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Gino Bertrand Kpogbezan
Science
g.b.kpogbezan@math.leidenuniv.nl | +31 71 527 7109
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Thijs Bos
Science
j.m.bos@math.leidenuniv.nl | +31 71 527 2727
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Peter Grünwald
Science
pdg@math.leidenuniv.nl | +31 71 527 2727
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Marta Fiocco
Science
m.fiocco@math.leidenuniv.nl | +31 71 527 7144
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Danny Mekic
Faculteit Rechtsgeleerdheid
d.mekic@law.leidenuniv.nl | +31 71 527 2727
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Mathijs Deen
Faculteit der Sociale Wetenschappen
m.l.deen@fsw.leidenuniv.nl | +31 71 527 2727
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Gerrit-Jan Zwenne
Faculteit Rechtsgeleerdheid
g.j.zwenne@law.leidenuniv.nl | +31 71 527 8838
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Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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Johannes Schmidt-Hieber
Science
schmidthieberaj@math.leidenuniv.nl | +31 71 527 2727
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Data breach public groups in SharePoint/Teams
Security
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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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Ralph Rippe
Faculteit der Sociale Wetenschappen
rrippe@fsw.leidenuniv.nl | +31 71 527 3889
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Harold Nefs
Faculteit der Sociale Wetenschappen
h.t.nefs@fsw.leidenuniv.nl | +31 71 527 3992
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Fatma Çapkurt
Faculteit Rechtsgeleerdheid
f.capkurt@law.leidenuniv.nl | +31 71 527 7278
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Sarah Plukaard
Faculteit der Sociale Wetenschappen
s.c.plukaard@fsw.leidenuniv.nl | +31 71 527 7937
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Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727