643 search results for “data analysis” in the Staff website
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Multilevel and Longitudinal Data Analysis (basic)
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Harold Nefs
Faculteit der Sociale Wetenschappen
h.t.nefs@fsw.leidenuniv.nl | +31 71 527 3992
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Sarah Plukaard
Faculteit der Sociale Wetenschappen
s.c.plukaard@fsw.leidenuniv.nl | +31 71 527 7937
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Ralph Rippe
Faculteit der Sociale Wetenschappen
rrippe@fsw.leidenuniv.nl | +31 71 527 3889
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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
p.m.kroonenberg@fsw.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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Data analysis of dark web forums in the fight against child sexual abuse
By far the majority of users of child sexual abuse networks (or child porn forums as they are sometimes called) on the dark web do not actively communicate there but download illegal material, therefore committing a criminal offence. But they often stay under the police and judiciary’s radar. PhD candidate…
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Mirko Forastiere
Science
m.forastiere@cml.leidenuniv.nl | +31 71 527 2727
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Linda Breeman
Faculteit der Sociale Wetenschappen
l.d.breeman@fsw.leidenuniv.nl | +31 71 527 2727
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Guilherme D'Andrea Curra
Faculteit Archeologie
g.dandrea.curra@arch.leidenuniv.nl | 071 5272727
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
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Structuring data
When structured properly, the data are easier to manipulate, analyze and visualize.
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Joost van Ginkel
Faculteit der Sociale Wetenschappen
jginkel@fsw.leidenuniv.nl | +31 71 527 3620
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Data analysis with Python
Workshop
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Bastienne Vriesendorp
Science
b.vriesendorp@biology.leidenuniv.nl | +31 71 527 2727
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Multilevel and Longitudinal Data Analysis
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Multilevel and Longitudinal Data Analysis (Advanced)
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
linting@fsw.leidenuniv.nl | +31 71 527 4098
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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
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Mark Roelofsen
Faculty Governance and Global Affairs
m.roelofsen@fgga.leidenuniv.nl | +31 70 800 9589
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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 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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Antoine Coudard
Science
a.coudard@cml.leidenuniv.nl | 071 5272727
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Reusing data: Bridging the distance between data consumers and producers
Workshop
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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 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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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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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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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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Data Management for Archaeologists
Course, Workshop
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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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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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Research Data Management in Archaeology
Doing research in archaeology is more than just gathering data and publishing a paper. Nowadays, there is a growing trend in producing well-defined and responsible data management plans. They help to navigate the process and result in good data management practices which in return benefit the researchers…
- General Data Protection Regulation
- Research Data Management
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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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Marinko Bobic
Faculty Governance and Global Affairs
m.bobic@fgga.leidenuniv.nl | +31 70 800 9144
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Maarten Kampert
Faculteit der Sociale Wetenschappen
m.m.d.kampert@fsw.leidenuniv.nl | +31 71 527 2727
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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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Laura Zwep
Science
l.b.zwep@lacdr.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