1,926 search results for “data science research programme” 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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Harold Nefs
Faculteit der Sociale Wetenschappen
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Ralph Rippe
Faculteit der Sociale Wetenschappen
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Sarah Plukaard
Faculteit der Sociale Wetenschappen
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Laura Zwep
Science
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Peter Grünwald
Science
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Marta Fiocco
Science
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Gino Bertrand Kpogbezan
Science
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Kevin Duisters
Science
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Jelle Goeman
Faculteit Geneeskunde
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Thijs Bos
Science
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Johannes Schmidt-Hieber
Science
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Wessel Kraaij
Science
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OSCoffee: Making data reusable in the social sciences
Lecture
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Academic data science: Transdisciplinary and extradisciplinary visions
CWTS Seminar
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Leonardo Lenoci
Science
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Data & Drinks: Data Archiving
Hands-on instruction
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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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Wouter van Loon
Faculteit der Sociale Wetenschappen
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Anna van 't Veer
Faculteit der Sociale Wetenschappen
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Mathijs Deen
Faculteit der Sociale Wetenschappen
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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…
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Data Carpentry with R for Social Sciences and Humanities
Workshop
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Arjen de Vetten
ICLON
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Pseudonomizing Data
Lecture
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Frank Takes
Science
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Julian Karch
Faculteit der Sociale Wetenschappen
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
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Graduate School FGGA: Research data management course
Didactics, Career development
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Richard Gill
Science
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Max van Haastrecht
Science
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Jacq Meulman
Science
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Barend Mons
Faculteit Geneeskunde
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Rob Tijdeman
Science
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Wouter Verschoof-van der Vaart
Faculteit Archeologie
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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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Paula van den Berg
Science
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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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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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Margaret Gold
Faculteit der Sociale Wetenschappen
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Harmen van der Veer
Faculteit der Sociale Wetenschappen
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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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LIFES: From Reusable Data to New Treatments and Faster Diagnoses
Early diagnosis, new treatments, and personalised care: all of these are possible if we can better unlock the wealth of information hidden in health data. Unfortunately, this data is often poorly organised, difficult to access, and not interoperable. The new international Leiden Institute for FAIR and…