214 search results for “data technologies” in the Staff website
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Danny MekicFaculteit Rechtsgeleerdheid
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Jenneke EversFaculteit Rechtsgeleerdheid
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Els KindtFaculteit Rechtsgeleerdheid
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
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Application of technology
Application of technology is one of the ambitions of our vision on teaching and learning (Learning@LeidenUniversity).
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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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Bram KlievinkFaculty Governance and Global Affairs
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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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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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Brenda Miranda XicotencatlScience
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Hanneke LankveldFaculteit Rechtsgeleerdheid
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Sarah de RijckeFaculteit der Sociale Wetenschappen
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Bart CustersFaculteit Rechtsgeleerdheid
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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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Graduate School FGGA: Research data management course
Didactics, Career development
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Bibliometric Data Sources and Indicators 2024
Research
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OSCoffee: Making data reusable in the social sciences
Lecture
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Laura ZwepScience
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Peter GrünwaldScience
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Marta FioccoScience
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Gino Bertrand KpogbezanScience
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Kevin DuistersScience
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Jelle GoemanFaculteit Geneeskunde
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Thijs BosScience
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Andreas HäuselmannFaculteit Rechtsgeleerdheid
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Pieter KroonenbergFaculteit der Sociale Wetenschappen
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Oliver TuazonFaculteit Rechtsgeleerdheid
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Jaap van den HerikFaculteit Rechtsgeleerdheid
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Eleftheria MakriScience
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Aernout SchmidtFaculteit Rechtsgeleerdheid
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Johannes Schmidt-HieberScience
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Vlad Niculescu-DincaFaculty Governance and Global Affairs
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Wessel KraaijScience
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Gerrit-Jan ZwenneFaculteit Rechtsgeleerdheid
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Mathijs DeenFaculteit der Sociale Wetenschappen
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Fatma ÇapkurtFaculteit Rechtsgeleerdheid
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Harold NefsFaculteit der Sociale Wetenschappen
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Ralph Rippe
Faculteit der Sociale Wetenschappen
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Sarah PlukaardFaculteit der Sociale Wetenschappen
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Data Carpentry with R for Social Sciences and Humanities
Workshop