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HBO/WO

MBO

26 juni 2018

Sensitive information

It’s important to be aware of privacy sensitive information while writing a thesis or report. How does a student know what information could be included? This is what the video is about. The video is part of the online course Searchlight Advanced of the HvA library.

Website

Bibliotheek HvA

10 augustus 2023

Research Data Management: Data classification

Data classification While writing your dissertation you may (re)use existing data or create new data. These data sets may contain sensitive data. Sensitive data is frequently classified as: public, internal, confidential or secret. The data classification is important as it determines how you store, share and publish your data. Example of classification of sensitive data. Sharing data Sensitive data identifies individuals, species, objects or locations, and carries a risk of causing discrimination, harm or unwanted attention. Related.

Website

Erasmus University Library

2 maart 2024

Data management

Introductie op research data management, met onder meer aandacht voor Open Science, FAIR data management, een aantal praktische tips en persoonlijke data. De slides zijn voorzien van het UvA-logo, en een aantal slides hebben betrekking op de lokale situatie van de UvA.

Presentatie

Casper Fermin, Joost Oosterhuis, Ira Lenters

10 augustus 2023

Research Data Management

Overview: Research Data Management In this guide you will learn how to: manage your data, deal with sensitive data, anonymize data, preserve and archive data. Books about data management. Audience Master students, research master students and PhD candidates.

Website

Erasmus University Library

31 mei 2023

Data Privacy Handbook

The Data Privacy Handbook is a practical guide on handling personal data in scientific research, primarily written for Utrecht University researchers and research support staff in the Netherlands. It is an initiative of Research Data Management Support, in collaboration with privacy and data experts at Utrecht University. The Data Privacy Handbook consists of: A knowledge base which explains how the EU General Data Protection Regulation (GDPR, Dutch: Algemene Verordening Gegevensbescherming) applies to scientific research, including guidelines and good practices in carrying out GDPR-compliant scientific research; An overview of privacy-enhancing techniques & tools and practical guidance on their implementation; Use Cases in the form of research projects with privacy-related issues, for which a reusable solution (e.g., tool, workflow) is shared.

Website

Universiteitsbibliotheek Utrecht

1 augustus 2026

Introduction to data management as part of Open Science

Data management is part of the research cycle. It is crucial to think about it in the design phase of any experiment. This self-study module gives you hands on advice on what to do (and what NOT) with research data. It is not about (statistical) data analysis. This self-study module helps students get familiar with setting up their data management plan. As it’s an introduction to this topic, it is for students at beginner level. After completing this self-study module, you should be able to answer the following questions: What do I store? Where do I store? How can others understand what I stored? Why should I care?

Website

Susanne Kirchhoff

10 augustus 2023

Research Data Management: Personal data and anonymization

Personal data Many researchers process (collect/study/store/share) personal data when conducting their research. Anonymisation and pseudonymisation Applying anonymizing and pseudonymizing techniques is a measure you must take to protect the privacy of research respondents. Definitions Informing participants Another very important measure is to be transparent with your research participants about which personal data you plan to process (collect/study/store/share) for which reason and at what point you will anonymize the data. Related. Suggested.

Website

Erasmus University Library

10 oktober 2023

Personal Data under the GDPR

This video explains when (research) data can be considered personal data. It is part of Utrecht University's online module Privacy Basics for Researchers (https://zenodo.org/doi/10.5281/zenodo.7930571).

Video

Universiteitsbibliotheek Utrecht

23 augustus 2023

Interactive session: Value-sensitive Design

Learner can apply VSD in designing and developing data-based services. Learner can apply the three perspectives of VSD. Learner can use the Ethical Matrix to weigh stakeholders, values and impact and can make ethical choices.

Website

HCAIM Consortium

23 augustus 2023

Lecture: Data Security and compliance, Data lineage and Management

Understand the concept of data security, compliance and lineage Understanding of related techniques and approaches

Website

HCAIM Consortium