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Zoekresultaten (48)

HBO/WO

MBO

23 augustus 2023

Interactive Session: Data and its challenges - How GDPR impacts AI solutions

Understand the challenges associated with Data, Understand the effectiveness of GDPR regulation in the AI context

Website

HCAIM Consortium

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

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

19 mei 2023

Privacy Basics for Researchers: online module materials

These are the raw materials used in the online training module "Privacy Basics for Researchers", created within Utrecht University's Moodle platform, by Utrecht University's Research Data Management Support. This module was developed as part of the Data Privacy Project, to give Utrecht University researchers a basic understanding of the General Data Protection Regulation in a research context. It is a self-paced module that takes about 1.5 hours to complete. The module focuses on the following topics: Chapter 1: Personal data, sensitive personal data, roles in the General Data Protection Regulation (GDPR) Chapter 2: Legal basis in research, informing data subjects, data subjects' rights Chapter 3: Privacy by Design and Privacy by Default, privacy scan, Data Protection Impact Assessment (DPIA), privacy risks, data breach Chapter 4: Data security, access control, encryption, pseudonymisation, anonymisation, tools Chapter 5: Storing and sharing personal data, making personal data Findable, Accessible, Interoperable and Reusable (FAIR) In the deposit, you can find the following files: An overview of the module's blocks and learning goals (Learning-Goals_Privacy-Basics-for-Researchers.pdf) The module content in the form of a storyboard per chapter in the online platform Self-created images used in the platform (Platform_materials.zip). A raw Moodle export of the module that can be imported in any other Moodle platform (Privacy_Basics_for_Researchers_pbfr_20230512.mbz)

Document

Dorien Huijser, Ruud Dielen, Jacques Flores-Dourojeanni, Mercedes Beltrán

23 augustus 2023

Lecture: Data and its challenges - EU GDPR, US COPPA, HIPPA

Understand the importance of various data requisitions Explore the common challenges in managing and utilizing data The ethical consideration of handling data

Website

HCAIM Consortium

23 augustus 2023

Lecture: Governance and Stewardship, Key Stakeholders and Personal data Management

Understand the concept of Governance and Stewardship, Key Stakeholders and Personal data Management Understanding of related techniques and approaches

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

23 augustus 2023

Lecture: Data and its challenges - Data Regulations, Data Sourcing and HCAI prospective

Understand the importance of various data requisitions Explore the common challenges in managing and utilizing data The ethical consideration of handling data

Website

HCAIM Consortium

24 juli 2011

Dissolving Disasters

This boad game aims to support experiential learning and dialogue on the concept of “resilience” from the perspective of donors and subsistence farmers facing changing risks. They must make individual and collective decisions, with consequences. This game was designed for the Rockefeller Foundation Workshop Series on Resilience, held in New York City during July and August 2011. This game was developed with support from the American Red Cross (International Services Team), and from a research grant to the Red Cross/Red Crescent Climate Centre from the Climate and Development Knowledge Network (CDKN Action Lab Innovation Fund). Original target group: Community members /donors/ disaster managers/ volunteers/ branch officers etc. Number of players: 10 to 40 players Time needed for gameplay/discussion: 60 to 120 minutes Required materials: see link to game

Document

Red Cross Red Crescent Societies

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