AEQUIPA
Physical activity is a key contributor to healthy ageing. In spite of the widely known beneficial effects, only a small proportion of older adults are physically active. AEQUIPA is a regional prevention research network comprising six universities, two research institutes and the health economy organisation of the Bremen-Oldenburg metropolitan region. The network's core themes are promoting physical activity among older adults (65+).
AEQUIPA Vorstellung
Gesundes Quartier
Zukunftsvision
AEQUIPA Hajo Zeeb
Tilman Brand zu AEQUIPA/RTC
Sonia Lippke zu AEQUIPA/PROMOTE
Jochen Meyer zu AEQUIPA/TECHNOLOGY
Fit im Nordwesten - Strategien für mehr Bewegung im Alltag von Älteren
Aktive Mobilität im Alter fördern - Ein Aktionswochenende im Reallabor Ritterhude
News
Training on Anonymization of Tabular Health Research Data: Foundations, Concepts and Practical Application
- Created by Teresa Alberts
- Research Data Infrastructures and Data ScienceResearch dataEvent
This interactive online training introduces key principles of health data anonymization and demonstrates how to apply them using the ARX Data Anonymization Tool. Participants will learn how to identify potentially identifying information, understand how identification risks can vary across data-sharing scenarios, and select suitable privacy models and data transformations. Practical exercises will guide participants through the data anonymization process.
After the training, participants will be able to:
- distinguish between direct identifiers, indirect identifiers, and sensitive attributes,
- recognize different data-sharing scenarios and understand their implications for identification risks,
- prepare and configure a tabular dataset for anonymization in ARX,
- apply privacy models, such as k-anonymity, and use techniques such as generalization and suppression to transform data,
- assess identification risks and information loss to make informed anonymization decisions.
Target group: Doctoral researchers, early-career researchers, clinical researchers, data analysts, and data stewards
Requirements: No prior experience with ARX is required
Training format: Interactive online training with practical exercises
Speakers: Thierry Meurers, Ivana Nanevski
Date: 26 November 2026
Time: 09:00-12:00 CEST
Language: English
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Registration: [here]
Events
Training on Anonymization of Tabular Health Research Data: Foundations, Concepts and Practical Application
- Created by Teresa Alberts
- Research Data Infrastructures and Data ScienceResearch dataEvent
This interactive online training introduces key principles of health data anonymization and demonstrates how to apply them using the ARX Data Anonymization Tool. Participants will learn how to identify potentially identifying information, understand how identification risks can vary across data-sharing scenarios, and select suitable privacy models and data transformations. Practical exercises will guide participants through the data anonymization process.
After the training, participants will be able to:
- distinguish between direct identifiers, indirect identifiers, and sensitive attributes,
- recognize different data-sharing scenarios and understand their implications for identification risks,
- prepare and configure a tabular dataset for anonymization in ARX,
- apply privacy models, such as k-anonymity, and use techniques such as generalization and suppression to transform data,
- assess identification risks and information loss to make informed anonymization decisions.
Target group: Doctoral researchers, early-career researchers, clinical researchers, data analysts, and data stewards
Requirements: No prior experience with ARX is required
Training format: Interactive online training with practical exercises
Speakers: Thierry Meurers, Ivana Nanevski
Date: 26 November 2026
Time: 09:00-12:00 CEST
Language: English
-----------------------
Registration: [here]
