Dates: November 25th and 26th 2025
The main goal of this course is to give advanced notions and practical examples and exercises about the Data Management activities for researchers and research support staff, with special attention to the management of sensitive data. The objectives of the course are:
  • Examine and compare the most used data repositories, and how they can respond to the needs of your project.
  • Learn the basic concepts of the current European and Spanish legislation for managing correctly personal data, and when the collaboration of an expert is mandatory.
  • Understand the main characteristics of the EU AI Act.
  • Examine the security measures a data manager must consider when managing data. Understand and compare methods for managing sensitive data: anonymization and encryption.
  • See an application of those concepts in the management of clinical data.
  • Learn how to manage software applying the FAIR principles.
  • Understand the basic management of IP and licenses and their implications in a project.
  • Experiment how to solve practical DMPs issues and real cases (practical sessions).
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Practical Session - Analysis of DMPs and projects
Dec 1, 2025
Reina Garcia, Oscar, 2025, "Practical Session - Analysis of DMPs and projects", https://doi.org/10.82201/SZEMIP, BSC Dataverse, V1
This presentatio is a hands-on workshop designed to help researchers master Research Data Management concepts through practical exercises. It outlines a series of tasks, that teach participants how to use the Science Europe DMP Evaluation Rubric to assess and improve their own Data Management Plans (DMPs), ensuring their research aligns with core R...
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