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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Additional Materials
Dec 1, 2025
Jené Cortada, Aina, 2025, "Additional Materials", https://doi.org/10.82201/GGV2I3, BSC Dataverse, V1
In this document you can find a pdf with additional information to all the sessions in the training course Research Data Management for Advanced Users in 2025.
Welcome and training overview
Dec 1, 2025
Tonello, Nadia, 2025, "Welcome and training overview", https://doi.org/10.82201/AJLVM8, BSC Dataverse, V1
This presentation is the introduction to the Research Data Management for Advanced Users training course. It defines the objectives of this training and clarifies the prerequisites.
Clinical Data Management
Dec 1, 2025
Portell-Silva, Laura, 2025, "Clinical Data Management", https://doi.org/10.82201/2Y0WQG, BSC Dataverse, V1
This presentation focus on clinical data and its complexity and value, requiring strong standards and governance. The key takeaway is the necessity of RDM and adherence to FAIR principles. The presentation highlights the European Health Data Space (EHDS) as a critical legislative step to enable the secure, cross-border use of health data for resear...
AI & Law Basic Principles & EU AI Act
Dec 1, 2025
Marina Valls Soler, 2025, "AI & Law Basic Principles & EU AI Act", https://doi.org/10.82201/SBCBMH, BSC Dataverse, V1
This presentation tackles the crucial question of accountability when machines make decisions. It uses real-world examples, like the UK Post Office Horizon scandal, to highlight the risks of unmanaged AI. The core of the presentation introduces the EU AI Act, explaining its goal to mitigate risks to fundamental rights while promoting responsible AI...
Practical Session - Applied FAIR repositories
Dec 1, 2025
Jené Cortada, Aina, 2025, "Practical Session - Applied FAIR repositories", https://doi.org/10.82201/SVFCYF, BSC Dataverse, V1
The presentation explains how repositories provide the necessary infrastructure—like Persistent Identifiers (DOIs) and Metadata—to ensure preservation, safety, and increased research impact. Ultimately, the goal is to guide researchers in confidently selecting and using the right repository (Institutional, Domain-Specific, or Generalist) to maximiz...
Privacy: A fundamental right
Dec 1, 2025
Alba Garcia Mostazo; María Bilabo, 2025, "Privacy: A fundamental right", https://doi.org/10.82201/CYYQ3V, BSC Dataverse, V1
This presentation provides an essential guide to data privacy, focusing on the General Data Protection Regulation (GDPR) as the primary legal framework in the EU. It establishes privacy as a fundamental right and explains the core legal concepts every user should know, such as defining personal data and distinguishing between a Data Controller and...
Intellectual Property Rights and Licenses
Dec 1, 2025
Nadir Mitjans Tresànchez, 2025, "Intellectual Property Rights and Licenses", https://doi.org/10.82201/XJYHZ3, BSC Dataverse, V1
his presentation explains Intellectual Property (IP) and how to protect your research, focusing on Patents, Copyright, Trademarks, and Trade Secrets. The main message is that Patents protect your new technical method (if it solves a problem), while Copyright protects the actual code. It also covers how to legally share your work using licenses (lik...
Sensitive Data: Encryption and Anonymization
Dec 1, 2025
Castro Xum, Cristian Gustavo, 2025, "Sensitive Data: Encryption and Anonymization", https://doi.org/10.82201/8O4EGT, BSC Dataverse, V1
This presentation explains you how to keep private information safe. The main point is to clearly explain the difference between Anonymization (truly hiding identity) and Pseudonymization (using a fake ID). It shows researchers how to use tools like encryption and strong security rules to protect sensitive data and meet GDPR privacy requirements.
Security Measures
Dec 1, 2025
Fernando López; Tonello, Nadia, 2025, "Security Measures", https://doi.org/10.82201/D7DLLF, BSC Dataverse, V1
This presentation on security measures explains the essential rules for protecting research data and electronic services. It focuses on the National Security Framework (ENS), which tells public organizations how to keep information confidential, available, and safe. It shows that security is based on a risk level (Basic, Medium, or High).
FAIR Research Software
Dec 1, 2025
Martin del Pico, Eva, 2025, "FAIR Research Software", https://doi.org/10.82201/5X5VGE, BSC Dataverse, V1
This presentation gives a guide on how to make the code researchers write more useful and lasting. It explains that Research Software (like analysis scripts or simulation models) is now just as important as the data itself for making science reproducible. The presentation takes the core principles of FAIR and applies them to software.
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