Dates: April 28th and 30th, 2025
Second Date: July 17th, 2025
The main goal of this course is to give basic notions and practical examples and exercises about the Data Management activities for researchers and research support staff. The objectives of the course are:
  • Familiarize participants with Data Management fundamentals and best practices for researchers and research support staff.
  • Identify the role and responsibilities of Data Managers in research activities.
  • Illustrate the practical application of FAIR principles for managing research data.
  • Discuss the European context for Data Management, including Data Management Plans for HE.
  • Evaluate the national landscape of research projects and initiatives with a focus on Data Management.
  • Facilitate hands-on exercises to: a) Compare and contrast various DMP tools and templates available to researchers b) Develop a Data Management Plan for a research project c) Assess the quality and effectiveness of a Data Management Plan.
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1 to 10 of 13 Results
Session 7 - Train The Trainers
Jul 30, 2025
Tonello, Nadia, 2025, "Session 7 - Train The Trainers", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/QDBLLP, BSC Dataverse, V2
This presentation provides guidance on how to design and deliver your own Research Data Management training. It includes tips, structure ideas, and key topics to cover, making it easier to plan a course that helps others understand and apply RDM practices.
Session 2 - Open Science and Open Data
Jul 30, 2025
Jené Cortada, Aina, 2025, "Session 2 - Open Science and Open Data", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/HIKTF3, BSC Dataverse, V2
This presentation introduces the idea of open science—what it is, why it matters, and how it can benefit research and society. It focuses especially on open data and the key principles that support it, such as FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, Ethics). These prin...
Session 4 - Responsibilities and Policies
Jul 30, 2025
Jené Cortada, Aina, 2025, "Session 4 - Responsibilities and Policies", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/QQUFDU, BSC Dataverse, V1
This presentation introduces key responsibilities and policies in Research Data Management, highlighting ethical, legal, and institutional considerations. It covers roles, legal frameworks (e.g., GDPR, AI Act), and best practices to help researchers manage data responsibly and in compliance with relevant policies.
Session 4 - FAIR Principles in practice
Jul 30, 2025
Benincasa, Francesco, 2025, "Session 4 - FAIR Principles in practice", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/8ZYML3, BSC Dataverse, V1
This presentation offers a practical introduction to the FAIR data principles—Findable, Accessible, Interoperable, and Reusable—with a focus on Earth Sciences data. It includes real-world use cases, tools, and standards to help researchers apply FAIR principles effectively throughout the data lifecycle.
Session 1 - Welcome
Jul 30, 2025
Tonello, Nadia, 2025, "Session 1 - Welcome", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/FUPNMX, BSC Dataverse, V2
This presentation is the introduction to the Research Data Management for Beginners training course. It provides definitions of key RDM concepts that will be referenced throughout the course, along with information related to access public funding.
Session 2 - Personal data, legislation and security
Jul 30, 2025
Arnau Santos Fernandez, 2025, "Session 2 - Personal data, legislation and security", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/RFZ3ZW, BSC Dataverse, V2
This presentation gives an overview of how to handle personal data safely and responsibly. It also introduces key topics related to data security and technical infrastructure, including important regulations and frameworks like the GDPR (General Data Protection Regulation), the AI Act, and ENS (National Security Framework).
Session 1 - Motivation for Research Data Management
Jul 30, 2025
Reina Garcia, Oscar, 2025, "Session 1 - Motivation for Research Data Management", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/XQXOPS, BSC Dataverse, V2
This presentation explains why Research Data Management is important and why it should be used in research projects. It highlights the benefits of good data management, such as making research more organized, easier to share, and more likely to receive funding.
Session 3 - Tools and Templates
Jul 30, 2025
Jené Cortada, Aina, 2025, "Session 3 - Tools and Templates", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/UQNEHD, BSC Dataverse, V1
This presentation shows different resources related to Research Data Management available, produced by Elixir Europe. Moreover, lists the variety of existing tools available for creating a Data Management Plan (DMP), as well as the different templates for DMPs such as Horizon Europe or Science Europe.
Session 4 - Contents of a DMP
Jul 30, 2025
Reina Garcia, Oscar, 2025, "Session 4 - Contents of a DMP", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/NQDVVY, BSC Dataverse, V1
This presentation introduces the key components of a Data Management Plan (DMP), explaining its role throughout the research lifecycle. It covers benefits, structure, FAIR principles, legal and ethical considerations, and practical tips for writing and updating a DMP effectively.
Session 5 - DMP evaluation
Jul 30, 2025
Bretonnière, Pierre-Antoine, 2025, "Session 5 - DMP evaluation", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/JCVAOH, BSC Dataverse, V1
This dataset contains slides for a Data Management Plan (DMP) evaluation of four DMPs for climate data. It includes three real DMPs in order to learn about an overview of the evaluation process, methodology, and key findings. The data provides stakeholders with an objective assessment of the DMPs' capabilities for managing climate data, identifying...
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