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11 to 20 of 32 Results
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
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...
2025 - Research Data Management for Advanced Users(Barcelona Supercomputing Center)
Nov 14, 2025Education and Training
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 reposit...
Nov 14, 2025
RODRIGUEZ HERNANDEZ, ARIADNA, 2025, "Citizen science in research: A requirement and opportunity in horizon europe", https://doi.org/10.82201/Y8R3GM, BSC Dataverse, V1
This poster explains what citizen engagement is and how it can be integrated into Horizon Europe projects, highlighting that it is a key requirement from the European Commission. The idea is simple: the greater the interaction between academia, industry, government, and civil society, the more reliable, trusted, and widely adopted R&I results will...
BSC Dissemination(Barcelona Supercomputing Center)
Nov 13, 2025Barcelona Supercomputing Center
Oct 27, 2025 - Research Data Management
Jené Cortada, Aina; Saiz Antón, José Javier; Checchia Adell, Paula; Gómez-Cortés, Felipe; Carrascosa, Adrian, 2025, "BSC Dataverse - Introduction and organization", https://doi.org/10.82201/FHX4RX, BSC Dataverse, V1
This dataset provides the support material for the BSC Dataverse training session. The session introduces participants to the BSC Dataverse platform, explains who can use it, and guides them through its structure, workflows, and best practices. It also presents real-world use cases from current BSC Dataverse users. The material helps both users and...
Jul 30, 2025 - 2025 - Research Data Management for Beginners
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.
Jul 30, 2025 - 2025 - Research Data Management for Beginners
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...
Jul 30, 2025 - 2025 - Research Data Management for Beginners
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.
Jul 30, 2025 - 2025 - Research Data Management for Beginners
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.
Jul 30, 2025 - 2025 - Research Data Management for Beginners
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.
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