Research Data Management for Beginners
Training details
Location
Barcelona, Spain (In person)
Start Date
27/04/2026
Time
10 : 00
End Date
29/04/2026
Target Audiance
Scientist
Teaching language(s)
English
Organizing institution
BSC
Delivery mode
On-site
Level
Introductory
Format
Hands-on session, Lecture, Tutorial
Capacity or seats limit
20
Topics / Keywords
Data, DMP, legislation, FAIR principles
What You Will Learn
Upon completing this course, participants will be able to effectively plan and manage research data for a project by developing a comprehensive Data Management Plan (DMP) in accordance with best practices and guidelines. Specifically, participants will have gained a solid understanding of Data Management fundamentals, the role and responsibilities of Data Managers, the practical application of FAIR principles, the European and national context for Data Management, and the practical skills necessary to prepare, evaluate, and compare DMP tools and templates. In addition, participants will understand the principles of Open Science and Open Data, and be equipped to design and deliver introductory training sessions on Research Data Management.
Agenda
- Day 1 – Monday, April 27th, 2026
10:00-11:00 Welcome and course presentation
11:00-11:15 Definitions and Access to Public Funds
11:15-11:30 Motivation for Research Data Management
11:30-12:00 Break
12:00-12:30 Open Science and Open Data
13:10-13:30 Personal data, legislation and security
13:30-15:00 Lunch
15:00-17:00 Hands-on: Templates and tools
- Day 2 – Tuesday, April 28th, 2026
10:00-10:20 Data Management Plan (DMP) contents
10:20-11:10 FAIR Principles in Practice
11:10-11:30 Responsibilities and Policies
11:30-12:00 Break
12:00-12:30 DMP Analysis and Discussion
12:30-13:30 DMP evaluation
13:30-15:00 Lunch
15:00-17:00 Hands-on: Prepare a DMP
- Day 3 – Wednesday, April 29th, 2026
10:00-10:20 Plan and objectives of the TtT
10:20-11:10 Learning theory and teaching methods
11:10-11:30 Didactic tools
11:30-12:00 Break
12:00-13:15 Practical Activity: Planning an RDM Course
13:15-13:30 Wrap-up and farewell
Instructor name(s)
Course convener: Oscar Reina, AI Institute – Data Management, BSC
Lecturers: Data Management group members, Earth Science data managers, BSC
- Nadia Tonello, AI Institute – Data Management
- Oscar Reina, AI Institute – Data Management
- Aina Jene, AI Institute – Data Management
- Aida Moure, Life Sciences – Technologies for Biomedical Research Laboratory
- Francesco Benincasa, BSC Earth Sciences Dept, Earth Data and Diagnostics
- Pierre-Antoine Bretonniere, Earth Sciences Dept., Earth Data and Diagnostics
Course Description
The main goal of this course is to provide basic concepts, and practical examples, and hands-on exercises related to 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.
- Introduce the concepts and practices of Open Science and Open Data.
- Prepare participants to design and deliver introductory training on RDM topics.
- 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.
Prerequisites
- Some experience working with research data, or with researchers dealing with data management plans.
Certificate/badge details
Certificate of Achievement