BSC Training Courses are free of charge.
This course will be held in person.
Course convener: Nadia Tonello, Head of Data Management Group, Operations, BSC
Lecturers: Data Management group members, Network and Security group members, Data Protection Officer, Life Science data managers, Earth Science data managers, BSC
- Nadia Tonello, BSC Operations Dept, Head of Data Management
- Cristian Castro, BSC Operations Dept, Data Manager
- Maria Bilbao, BSC Data Protection Officer, Lawyer and certified DPO
- Fernando López, BSC Operations Dept, Network and Security, Systems administrator and security engineer
- Laura Portell, Life Sciences Dept, INB/ELIXIR-ES coordination node, Research engineer
- Nadir Mitjans, Innovation and Business development, Technology Tranfer officer
- Alberto Labarga, Life Sciences Dept, INB/ELIXIR-ES coordination node, Senior Research engineer
- Eva Martín del Pico, Life Sciences Dept, INB/ELIXIR-ES coordination node, First stage researcher
Objectives:
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:
- Understand the main characteristics of different kinds of data storage and storage supports, to be able to take the most appropriate decision.
- 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.
- 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).
Learning Outcomes: Upon completing this course, participants will be able to choose the best storage and repositories for their projects; recognise if professional support is necessary to apply the right security measures and be compliant with the current legislation; apply FAIR principles not only to data but also to software; choose the suitable license with the help of specialised staff.
Prerequisites:
Experience working with research data and data management plans, either as a researcher or as a support to researchers.