Managing your research data with the Open Science practices

Summary of the course

Standing out as a researcher not only depends on the quality of your work but also on the visibility and accessibility of your work. Your success is also related to your ability to find, manage, store, and share the data of your PhD or any research projects. This module will demonstrate the importance of managing research data as we focus on the search, the management, the storage and the promotion of research data guided by openness practices and tools.

This module consists of two axes:

1. The first one is dedicated to the definition of research data and their place in the Open Science ecosystem;
2. The second one consists of the presentation of the main tools and focuses on research, management, exploitation, storage and sharing of data during the PhD thesis.

Legal, technical, scientific and European ethical issues of research data management are also addressed with the Open Science perspective.

Programme

Overall, this module provides PhD students with the resources and skills to be aware of the challenges and aims related to the management and the storage of data and to find, manage, store and promote research data.

This blended course includes a self-training session (2H) in Moodle and a live webinar a few days later (1H):

• The self-training session aims at presenting the definitions, resources and tools used in the Open Science approach through short capsules of contents and short training activities. Participants will complete this asynchronous part within 10 days (deadline 3 days before the final webinar).
• The final webinar will be very interactive and aimed at 1) debriefing the self-training phase 2) going further to help you to set out open science good practices for your research project.

Module program:

Part 1: Research data with the Open Science perspective

• An attempt to define research data
• Data management and sharing issues and interests
• The principles of data management

Part 2: Finding, managing, valuing, storing and sharing research data

• Finding and reusing existing data for your research project
• How to manage your data?
• The life cycle of research data: production, description, storage, archiving
• The role of metadata
• The FAIR principles
• A management tool: the Data Management Plan (DMP)
• Sharing data: repositories, licenses, and legal framework
• Publishing your data in a data paper

Objectives

• Defining the concept of research data
• Learning more about the life cycle of research data
• Applying FAIR principles for manage and data sharing in repositories
• Understanding research data policies (open research data), data management and data sharing issues and interests

Trainers

Suzanne MPouli, Direction générale déléguée des bibliothèques et musées

Practical information

• Self-training session: from 17th to 24th of November on Moodle
• Webinar: 27th of November from 11:00 to 12:00 on Zoom