Course info

Course Overview

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The scientific world has embrace digital technology in its research, publication and communication practices. It is now technically possible to open up science to the greatest number of people, by providing open access to publications and - as far as possible - to research data.

This course introduces you to the challenges of Research Data Management and sharing (RDM) in the context of Open Science (OS).

It was created within the framework of the Erasmus+ Oberred project. Other courses from the Oberred project are available on this platform.

Oberred project

This course was carried out in the context of the Oberred project, co-funded by the Erasmus+ Programme of the European Union.

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Oberred is an acronym for Open Badge Ecosystem for the Recognition of Skills in Research Data Management and Sharing. The aim of the Oberred project is to create a practical guide that includes the technical specifics and issues of Open Badges, roles and skills related to RDM, and principles for the application of Open Badges to RDM.

Find out more about the Oberred project here:

Course structure

  • Lesson 1: Context and stakes of RDM 
    • Data and society 
    • Data and science 
    • Science and society: Covid-19 example 
    • Open science and RDM 
    • Evaluation 1
  • Lesson 2: Concepts and processes of RDM 
    • Understanding the data life cycle 
    • FAIR principles 
    • Data Management Plan (DMP) 
    • Legal and ethical aspects 
    • Metadata 
    • Persistents identifiers 
    • The 3 distincts steps of data storage 
    • Reuse and valorisation of data
    • Evaluation 2

Learning Objectives

This course should provide you with a good understanding of the context in which research data management and sharing takes place:

  • What are the issues and benefits of controlled data management? 
  • What concepts are related? 
  • How is data management organized and which actors are involved?

Certification and Additional Info

This course will give you two Open Badges to attest your competencies.

Use of content and licenses

This content is under the Licence CC BY-NC-SA 4.0

You are free to:

  • Share — copy and redistribute the material in any medium or format 
  • Adapt — remix, transform, and build upon the material

Course Structure

  • Lesson 1 - Context and stakes of Research Data Management (RDM)
  • Lesson 2 - Concepts and processes of RDM


Viet Jeannaud, EMMA Project

Urfist Méditerranée - Université Côte d'Azur


Nicolas Hochet

Urfist Méditerranée - Université Côte d'Azur



Inist CNRS

Yvette Lafosse, Pierrette Paillassard, Claire Sowinski, Coralie Wysoczynski
Centre National de la Recherche Scientifique


Marta Blaszczynska


Mateusz Franczak


Michel Roland


Tomasz Umerle


Beata Koper


Barbara Wachek