data
Gain the skills to use scientific data sets !
Program overview
3 chapters - 12 modules - 186 hours
Course curriculum
The course is organised around three themes: understanding the data environment, mastering tools and managing data open to the public.
The first part of the course is structured around a doctrinal component related to basic knowledge of the scientific data environment.
The other two sections take a practical approach, so you can master the tools used to analyse scientific data.
The goal of this course is for students to be able to thoughtfully manage open science and to be trained in how to open up science data. The course therefore involves sharing, publishing, storing and archiving data in a secure way and in such a way that it can potentially give rise to reuse or commercialisation.
1 - Understand the scientific data environment - 24 hours
The first part of the course deals with issues relating to collaborative research, financing, strategies for the development of data science projects, and to the understanding of legal rules and regulations that apply to data.
2 - Mastering the tools to analyse science data - 24 hours
In the course’s second section, you’ll understand how data is extracted, contextualised, combed through and explored, as well as how it can be secured (technically and legally) and protected.
No prior technical knowledge is required.
3 - Managing open science data - 75 hours
The third part focuses on how to share, conserve, store, archive, and commercialise data (scientifically and legally).
More details are available in the downloadable curriculum..
You’ll learn how to
You’ll learn how to
Conditions of Admission
Course start
The course will be available as of September 2021 with classes dispensed remotely.
Internships
No internships are possible as part of this course.
Enrollment
Enrollment opens in early July 2021.
Please note that applications are evaluated by our instructors.
Doctoral students participating in this course will receive official confirmation of the number of hours involved. However, they must first verify that these course hours will be recognised by their doctoral program. (Limited number of places available.)
Conditions
- Demonstrated interest
- Students and lifelong learners
- Second year master’s level minimum
Successful completion requires
- Mandatory presence: complete the components of every module in the course
- Defense: present a scientific data management project to a jury
- A minimum grade of 10/20 on the project preparation and presentation
Certification
To be certified, you must complete the sections of at least five course modules. Keep in mind that some modules are essential prerequisites for others.
Cost of the full course
Cost of customisable modules
Cost of customisable modules
| Module | Price |
|---|---|
| M1.1 + M1.2 + M1.3 | 840 € |
| M3.1 + M3.3 | 1365 € |
| M3.4 + M1.3 | 840 € |
| M2.1 | 700 € |
| M2.2 | 630 € |
| M2.3 | 735 € |
| M2.4 | 315 € |
| M2.5 | 525 € |
| M3.2 | 840 € |