UNIVERSITY DEGREE: SCIENTIFIC DATA MANAGEMENT

Training structure
University of Montpellier
Language(s) of instruction
French

Presentation

The "Scientific Data Management" (SDM) training aims to train a wide audience to the issues, practices and tools of data management in scientific research.

Objectives

The objective of the training is to raise awareness and train in open science techniques, but also to explain the meaning and the stakes. Thus, the program offers a wide range of courses in computer science applied to data management, data engineering (anonymization, storage, archiving), project engineering, intellectual property and digital law, etc. This is why the training also offers knowledge and know-how courses (practical work).

This is a diploma course of the University Diploma (DU) type. However, some modules can be taken independently of each other. In this case, the training will only be certifying and not leading to a degree.

It is open to both initial and continuing education.

The training is attached to theData Science Institute of Montpellier and theUniversity of Montpellier. It is the result of the CommonData research program, now the Platform of the Maison des Sciences de l'Homme SUD.

Laurent Burnel, class of 2020/2021

"I work at INRAE, I am currently undergoing a professional reconversion, I am preparing for a role of accompanying groups towards open data, within my institute. The opening of research data has and will increasingly have a strong impact on research practices, and this throughout the life cycle of the data, and thus concerns all research staff.

I was looking for a broad training around the management of research data, there are not many proposed, so this DU was a real opportunity for me. It offers a complete panorama of the different facets of open data, the speakers are practitioners of open data, experts in their field. The proposed courses are both in a theoretical approach, necessary, but also practical, well illustrated by the experience of the speakers."

Véronique Arnal, class of 2020/2021

"The DU SDM is the training to know which research data to open to the scientific community or conversely to protect, how to make the data FAIR (findable, accessible, interoperable and reusable), how to extract knowledge from it and finally which strategic management in the short, medium and long term! This will give you the opportunity to acquire many tools and to raise awareness and advise researchers on open science policy! In short, become a "Data steward"."

Summary of the training

	Diploma	University diploma level bac + 5
	Input level	BAC +5
	Mandatory entry level	No
	Distance learning	Mandatory
	Start date of the training	Sept. 20, 2021
	Start date of registration	Apr. 1, 2022
	End date of registration	Feb. 3, 2023
	Location(s)	Montpellier

Teaching location

Other contacts

(isdm-formation-sdm @ umontpellier.fr)Agnès Robin, pedagogical manager of the training : agnes.robin @ umontpellier.fr (agnes.robin @ umontpellier.fr)

Hélène Leay, training supervisor : veak-chhanny.leay @ umontpellier.fr (veak-chhanny.leay @ umontpellier.fr)

Attached to the Montpellier Institute of Science: isdm-formation-sdm @ umontpellier.fr (isdm-formation-sdm @ umontpellier.fr)

DU Scientific Data Management

Organization

Knowledge control

Report due, followed by a defense at the end of the year for students who wish to graduate

Program

Understanding the data environment of science

The first part of the course provides an understanding of the data science environment:

What is collaborative research?
How to fund research oriented towards data collection and analysis?
What are the strategies for developing data science projects?
What legal and/or governance rules apply to data?

3 modules for part 1

Master the tools of data analysis in science

The second part of the course provides training in the mastery of data analysis tools for science, i.e. tools for extracting, contextualizing, mining, securing and protecting data.

5 modules for part 2

Managing open science data

The third part proposes to train to the opening of scientific data. It consists in learning how to share, publish, but also store and archive data in a secure way so that they can eventually be reused and/or valorized.

4 modules for part 3

Conditions of access

Motivation to be demonstrated
Minimum Master level

Applications are submitted to the study of the pedagogical team

Initial and continuing education
Doctoral student: participation in the training will result in a certificate for the corresponding number of hours. However, you must first make sure that the hours of this training will be taken into account by your Doctoral School. Similarly, registration for the doctoral program is not the same as registration for the DU. The two registrations are distinct.

Teaching methods

Distance learning

Attendance at all live sessions is mandatory

Possibility of taking modules of your choice. However, beware of certain modules that are interdependent.

Researchers
Teacher-researchers
Post-doctoral fellows
Doctoral students
Engineers
Innovative project holders (incubated or not)
Master students

Expected results

Validation of the diploma

compulsory attendance: to have followed the lessons of all the modules of the training
defense: in the form of a presentation of a scientific data management project before a jury
have obtained a mark ≥ 10/20 for the preparation and presentation of the project

Certificate of training follow-up

delivered upon request, for people who have completed a minimum of 5 modules, knowing that some modules are essential prerequisites for other modules

UNIVERSITY DEGREE: SCIENTIFIC DATA MANAGEMENT

Training structure

Language(s) of instruction