Objectifs :
- Understanding the legal and regulatory framework and the overall policy on research data
management and open data.
- Knowing which questions are important and when to treat them to anticipate all of the sensitive
points around research data.
- Learning to implement a management and opening strategy of your own research data

Programme :
This training session is part of AgroParisTech training path “open science and research data
management”
It is split in two parts.
Organisation: For the whole training: 8h, split in two parts (4h each), a theoretical sequence and a
practical one (optional). Distance training with Teams.
- Theoretical sequence: 18h June 2025, 2 pm to 6 pm,
Defining a strategy for managing and opening research data
- Overall framework around research data: definition, legal and regulatory status, issues related to
openness and confidentiality
- Interrogations, issues and practices to consider during a research project: data management plan, storage strategy, opening and publication, etc.
Pedagogy: thematic presentations by the speakers and then discussion with them
Practical sequence: 19th June 2025, 2 pm to 6 pm, optional (10 places available)
Implementation of a data management and opening strategy in a research project
Using a fake but realistic research project, we will redact a data management plan. The different
issues to consider during this exercise will be treated through all of their components (legal, IT…).

Equipe pédagogique :
Eva Legras, in charge of Open Science and Research Data for AgroParisTech Gaëlle Jaouen, in charge of Research Data for AgroParisTech David Gasparotto, Libraries director Sous réserve : Romuald Lorthioir, IT director

Méthode pédagogique :
Implementation and practical cases

Les Compétences et capacités visées à l'issue de la formation (fiches RNCP)

Arrêté du 22 février 2019 définissant les compétences des diplômés du doctorat et inscrivant le doctorat au répertoire national de la certification professionnelle. https://www.legifrance.gouv.fr/loda/id/JORFTEXT000038200990/

Bloc 3 : Valorisation et transfert des résultats d’une démarche R&D, d’études et prospective

- Mettre en œuvre l’ensemble des dispositifs de publication à l’échelle internationale permettant de valoriser les savoirs et connaissances nouvelles

- Mobiliser les techniques de communication de données en « open data » pour valoriser des démarches et résultats

La formation participe à l'objectif suivant :former à la science ouverte