Guidance framework to apply good practices in ecological data analysis: Lessons learned from building Galaxy-Ecology - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2024

Guidance framework to apply good practices in ecological data analysis: Lessons learned from building Galaxy-Ecology

Résumé

Numerous conceptual frameworks exist for good practices in research data and analysis (e.g. Open Science and FAIR principles). In practice, there is a need for further progress to improve transparency, reproducibility, and confidence in ecology. Here, we propose a practical and operational framework to achieve good practices for building analytical procedures based on atomisation and generalisation. We introduce the concept of atomisation to identify analytical steps which support generalisation by allowing us to go beyond single analyses. These guidelines were established during the development of the Galaxy-Ecology initiative, a web platform dedicated to data analysis in ecology. Galaxy-Ecology allows us to demonstrate a way to reach higher levels of reproducibility in ecological sciences by increasing the accessibility and reusability of analytical workflows once atomised and generalised.

Dates et versions

hal-04639601 , version 1 (09-07-2024)

Identifiants

Citer

Coline Royaux, Jean-Baptiste Mihoub, Marie Jossé, Dominique Pelletier, Olivier Norvez, et al.. Guidance framework to apply good practices in ecological data analysis: Lessons learned from building Galaxy-Ecology. 2024. ⟨hal-04639601⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More