ELDAM: A python software for life cycle inventory data management

Coste Gustave, Biard Yannick, Roux Philippe, Helias Arnaud. 2021. ELDAM: A python software for life cycle inventory data management. Journal of Open Source Software, 6 (5):2765, 4 p.

https://doi.org/10.21105/joss.02765

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Url - jeu de données - Entrepôt autre : https://framagit.org/GustaveCoste/eldam / Url - jeu de données - Entrepôt autre : https://doi.org/10.15454/6EKXJQ

Résumé : Life Cycle Inventory (LCI) data are the backbone of Life Cycle Analysis (LCA). They reflect modelling choices made by the LCA practitioner that can strongly influence the results of environmental impact calculations. The high sensitivity of these data are the reason why they must be accurately documented and tend to the highest possible quality. High quality, well documented LCI data can also be shared between LCA practitioners, allowing productivity gains and better research reproducibility, in particular between practitioners who do not work on the same life cycle inventory database. Unfortunately, SimaPro (PRé Sustainability B.V.,2020), one of the most used LCA software solutions, has only limited features to document,review and exchange LCI data. ELDAM has been developed to fill this gap.

Mots-clés Agrovoc : analyse du cycle de vie, cycle de développement, logiciel, modélisation, évaluation de l'impact, gestion de données, impact sur l'environnement, développement logiciel, programmation informatique, reproductibilité

Mots-clés libres : Life Cycle Assessment, Life cycle inventory, Data management, Quality, Quality Management System, ACV-CIRAD, Review

Classification Agris : U10 - Informatique, mathématiques et statistiques
P01 - Conservation de la nature et ressources foncières

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

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