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Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support

Ayllón Daniel, Railsback Steven F., Gallagher Cara, Augusiak Jacqueline, Baveco Hans, Berger Uta, Charles Sandrine, Martin Romina, Focks Andreas, Galic Nika, Liu Chun, van Loon E. Emiel, Nabe-Nielsen Jacob, Piou Cyril, Polhill J. Gareth, Preuss Thomas G., Radchuk Viktoriia, Schmolke Amelie, Stadnicka-Michalak Julita, Thorbek Pernille, Grimm Volker. 2021. Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support. Environmental Modelling and Software, 136:104932, 12 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Abstract : The acceptance and usefulness of simulation models are often limited by the efficiency, transparency, reproducibility, and reliability of the modelling process. We address these issues by suggesting that modellers (1) “trace” the iterative modelling process by keeping a modelling notebook corresponding to the laboratory notebooks used by empirical researchers, (2) use a standardized notebook structure and terminology based on the existing TRACE documentation framework, and (3) use their notebooks to compile TRACE documents that supplement publications and reports. These practices have benefits for model developers, users, and stakeholders: improved and efficient model design, analysis, testing, and application; increased model acceptance and reuse; and replicability and reproducibility of the model and the simulation experiments. Using TRACE terminology and structure in modelling notebooks facilitates production of TRACE documents. We explain the rationale of TRACE, provide example TRACE documents, and suggest strategies for keeping “TRACE Modelling Notebooks."

Mots-clés Agrovoc : Modèle de simulation, Modélisation environnementale, Gestion de l'environnement, Modélisation, Documentation, Norme, Diffusion de l'information, Diffusion de la recherche, système d'aide à la décision

Mots-clés complémentaires : reproductibilité

Mots-clés libres : Model documentation, Standards, Modelling cycle, Reproducible research, Environmental modelling, Scientific communication

Classification Agris : P01 - Nature conservation and land resources
U10 - Computer science, mathematics and statistics
U30 - Research methods

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

Auteurs et affiliations

  • Ayllón Daniel, Madrid University (ESP) - auteur correspondant
  • Railsback Steven F., Lang Railsback & Associate (USA)
  • Gallagher Cara, Aarhus University (DNK)
  • Augusiak Jacqueline, Charles River Laboratories Den Bosch B.V. (NLD)
  • Baveco Hans, Wageningen University and Research Centre (NLD)
  • Berger Uta, Technische Universitaet Dresden (DEU)
  • Charles Sandrine, Université de Lyon (FRA)
  • Martin Romina, Stockholm University (SWE)
  • Focks Andreas, Wageningen University and Research Centre (NLD)
  • Galic Nika, Syngenta Crop Protection LLC (USA)
  • Liu Chun, Jealott's Hill International Research Centre (GBR)
  • van Loon E. Emiel, University of Amsterdam (NLD)
  • Nabe-Nielsen Jacob, Aarhus University (DNK)
  • Piou Cyril, CIRAD-BIOS-UMR CBGP (FRA) ORCID: 0000-0002-9378-9404
  • Polhill J. Gareth, The James Hutton Institute (GBR)
  • Preuss Thomas G., Bayer (DEU)
  • Radchuk Viktoriia, Leibniz IZW (DEU)
  • Schmolke Amelie, Waterborne Environmental (USA)
  • Stadnicka-Michalak Julita, Swiss Federal Institute of Aquatic Science and Technology (CHE)
  • Thorbek Pernille, BASF (DEU)
  • Grimm Volker, Helmholtz Centre for Environmental Research (DEU)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/597257/)

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