Year: 2026
Type: preprint
Abstract: Computational models supporting mechanistic understanding of (complex) biological systems, systems behaviour prediction, and experimental design are becoming more and more embedded in research on complex biological systems. Reuse and refinement of models, rather than continuous reinvention, is becoming increasingly important as models' demands on computational infrastructure increase. However published models - despite the variety of efforts taken so far - are frequently difficult to reproduce or reuse, substantially limiting their scientific value. Here we address the requirements for model reusability in the light of the field-specific CURE framework (Credible, Understandable, Reproducible, Extensible) and the more general FAIR principles (Findable, Accessible, Interoperable, Reusable). Considering published guidance we identify broad agreement on requirements for findability, accessibility, and interoperability, but continued lack of clarity and consensus around reusability. Focusing on the scientific quality and usability of computational models we discuss six key practices underpinning model sharing and re-use. Mapping the FAIR and CURE principles onto the model lifecycle we propose ten recommendations for building and sharing systems biology models that are both FAIR- and CURE-compliant.
Source: arXiv (Cornell University)
Authors: Hancock, John M., Anton, Mihail, Bergmann, Frank T., Balaur, Irina, Bleker, Carissa, Collin, Thomas C., Dias, Oscar, Dominguez-Romero, Elena, Evelo, Chris, Farrell, Gavin, Kutmon, Martina, Santos, Vitor Martins dos, Matuszynska, Anna, Moretti, Sebastien, Morsy, Sara, Niarakis, Anna, Ostaszewski, Marek, Rocha, Miguel, Safranek, David, Scott, William, Sheriff, Rahuman, Tosatto, Silvio, Waltemath, Dagmar, Wittig, Ulrike, Zrimec, Jan, Zupanic, Anze
Institutions: University of Ljubljana, ELIXIR, Chalmers University of Technology, Heidelberg University, National Institute of Biology, Frontiers Media SA (Switzerland), Labbels, University of Minho, Maastricht University, Laboratoire d'Ingénierie des Biomolécules, Université de Lorraine, University of Padua, RWTH Aachen University, SIB Swiss Institute of Bioinformatics, University of Hertfordshire, Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, Centre Inria de Saclay, Université de Toulouse, Unité de biologie Moléculaire, Cellulaire et du Développement, Centre de Biologie Intégrative de Toulouse, University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Masaryk University, Universitätsmedizin Greifswald, Heidelberg Institute for Theoretical Studies
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7212925296