Poisot, T., Becker, D. J., Brookson, C. B., Graeden, E., Ryan, S. J., Turon, G., & Carlson, C. (2025). Ten quick tips to build a Model Life Cycle. PLOS Computational Biology, 21(2), e1012731.
ABSTRACT: This paper introduces the Model Life Cycle for biological data-driven research and develops a series of 10 quick tips aimed at facilitating collaborations between data collectors, curators, users, and modelers, as well as maximizing the potential for re-use of models. We explore the idea of a Model Life Cycle, starting from the assumption that it will address machine learning (ML) models, i.e., models that can be trained and deployed iteratively, and whose focus is on prediction of quantifiable phenomena. Specifically, we are interested in clarifying the use of models in large, interdisciplinary groups, where the actual modelling exercise may involve only a subset of the group. Nevertheless, we have written the recommendations to broadly apply to varied practices of modelling in the life sciences.