Reproducibility in systems biology modelling

Reproducibility in systems biology modelling

Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and propose a scorecard for improving reproducibility in this...

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Published in:Molecular systems biology Vol. 17; no. 2; pp. e9982 - n/a
Main Authors: Tiwari, Krishna, Kananathan, Sarubini, Roberts, Matthew G, Meyer, Johannes P, Sharif Shohan, Mohammad Umer, Xavier, Ashley, Maire, Matthieu, Zyoud, Ahmad, Men, Jinghao, Ng, Szeyi, Nguyen, Tung V N, Glont, Mihai, Hermjakob, Henning, Malik‐Sheriff, Rahuman S
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 01-02-2021
EMBO Press
John Wiley and Sons Inc
Springer Nature
Subjects:
Biology
Commentary
Mathematical models
Ontology
Reproducibility
Semantics
Simulation
Software
Online Access:Get full text
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Summary:Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and propose a scorecard for improving reproducibility in this field. Graphical Abstract Reproducibility of scientific results is a key element of science and credibility. This piece assesses the reproducibility of mathematical models and presents an 8‐point scorecard for improving model reproducibility.
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ISSN:1744-4292
1744-4292
DOI:10.15252/msb.20209982