How Modeling Standards, Software, and Initiatives Support Reproducibility in Systems Biology and Systems Medicine
Open accessAbstract
OBJECTIVE: Only reproducible results are of significance to science. The lack of suitable standards and appropriate support of standards in software tools has led to numerous publications with irreproducible results. Our objectives are to identify the key challenges of reproducible research and to highlight existing solutions. RESULTS: In this paper, we summarize problems concerning reproducibility in systems biology and systems medicine. We focus on initiatives, standards, and software tools that aim to improve the reproducibility of simulation studies. CONCLUSIONS: The long-term success of systems biology and systems medicine depends on trustworthy models and simulations. This requires openness to ensure reusability and transparency to enable reproducibility of results in these fields.
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Barriers to computational reproducibility include a lack of standardization for building and representing models, a lack of documentation on usage, and a lack of transparency by authors, in addition to simple coding errors and typos.
“The barriers to computational reproducibility include a lack of standardization for building and representing models, a lack of documentation on usage, and a lack of transparency (sometimes intentional) by authors5 in addition to simple coding errors and typos.”
From Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities (2019) · cites this paper as [5]
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- Authors
- Waltemath, D., & Wolkenhauer, O.
- Affiliations
- University of Rostock (DE)
- ORCID
- Waltemath, Dagmar
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2016-10
- Volume
- 63
- Issue
- 10
- Pages
- 1999-2006
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2413797628
- Cited by
- 49
- References
- 87
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 5 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 11 · 2019: 9 · 2018: 4 · 2017: 4 · 2016: 5
- FWCI
- 13.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- IEEE Transactions on Biomedical Engineering (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- BMBF e:Bio program (0316194)
- BMBF project SysMet (0316171)
- DFG funding for the project Models, mechanisms and complexity (WO 991/10-1)
- CaSyM
- EC FP7 coordinating action Coordinating Systems Medicine across Europe
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- reproducibility, systems biology, systems medicine, simulation study, modeling standards, software tools, research initiatives, model reuse, transparency, open science
- MeSH terms
- Humans, Models, Biological, Software, Reproducibility of Results, Biomedical Research, Systems Biology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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