Hierarchy of MS-Based Evidence

Scientific confidence relies on the integrity and verifiability of primary observations, yet increasing experimental scales and computational complexities challenge traditional mechanisms of trust. In proteomics, community standards emphasize the public deposition of raw mass spectrometry (MS) data to enable reanalysis and reproducibility. However, recent advances in software capable of simulating MS data raise the possibility that datasets may be altered or generated entirely in silico and presented as experimentally acquired data. Here, we argue that current standards rarely distinguish between raw data formats in terms of their provenance guarantees or susceptibility to modification. To address this emerging vulnerability, we propose a hierarchy of evidence for MS-based reporting, analogous to established evidence hierarchies in medicine, in which confidence in reported findings increases with the traceability and verifiable provenance of raw data files. With this framework, we aim to support reviewers and readers in assessing the robustness of published claims and to stimulate discussion on strengthening data integrity safeguards in proteomics.

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Publication Details

Journal
Journal of Proteome Research
Published
2026-06-30
DOI
https://doi.org/10.1021/acs.jproteome.6c00265
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Hierarchy of MS-Based Evidence

Charlotte Adams, Andreas Hildebrandt, Magnus Palmblad, David Teschner et al.
Journal of Proteome Research
Scientific Computing and Data Management
article

Hierarchy of MS-Based Evidence

Charlotte Adams, Andreas Hildebrandt, Magnus Palmblad, David Teschner, Michael G. Leeming, Sebastian A. Leidel
article en

Abstract

Scientific confidence relies on the integrity and verifiability of primary observations, yet increasing experimental scales and computational complexities challenge traditional mechanisms of trust. In proteomics, community standards emphasize the public deposition of raw mass spectrometry (MS) data to enable reanalysis and reproducibility. However, recent advances in software capable of simulating MS data raise the possibility that datasets may be altered or generated entirely in silico and presented as experimentally acquired data. Here, we argue that current standards rarely distinguish between raw data formats in terms of their provenance guarantees or susceptibility to modification. To address this emerging vulnerability, we propose a hierarchy of evidence for MS-based reporting, analogous to established evidence hierarchies in medicine, in which confidence in reported findings increases with the traceability and verifiable provenance of raw data files. With this framework, we aim to support reviewers and readers in assessing the robustness of published claims and to stimulate discussion on strengthening data integrity safeguards in proteomics.

Journal of Proteome Research
University of Bern (CH), University of Antwerp (BE), The University of Melbourne (AU), Leiden University Medical Center (NL), Proteogenomics Research Institute for Systems Medicine (US), National Institute of Pharmaceutical Education and Research (IN), Czech Academy of Sciences, Institute of Computer Science (CZ)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Fonds Wetenschappelijk Onderzoek, Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie
Openalex Percentile: Top 4%
Scientific Computing and Data Management
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