Sharing & Archiving Results
Sharing a complete, reproducible INTEGRATOR project as a single self-contained folder
Because INTEGRATOR and MRMhub-viz are portable executables that require no installation, a peak-integration analysis is already self-contained: the project folder holds the raw data, the input files with every parameter, the results, and the applications that produced them. The project folder is itself the shareable artefact: a recipient can inspect the outcome, or re-run and adjust the integration, from the folder alone, with no additional material to assemble.
Reproducibility and FAIR data
An INTEGRATOR project folder aligns with the FAIR principles for research data and is well suited to long-term archiving:
- Interoperable — the raw data, results, and parameters are all in open, non-proprietary formats:
mzMLfor the raw data, plain CSV for the result and configuration tables, and plain-textparam.txtfor the parameters, none of which require INTEGRATOR to be read. Only the auxiliarymisc/binaries are application-specific, and they are not needed to access the results. - Reusable — the bundled executables make the integration end-to-end reproducible with no external software: because INTEGRATOR is self-contained and no runtime, library, or vendor tool is involved, a recipient re-runs the entire integration from the folder alone (only the optional PDF plotting depends on an R installation). With the complete parameter record (
param.txtplus the finalisedRT_matrix.csv) travelling alongside the data, the result is reproduced exactly rather than approximately. - Findable & Accessible — because the folder consists only of standard files, it can be deposited as-is in a general-purpose research-data repository (for example Zenodo) to obtain a persistent, citable DOI alongside the associated publication.
See also
- Output Files — the formats of the result tables in a shared project.
- Installation — the applications and input files bundled with the data.
- Review results in MRMhub-viz — the interactive tool included in the folder.
- Continue with QUANT ↗ — post-process
long.csv.