SciDataReportR is reproducible reporting infrastructure: an open-source framework for turning complex biomedical data analyses into consistent, inspectable research outputs.
Scientific Infrastructure
The package is designed around the recurring needs of translational data science: metadata checks, quality control, transparent analysis summaries, figure generation, table generation, statistical workflows, dimensionality reduction, clustering, biomarker analysis, and dynamic reporting that can be rerun as projects evolve.
Scientific Story
The larger goal is to reduce the distance between exploratory analysis and defensible scientific communication. When reports are generated from reusable code rather than assembled by hand, collaborators can inspect how a result was produced and researchers can return to earlier decisions without losing provenance.
SciDataReportR sits at the center of a broader ecosystem for reproducible biomedical data science. ProteomicsReportR, MetabolomicsReportR, and MultiPlexReportR translate domain-specific methods into reusable reports, while SciDataAgent is being developed as a human-in-the-loop AI reasoning layer that helps scientists explore data, ask better questions, and preserve scientific rigor.
