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rmoriebricklayer

Brick-proof, reproducible data capsules for R.

rmoriebricklayer resolves open-data sources, records and verifies provenance, validates downloaded data against a pinned schema, and falls back to schema-driven synthetic data when the real source is unreachable — so any analysis result can be traced back to its exact inputs.

What it does

• CKAN resolution — resolve_via_ckan() / resolve_via_ckan_search() locate resources through a portal’s package_show / package_search endpoints.
• Provenance — load_provenance(), make_manifest(), record(), write_manifest_json(), and write_summary_txt() capture every run as a manifest plus a plain-language summary.
• Integrity — sha256_file() / verify_sha256() hash and verify downloads; download_data() / friendly_download() fetch with a Wayback Machine fallback.
• Schema validation — validate_schema() / apply_schema_validation() check data against a pinned schema.
• Synthetic fallback — make_synthetic_column() / make_synthetic_csv() generate schema-driven stand-ins when the real source is down, so a pipeline still runs end-to-end.

Installation

install.packages(
  "rmoriebricklayer",
  repos = c("https://rootcoder007.r-universe.dev",
            "https://cloud.r-project.org")
)

Development version from GitHub:

# install.packages("remotes")
remotes::install_github("rootcoder007/rmorie-bricklayer")

Quick example

library(rmoriebricklayer)

prov <- load_provenance("provenance.json")     # pinned source + schema + hash
res  <- resolve_via_ckan(prov)                  # find the resource on the portal
path <- friendly_download(res$url, "data.csv")  # download (Wayback fallback)
verify_sha256(path, prov$sha256)                # integrity check
df   <- validate_schema(read.csv(path), prov)   # schema-validated data frame

man  <- make_manifest(project = "my-study")
record(man, "input", path)                      # trace the input
write_manifest_json(man, "manifest.json")

Part of the MORIE family

rmoriebricklayer is the reproducibility / provenance layer of the MORIE ecosystem, alongside rmorie and rmoriedata.

Citation

If you use rmoriebricklayer in your research, please cite the software:

Ruhela, V. S. (2026). rmoriebricklayer: Reproducible Data Capsules with Provenance and Fallback. https://github.com/rootcoder007/rmorie-bricklayer

BibTeX (or run citation("rmoriebricklayer") after installation for the entry stamped with the exact installed version, sourced from inst/CITATION):

@Manual{ruhela_rmoriebricklayer_2026,
  title  = {rmoriebricklayer: Reproducible Data Capsules with Provenance and Fallback},
  author = {Ruhela, Vansh Singh},
  year   = {2026},
  url    = {https://github.com/rootcoder007/rmorie-bricklayer}
}

See CITATION.cff for the machine-readable metadata GitHub’s “Cite this repository” button uses.

License

AGPL-3.0-or-later.

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By contributing, you agree to abide by its terms.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.