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.