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datom  

A Unified Framework for Versioned, Traceable Tabular Data
View on CRAN: Click here


Download and install datom package within the R console
Install from CRAN:
install.packages("datom")

Install from Github:
library("remotes")
install_github("cran/datom")

Install by package version:
library("remotes")
install_version("datom", "0.1.2")



Attach the package and use:
library("datom")
Maintained by
Afshin Mashadi-Hossein
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-01
Latest Update: 2026-09-01
Description:
Provides versioned storage for tabular data without a database or a server. Each table is written as an immutable, content-addressed version – identical content is detected and stored only once – while its version history and metadata are kept as code in a 'git' repository and the data itself in a local filesystem or cloud object storage ('S3'). Any past version can be read back exactly by its identifier, and each table records the sources it was derived from, so a project carries full data lineage. A lightweight reader role retrieves current or historical data from storage alone, without 'git' or write access, giving downstream analyses and pipelines a single versioned source of truth. It targets analytical and scientific data management, such as preparing clinical study datasets, and is designed as a foundation for higher-level governance tooling.
How to cite:
Afshin Mashadi-Hossein (2026). datom: A Unified Framework for Versioned, Traceable Tabular Data. R package version 0.1.2, https://cran.r-project.org/web/packages/datom. Accessed 05 Nov. 2026.
Previous versions and publish date:
(2026-10-03 21:50), 0.1.1 (2026-09-01 13:40), 0.1.2 (2026-09-08 06:30)
Other packages that cited datom R package
View datom citation profile
Other R packages that datom depends, imports, suggests or enhances
Complete documentation for datom
Functions, R codes and Examples using the datom R package
Full datom package functions and examples
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