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about.md

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+<h3>Tech Stack</h3>
+
+Much like the ethos behind podcasting 2.0, the PodcastIndex Dashboard is proudly built on the foundations of open-source:
+
+* [Quarto](https://quarto.org) technical publishing system with the new capability of dashboards.
+* The [R](https://r-project.org) project for statistical computing with the following amazing packages:
+    + [`{reclin2}`](https://github.com/djvanderlaan/reclin2): Record linkage toolkit for R.
+    + [`{pointblank}`](https://rstudio.github.io/pointblank/): Data quality assessment and metadata reporting for data frames and database tables. 
+    + [`{reactable}`](https://glin.github.io/reactable/index.html): Interactive data tables for R, based on the [React Table](https://github.com/tanstack/table/tree/v7) and made with [`{reactR}`](https://github.com/react-R/reactR).
+    + [`{reactablefmtr}`](https://kcuilla.github.io/reactablefmtr/index.html): Streamlined table styling and formatting for `{reactable}` tables.
+    + [`{dplyr}`](https://dplyr.tidyverse.org/): A grammar of data manipulation
+
+<h3>Analysis Pipeline</h3>
+
+The duplicate records and data quality analysis pipelines are executed weekly (after the Podcast Index SQLite database is refreshed) as scheduled GitHub Action workflows. Visit the GitHub repository at <https://github.com/rpodcast/pod-db-checker> to find the following scripts:
+* [`duplicate_runner.R`](https://github.com/rpodcast/pod-db-checker/blob/main/duplicate_runner.R): Performs duplication analysis and necessary data pre-processing.
+* [`pointblank_runner.R`](https://github.com/rpodcast/pod-db-checker/blob/main/pointblank_runner.R): Execute data quality checks with the `{pointblank}` package.