The RAP community of practice includes all analysts and data scientists who are interested in adopting the working practices included in reproducible analytical pipelines (RAP) at NHS Digital.

Guidance for quality assurance of code for civil service researchers and analysts.

R package: generate best-practice stats spreadsheets for publication

This repo collects the open-source work of the Analytics Service within NHS Digital Data Services

Good Practice Tables - an XlsxWriter wrapper to write consistently formatted statistical tables to Excel.

A python package template by NHS England that can be adapted for RAP projects.

Data engineering pipeline for the household COVID-19 Infection Survey (CIS)

An example Python repository that follows the standard structure we recommend for Reproducible Analytical Pipeline (RAP) scripts, with supporting packages in Python.

Code repository for the Personal Social Services Adult Social Care Survey publication

This repo includes the pipeline used to link and curate CVD PREVENT audit data to HES and death registration data into two tables. These are subsequently sent to OHID for analysis and publication.

Code repository for the Smoking Drinking and Drug Use Report

The codon project was created to increase code sharing, code consistency, coding standards, and encourage collaboration. Package documentation is available on the GitHub pages. codonPython aims to reduce the barrier for entry for analysis and provide software development experience for those at a higher level of technical ability.

A maturity model for platforms that support development of Reproducible Analytical Pipelines (RAP)

A repo to hold resources and code from data science seminars. For more info contact datascience@nhs.net.

Python package containing functions used for deterministically matching a Post Enumeration Survey to census data

Code repository for the NHS Breast Screening Programme report

An example R repository that follows the standard structure we recommend for Reproducible Analytical Pipeline (RAP) scripts with supporting packages in R

Slides for 2nd half of the talk "The world won't let you RAP and what to do about it" held at DataConnect2022