Merge pull request #88 from pythonhealthdatascience/dev

Dev

Author: amyheather

CHANGELOG.md

@@ -0,0 +1,34 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). Dates formatted as YYYY-MM-DD as per [ISO standard](https://www.iso.org/iso-8601-date-and-time-format.html).
+
+## v0.1.0 - 2025-09-10
+
+🌱 Initial release of the website (work in progress). This version introduces the website structure and the first written sections (up to *Output Analysis*).
+
+### Added
+
+* Project overview page (*STARS*).
+* Introduction section covering:
+    * Reproducibility and RAPs
+    * Guidelines
+    * Open-source languages
+    * Example conceptual models
+* Setup section covering:
+    * Version control
+    * Environments
+    * Structuring as a package
+    * Code organisation
+* Model inputs section covering:
+    * Input modelling
+    * Input data management
+    * Parameters from script
+    * Parameters from file
+    * Parameter validation
+* Model building section covering:
+    * Randomness
+    * Entity generation
+    * Entity processing

CITATION.cff

@@ -41,3 +41,5 @@ keywords:
   - simmer
   - rap
 license: MIT
+version: '0.1.0'
+date-released: '2025-09-10'

pages/intro/guidelines.qmd

@@ -41,7 +41,7 @@ Some topics in this guide (e.g. input modelling, parameter validation, and outpu
 
 As part of the [STARS project](../project/stars.qmd), a series of computational reproducibility assessments were conducted. From these, several recommendations were shared to support reproducibility of healthcare discrete-event simulation (DES) models, as described in:
 
-> Heather, A. Monks, T. Harper, A. Mustafee, N. Mayne, A. On the reproducibility of discrete-event simulation studies in health research: an empirical study using open models (2025). arxiv. <https://doi.org/10.48550/arXiv.2501.13137>.
+> Heather, A. Monks, T. Harper, A. Mustafee, N. Mayne, A. **On the reproducibility of discrete-event simulation studies in health research: an empirical study using open models** (2025). Journal of Simulation. <https://doi.org/10.1080/17477778.2025.2552177>.
 
 Those marked with a star (⭐) were identified as having the greatest impact in Heather et al. 2025.
 
@@ -84,7 +84,7 @@ Those marked with a star (⭐) were identified as having the greatest impact in
 
 ## 📋 NHS 'Levels of RAP' Maturity Framework
 
-The following framework is from the NHS RAP Community of Practice: [NHS RAP Levels of RAP Framework](https://nhsdigital.github.io/rap-community-of-practice/introduction_to_RAP/levels_of_RAP/).
+The following framework is from the NHS RAP Community of Practice: **[NHS RAP Levels of RAP Framework](https://nhsdigital.github.io/rap-community-of-practice/introduction_to_RAP/levels_of_RAP/)**.
 
 It is © 2024 Crown Copyright (NHS England), shared under the terms of the [Open Government 3.0 licence](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/).