docs(title+numbers): amend title and correct number of studies

Author: amyheather

README.md

@@ -1,7 +1,7 @@
 <h1 align="center">
   <a href="https://github.com/pythonhealthdatascience"><img src="https://raw.githubusercontent.com/pythonhealthdatascience/stars_wp1_summary/main/images/stars_banner.png" alt="Markdownify"></a>
   <br>
-  STARS Work Package 1 Summary
+  Computational Reproducibility Assessments: Summary
   <br>
 </h1>
 
@@ -117,7 +117,7 @@ quarto render
 
 This repository has been archived on Zenodo and can be cited as:
 
-> Heather, A., Monks, T., & Harper, A. (2024). STARS Work Package 1 Summary. Zenodo. <https://doi.org/10.5281/zenodo.14267268>.
+> Heather, A., Monks, T., & Harper, A. (2025). Computational Reproducibility Assessments: Summary. Zenodo. <https://doi.org/10.5281/zenodo.14267268>.
 
 If you wish to cite this repository on GitHub, please refer to the citation file `CITATION.cff`, and the auto-generated alternatives `citation_apalike.apa` and `citation_bibtex.bib`. Authors:
 

_quarto.yml

@@ -4,7 +4,7 @@ project:
     browser: true
 
 book:
-  title: "STARS Work Package 1: Computational Reproducibility Assessments"
+  title: "Computational Reproducibility Assessments: Summary"
   chapters:
   - index.qmd
   - text: "Introduction"

pages/background.qmd

@@ -85,7 +85,7 @@ This objectives will be achieved through four work packages:
 
 **Work package 1: Reproducibility of computational results**
 
-* Assess the computational reproducibility of six published DES models created in Python and R.
+* Assess the computational reproducibility of eight published DES models created in Python and R.
 * Evaluate the publication, code and associated artefacts against reporting guidelines, best practice for code sharing, and criteria from journal artefact badges.
 
 **Work package 2: R and Python framework for sharing DES models**

pages/protocol.qmd

@@ -11,7 +11,7 @@ These are summarised below, and modifications from the protocol are also describ
 
 ## Protocol summary
 
-For this work, six published healthcare DES models were selected. These were models with publicly available code under an open licence (either already available or add on request from the STARS team). For each model, the follow stages of work were conducted:
+For this work, eight published healthcare DES models were selected. These were models with publicly available code under an open licence (either already available or add on request from the STARS team). For each model, the follow stages of work were conducted:
 
 **Stage 1: Reproduction** - assessing the computational reproducibility of each study