66 expand the page body size

presentations/phuse_eu_abstract.md

@@ -0,0 +1,7 @@
+# The Use of Git in Statistical Programming
+
+Git has achieved over 90% adoption among software developers, offering powerful capabilities such as code reproducibility, streamlined collaboration, and robust audit trails. The PHUSE Emerging Trends and Innovation working group has assembled representatives from diverse organizations to address industry-specific challenges and establish best practices for implementing Git in statistical reporting environments. Over the past year, we have been meeting regularly to discuss how different companies are integrating Git into their day-to-day work.
+
+We previously presented at PHUSE US Connect, introducing the group and our initial findings. In this presentation, we will buld on this, sharing the findings of our first white paper on Git in Statistical Programming. We will highlight how Git is currently being used across the industry, provide recommendations for broader adoption, and outline best practices tailored to statistical reporting. We will also explore how Git can meet regulatory requirements while offering a modern, transparent solution for tracking code changes over time.
+
+

site/.gitignore

@@ -1 +1,3 @@
 /.quarto/
+
+**/*.quarto_ipynb

site/_quarto.yml

@@ -19,6 +19,10 @@ format:
   html:
     theme: cosmo
     css: styles.css
-
+    grid:
+      sidebar-width: 300px
+      body-width: 900px
+      margin-width: 200px
+      gutter-width: 0.5rem
 
 

white-paper/.gitignore

@@ -1 +1,3 @@
 /.quarto/
+
+**/*.quarto_ipynb

white-paper/_quarto.yml

@@ -25,6 +25,11 @@ bibliography: references.bib
 format:
   html:
     theme: cosmo
+    grid:
+      sidebar-width: 300px
+      body-width: 900px
+      margin-width: 200px
+      gutter-width: 0.5rem