diff --git a/01-intro.Rmd b/01-intro.Rmd
index 886eb52..975b267 100644
--- a/01-intro.Rmd
+++ b/01-intro.Rmd
@@ -5,18 +5,23 @@ ottrpal::set_knitr_image_path()
# Introduction
+This course is meant to discuss best practices when constructing data visualizations for biology research.
-## Motivation
+## Target audience
+The course is intended for cancer researchers with experience using basic informatics tools and who have an interest in data visualization.
-## Target Audience
+## Motivation
-The course is intended for ...
+Due to the frequent use of automated algorithms to collect and process data as well as the large size of datasets, it is critical to look at collected data and produce effective summaries. Data visualization is useful for exploration, validation, and presentation of research, aiding in the understanding of underlying biology in data sets, debugging errors in informatics workflows, and identifying/avoiding sources of bias. This course is designed to introduce the key concepts of data visualization.
-## Curriculum
+## Curriculum
-The course covers...
+The course covers why data visualizations are important for communication within the biomedical and bioinformatics fields as well as best practices and design principles that researchers should consider when constructing data visualizations for their work.
+```{r out.width = "100%", echo = FALSE}
+ottrpal::include_slide("https://docs.google.com/presentation/d/1cbxc79tKxbH7PZJC18IQcfOfZALNwwVs7WtiiPxD6gU/edit#slide=id.g3015fd53a67_4_171")
+```
```{r}
devtools::session_info()
diff --git a/02_what_why_intro.Rmd b/02_what_why_intro.Rmd
new file mode 100644
index 0000000..1f0a04e
--- /dev/null
+++ b/02_what_why_intro.Rmd
@@ -0,0 +1,20 @@
+# What is Data Visualization?
+
+```{r, include = FALSE}
+ottrpal::set_knitr_image_path()
+```
+
+## Learning Objectives
+
+This chapter will cover:
+
+- {LO1}
+- {LO2}
+
+## What is Data Visualization?
+
+### Exploratory Data Analysis (EDA)
+
+### Polished Visualizations for sharing
+
+## Why is data visualization so important?
diff --git a/03_background_data_graph_info.Rmd b/03_background_data_graph_info.Rmd
new file mode 100644
index 0000000..eb8546c
--- /dev/null
+++ b/03_background_data_graph_info.Rmd
@@ -0,0 +1,30 @@
+# Which visualization should I use?
+
+A data visualization is made up of data and ...
+
+Deciding which data visualization to use ...
+
+```{r, include = FALSE}
+ottrpal::set_knitr_image_path()
+```
+
+## Learning Objectives
+
+This chapter will cover:
+
+- {LO1}
+- {LO2}
+
+## Data types
+
+## Graph types
+
+## Data encodings
+
+### Shape
+
+### Color
+
+### Area, Line, point, ...
+
+### Labels
diff --git a/04_how_to_improve_viz.Rmd b/04_how_to_improve_viz.Rmd
new file mode 100644
index 0000000..f69019d
--- /dev/null
+++ b/04_how_to_improve_viz.Rmd
@@ -0,0 +1,28 @@
+# High quality and inclusive data visualizations
+
+```{r, include = FALSE}
+ottrpal::set_knitr_image_path()
+```
+
+## Learning Objectives
+
+This chapter will cover:
+
+- {LO1}
+- {LO2}
+
+## Visual Design Principles
+
+## Accessibility Considerations
+
+### Color palettes
+
+### Labels
+
+### Captions and alternative text descriptions
+
+## Ethical Considerations
+
+### Data Distortions
+
+## Annotations and other points of reference
diff --git a/05_wrapping_up.Rmd b/05_wrapping_up.Rmd
new file mode 100644
index 0000000..d2a6120
--- /dev/null
+++ b/05_wrapping_up.Rmd
@@ -0,0 +1,18 @@
+# Wrapping up
+
+```{r, include = FALSE}
+ottrpal::set_knitr_image_path()
+```
+
+## Learning Objectives
+
+This chapter will cover:
+
+- {LO1}
+- {LO2}
+
+## In summary
+
+## Additional Considerations
+
+## See next
diff --git a/README.md b/README.md
index 1c9ccdf..10f768d 100644
--- a/README.md
+++ b/README.md
@@ -1,14 +1,14 @@
-# {Course Name}
+# Considerations for Bioinformatic Data Visualization
This course was created from [this GitHub template](https://github.com/jhudsl/OTTR_Template).
-You can see the rendered course material here: {Link to rendered bookdown and/or to the Leanpub.}
+You can see the rendered course material here: https://hutchdatascience.org/DataViz_Considerations/
If you would like to contribute to this course material, take a look at the [OTTR documentation](https://www.ottrproject.org/).
## About this course
-This course introduces {info on what this course introduces}
+This ITN course introduces considerations for best practices in data visualization focusing on and discussing topics such as defining what data visualization is, utilizing exploratory data analysis, employing visual design principles, and making visualizations accessible.
## Learning Objectives
diff --git a/_bookdown.yml b/_bookdown.yml
index b163ca5..6928704 100644
--- a/_bookdown.yml
+++ b/_bookdown.yml
@@ -1,9 +1,12 @@
-book_filename: "Course_Name"
+book_filename: "Considerations for Bioinformatic Data Visualization"
chapter_name: "Chapter "
-repo: https://github.com/jhudsl/OTTR_Template/
+repo: https://github.com/fhdsl/DataViz_Considerations/
rmd_files: ["index.Rmd",
"01-intro.Rmd",
- "02-chapter_of_course.Rmd",
+ "02_what_why_intro.Rmd",
+ "03_background_data_graph_info.Rmd",
+ "04_how_to_improve_viz.Rmd",
+ "05_wrapping_up.Rmd",
"About.Rmd",
"References.Rmd"]
new_session: yes
diff --git a/_output.yml b/_output.yml
index 509a629..9c1d813 100644
--- a/_output.yml
+++ b/_output.yml
@@ -1,16 +1,18 @@
bookdown::gitbook:
- css: assets/style.css
+ css: assets/style_ITN.css
includes:
- before_body: assets/big-image.html
- after_body: [assets/footer.html, assets/open-new-tab.html]
- highlight: tango
+ before_body: assets/big-image-itcr.html
+ after_body: assets/footer.html
+ highlight: tango
config:
toc:
collapse: section
before: |
-
+
after: |
would */
+}
+
+.sourceCode pre {
+ margin: 0 !important; /* makes space above and below symmetrical*/
+}
+
+/* Footer */
+
+.footer {
+ font-family: "Lora", serif;
+ font-size: .85em;
+ color: #193a5c;
+}
\ No newline at end of file
diff --git a/index.Rmd b/index.Rmd
index 79614a5..683ffaa 100644
--- a/index.Rmd
+++ b/index.Rmd
@@ -1,26 +1,39 @@
---
-title: "Course Name"
+title: "Considerations for Bioinformatic Data Visualization "
date: "`r format(Sys.time(), '%B, %Y')`"
site: bookdown::bookdown_site
documentclass: book
-bibliography: [book.bib]
+bibliography: [book.bib, packages.bib]
biblio-style: apalike
link-citations: yes
-description: "Description about Course/Book."
-favicon: assets/dasl_favicon.ico
-output:
- bookdown::word_document2:
- toc: true
+description: "This ITN course introduces considerations for best practices in data visualization focusing on and discussing topics such as defining what data visualization is, utilizing exploratory data analysis, employing visual design principles, and making visualizations accessible."
+favicon: assets/ITN_favicon.ico
---
+
+```{r include=FALSE}
+# automatically create a bib database for R packages
+knitr::write_bib(c(
+ .packages(), "bookdown", "knitr", "rmarkdown"
+), "packages.bib")
+```
+
# About this Course {-}
+This course is part of a series of courses for the [Informatics Technology for Cancer Research (ITCR)](https://www.cancer.gov/about-nci/organization/cssi/research/itcr). This material was created by the ITCR Training Network (ITN) which is a collaborative effort of researchers around the United States to support cancer informatics and data science training through resources, technology, and events. This initiative is funded by the following grant: [National Cancer Institute (NCI)](https://www.cancer.gov/) UE5 CA254170. Our courses feature tools developed by ITCR Investigators and make it easier for principal investigators, scientists, and analysts to integrate cancer informatics into their workflows. Please see our website at [www.itcrtraining.org](www.itcrtraining.org) for more information.
+
+Considerations for Bioinformatic Data Visualization is the first in a series of two courses on data visualization. This course focuses on considerations for best practices in data visualization discussing topics such as
+
+ - defining what data visualization is
+ - utilizing exploratory data analysis
+ - deciding which type of visualization is appropriate for your data/research question
+ - employing visual design principles in polishing visualizations for publication
+ - making visualizations accessible
+ - avoiding data distortions
-## Available course formats
+The second course in the series will focus on building data visualizations, pointing to resources across R and Python, while integrating the best practice considerations discussed in this course.
-This course is available in multiple formats which allows you to take it in the way that best suites your needs. You can take it for certificate which can be for free or fee.
+## Available Course Formats
-- The material for this course can be viewed without login requirement on this [Bookdown website](LINK HERE). This format might be most appropriate for you if you rely on screen-reader technology.
-- This course can be taken for [free certification through Leanpub](LINK HERE).
-- This course can be taken on [Coursera for certification here](LINK HERE) (but it is not available for free on Coursera).
-- Our courses are open source, you can find the [source material for this course on GitHub](LINK HERE).
+ - The material for this course can be viewed without login requirement on this [Bookdown website](https://hutchdatascience.org/DataViz_Considerations/). This format might be most appropriate for you if you rely on screen-reader technology.
+ - Our courses are open source, you can find the [source material for this course on GitHub](https://github.com/fhdsl/DataViz_Considerations/).