testing format to present training material to WG. +Adding WG Initiat…

…ive logos

materials/_quarto.yml

@@ -3,8 +3,8 @@ project:
   output-dir: _book
 
 book: 
-  title: "NCEAS coreR for Delta Science Program"
-  subtitle: "June 10 - 13, 2024"
+  title: "NCEAS Working Group Training Series "
+  # subtitle: "June 10 - 13, 2024"
   reader-mode: false
 
   # NoteHD: cover image is not working
@@ -19,32 +19,38 @@ book:
     search: true
     tools:
       - icon: house-door-fill
-        href: https://www.nceas.ucsb.edu/learning-hub
+        href: https://www.nceas.ucsb.edu/
       - icon: twitter
         href: https://twitter.com/ucsb_nceas
       - icon: github
-        href: https://github.com/NCEAS/nceas-training/tree/2024-06-delta
+        href: https://github.com/NCEAS/nceas-training/tree/2024-working-groups
 
   chapters:
     - index.qmd # preface 
-    - session_01.qmd # Introduction
-    - session_02.qmd # R Setup
-    - session_03.qmd # Git and GitHub set up
-    - session_04.qmd # Literate Analysis
-    - session_05.qmd # Intro to Git and GitHub
-    - session_06.qmd # Tidy data
-    - session_07.qmd # Cleaning and Wrangling
-    - session_08.qmd # Practice Session I - joins
-    - session_09.qmd # Collaborating with Git
-    - session_10.qmd # Data Management
-    - session_11.qmd # Publishing to the Web
-    - session_12.qmd # Intro to Data Viz
-    - session_13.qmd # Spatial Data
-    - session_14.qmd # Practice Session II -lobter report 
-    - session_15.qmd # Shiny
-    - session_16.qmd # Reproducibility and Provenence
-    - session_17.qmd # Appendix: Set up in personla comp
-    - session_18.qmd # Intro to R & RStudio
+
+    - part: "Working Groups Essentials"
+      chapters: 
+        - session_01.qmd # Project Management
+        - session_02.qmd # Data Management
+        - session_03.qmd # Comms plan
+
+    - part: "Extended Learning"
+      chapters:
+        - session_04.qmd # Infographics and 1 pagers
+        - session_05.qmd # Intro to Git and GitHub
+        - session_06.qmd # Collaborating with Git adn Github
+        - session_07.qmd # Project management on GitHub
+        - session_08.qmd # Communicationg your results
+    # - session_09.qmd # Collaborating with Git
+    # - session_10.qmd # Data Management
+    # - session_11.qmd # Publishing to the Web
+    # - session_12.qmd # Intro to Data Viz
+    # - session_13.qmd # Spatial Data
+    # - session_14.qmd # Practice Session II -lobter report 
+    # - session_15.qmd # Shiny
+    # - session_16.qmd # Reproducibility and Provenence
+    # - session_17.qmd # Appendix: Set up in personla comp
+    # - session_18.qmd # Intro to R & RStudio
     # - session_19.qmd # Spatial Data
     # - session_20.qmd # Repro and Provenance
 

materials/index.qmd

@@ -2,15 +2,17 @@
 
 ::: column-margin
 
-![](cover.png){width="80%" fig-align="center"}
+![](cover.png){width="60%" fig-align="center"}
 
-![](images/delta/delta-logo.png){width="80%" fig-align="center"}
+![](images/morpho-logo.png){width="60%" fig-align="center"}
+
+![](images/GulfEcoLogo.png){width="60%" fig-align="center"}
 
 :::
 
-## About the course {.unnumbered}
-As part of a collaboration between NCEAS and the Delta Science Program, this course has been adapted from [NCEAS coreR course](https://www.nceas.ucsb.edu/learning-hub/core-r), an in-person immersion in R programming for environmental data science. Researchers will gain experience with essential data science tools and best practices to increase their capacity as collaborators, reproducible coders, and open scientists.
+## About the Series {.unnumbered}
 
+ADD INFORMATION
 
 ## NCEAS Expertise
 
@@ -19,35 +21,37 @@ The [National Center for Ecological Analysis and Synthesis (NCEAS)](https://www.
 NCEAS has over 25 years of success with this model among working groups and environmental professionals. Together with the Delta Science Program and the Delta Stewardship Council we are excited to pass along skills, workflows, mindsets learn throughout the years.
 
 
-<!-- *June 10 - 13, 2024* -->
+
 
 ### Learning Objectives
--   Effectively manage data using `tidy` data practices
--   Implement reproducible scientific workflows throughout all aspects of a project
--   Establish best practices and utilize tools like Git & GitHub to optimize your collaboration
--   Better communicate scientific analyses and results using Markdown, GitHub webpages, and R packages like `ggplot2` and `Shiny`
-- Increase your familiarity and confidence with data science tools
 
-### Week's Schedule
+MAYBE ADD OVER ALL LEARNING OBJECTIVES?
 
-:::{.column-body-outset}
-![](images/schedule.png)
-:::
+### Workshop Schedule
+
+TABLE WITH ALL DATES
 
+### How to register?
+
+ADD INFORMATION
 
 ## Code of Conduct
 
 By participating in this activity you agree to abide by the [NCEAS Code of Conduct](https://www.nceas.ucsb.edu/sites/default/files/2021-11/NCEAS_Code-of-Conduct_Nov2021_0.pdf).
 
-## About this book
+## About this Material
+
+REVISE BLURB
+
 
 These written materials are the result of a continuous and collaborative effort at NCEAS to help researchers make their work more transparent and reproducible. This work began in the early 2000's, and reflects the expertise and diligence of many, many individuals. The primary authors are listed in the citation below, with additional contributors recognized for their role in developing previous iterations of these or similar materials.
 
 This work is licensed under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/).
 
-**Citation:** Camila Vargas Poulsen & Angel Chen (2024), NCEAS coreR for Delta Science Program, June 2024, NCEAS Learning Hub. URL <https://learning.nceas.ucsb.edu/2024-06-delta>.
+**Citation:** 
+
 
-**Additional contributors:** Ben Bolker, Amber E. Budden, Julien Brun, Samantha Csik, Halina Do-Linh, Natasha Haycock-Chavez, S. Jeanette Clark, Julie Lowndes, Stephanie Hampton, Matt Jone, Samanta Katz, Erin McLean, Bryce Mecum, Deanna Pennington, Karthik Ram, Jim Regetz, Tracy Teal, Daphne Virlar-Knight, Leah Wasser.
+**Additional contributors:** 
 
 
 

materials/session_01.qmd

@@ -1,11 +1,34 @@
 ---
-title: "Welcome: Let's Talk About Reproducibility"
+title: " Facilitating a successful working group"
 title-block-banner: true
 format:
   html:
     code-overflow: wrap
 ---
 
+### Resources  {.unnumbered}
+
+<br>
+
+<center>
+[Workshop Slides](https://docs.google.com/presentation/d/1nOInYwKltKGez3qZdGbHQO_up2cZt4hy7XbtBxvvbfM/edit?usp=sharing){.btn .btn-outline-primary .btn role="button" data-toggle="tooltip" title="Open"}
+</center>
+
+
+<br>
+
+### Description {.unnumbered}
+
+Learn how to effectively manage a working group from before the first meeting, during the first meeting, and what comes next. We will discuss how to align expectations, general tips on communicating with the team, and what to expect from the working group process. This workshop will also touch on project management and facilitation tips with plenty of time to ask questions to our professional facilitators. 
+
+### Learning Objectives  {.unnumbered}
+- Become familiar with best practices for running a successful and productive working group from start to finish
+- Familiarize yourself with the fundamentals of good team communication and collaboration
+- Learn tips and tricks for team facilitation and moving through difficult discussions
+- Establish understanding of the working group process, logistics, and management as well as what makes - NCEAS-style working groups most successful
+
+
+
+
 
 
-{{< include /sections/reproducibility-intro.qmd >}}

materials/session_02.qmd

@@ -1,14 +1,35 @@
 ---
-title: "RStudio Server Setup"
+title: "Data Management and Reproducibility"
 title-block-banner: true
 
 ---
 
+### Resources  {.unnumbered}
+
+<br>
+
+<center>
+[Workshop Slides](https://docs.google.com/presentation/d/1nOInYwKltKGez3qZdGbHQO_up2cZt4hy7XbtBxvvbfM/edit?usp=sharing){.btn .btn-outline-primary .btn role="button" data-toggle="tooltip" title="Open"}
+</center>
+
+
+<br>
+
+### Description {.unnumbered}
+Computational tools make it easier than ever to collect, analyze, and share data and results in transparent and reproducible ways. To achieve reproducibility, it is important to set systems in place and manage data thoroughly. Data management is the process of handling, organizing, documenting, and preserving data used in a project/research. It helps your research outcomes be transparent, maximizing your work’s practical use and value. This lesson provides an overview of all the meaningful steps in a research project and dives into how to plan for successful data management. We will also discuss tools and systems to help you organize and document your work for better reproducibility, to make your analysis robust, and to facilitate collaboration (including with yourself).
+
+
+### Learning Objectives{.unnumbered}
+-   Understand the importance and benefits of data management and data management plans.
+-   Apply the Data Life Cycle steps to organize and plan a research project.
+-   Introduce tools and techniques for establishing reproducible analytical workflows.
+-   Discuss why we should aim for reproducibility and its importance for collaboration.
+
+
 
 
 
 
-{{< include /sections/rstudio-server-setup.qmd >}}
 
 
 

materials/session_03.qmd

@@ -1,11 +1,26 @@
 ---
-title: "Git and GitHub Setup"
+title: "Developing a Strategic Communications Plan"
 title-block-banner: true
 code-annotations: hover
 ---
 
 
+### Resources  {.unnumbered}
 
+<br>
 
-{{< include /sections/git-setup.qmd >}}
+<center>
+[Workshop Slides](https://docs.google.com/presentation/d/1nOInYwKltKGez3qZdGbHQO_up2cZt4hy7XbtBxvvbfM/edit?usp=sharing){.btn .btn-outline-primary .btn role="button" data-toggle="tooltip" title="Open"}
+</center>
 
+
+<br>
+
+
+### Description {.unnumbered}
+Developing your communications plan and brand identity can be intimidating, but coming up with a slogan, focus, audience, and personality will streamline the rest of your science communication efforts. Workshop your plan and your brand and then apply it across your portfolio, including websites, letterhead, and social media.
+
+### Learning Objectives {.unnumbered}
+-   Recognize the importance of a cohesive plan and brand identity as a scientist
+-   Create keywords that capture the essence of your personal/group brand identity 
+-   Connect brand identity to overall asset collection including logos, photos, and biographies

materials/session_04.qmd

@@ -1,18 +1,9 @@
 ---
-title: "Literate Analysis with Quarto"
+title: "Infographics and One-pagers"
 title-block-banner: true
-# execute: 
-#   eval: false
-# format:
-#   html:
-#     code-link: true
-#     code-fold: true
-#     code-summary: "Answer"
-#     code-overflow: wrap
 ---
 
 
 
 
-{{< include /sections/r-intro-quarto.qmd >}}
 

materials/session_06.qmd

@@ -1,5 +1,5 @@
 ---
-title: "Tidy Data"
+title: "Collaborating with Git and GitHub"
 title-block-banner: true
 format:
   html:
@@ -9,4 +9,4 @@ format:
 
 
 
-{{< include /sections/intro-tidy-data.qmd >}}
+<!-- {{< include /sections/intro-tidy-data.qmd >}} -->

materials/session_07.qmd

@@ -1,8 +1,8 @@
 ---
-title: "Cleaning and Wrangling Data"
+title: "Project Management on GitHub"
 title-block-banner: true
 ---
 
 
-{{< include /sections/clean-wrangle-data.qmd >}}
+<!-- {{< include /sections/clean-wrangle-data.qmd >}} -->
 

materials/session_08.qmd

@@ -1,20 +1,13 @@
 ---
-title: "Practice Session I"
+title: "Communicationg Your Results"
 title-block-banner: true
-execute: 
-  eval: false
-format:
-  html:
-    code-link: true
-    code-fold: true
-    code-summary: "Answer"
-    code-overflow: wrap
+
 ---
 
 
 
 
-{{< include /sections/r-practice-tidy-data-joins.qmd >}}
+<!-- {{< include /sections/r-practice-tidy-data-joins.qmd >}} -->