Merge pull request #17 from FredHutch/teeny

update resource page and add openscapes

.gitignore

@@ -5,3 +5,7 @@
 
 .Rhistory
 .Rproj.user
+
+.Rbuildignore
+
+ocdo.Rproj

_quarto.yml

@@ -2,7 +2,7 @@ project:
   type: website
 
 website:
-  google-analytics: "UA-XXXXXXXX"
+  google-analytics: "G-F8NWF32PC7"
   cookie-consent: true
   announcement:
     icon: info-circle
@@ -71,8 +71,8 @@ website:
               href: https://join.slack.com/t/fhdata/signup
             - text: "Monday Morning Data Science"
               href: https://fhdata.substack.com/
-            - text: "Openscapes @ Fred Hutch"
-              href: resources.qmd#openscapes
+            - text: "Openscapes at Fred Hutch"
+              href: programs/openscapes.qmd
             - text: "Events"
               href: https://centernet.fredhutch.org/u/data-science-lab.html
             - text: "Our Partners"

index.qmd

@@ -1,5 +1,5 @@
 ---
-title: " "
+title: "Data at Fred Hutch"
 toc: true
 ---
 

programs/openscapes.qmd

@@ -0,0 +1,27 @@
+---
+title: "Openscapes at Fred Hutch"
+toc: true
+---
+We are proud to partner with [Openscapes](https://www.openscapes.org/) to bring the Openscapes Champions Cohort Program to Fred Hutch. Openscapes 
+Champions is a mentorship program originally developed for scientific research groups. Centered 
+around collaborative coding and open science, Openscapes meet scientists of many flavors where 
+they are and help develop skill sets, habits, and mindsets to make data 
+workflows and team culture more efficient and resilient. 
+
+Openscapes Champions is a two-month program that is led remotely, with video 
+calls designed for active participation to ignite sustainable change within 
+data groups – within the realities of busy schedules and varying expertise 
+and needs. The Champions Program operates with cohorts of 3-5  groups, 
+with 2-5 individuals per group (24-35 people total per cohort). Importantly, 
+ group leads (faculty, lecturers, program managers, etc.) and members 
+(students, analysts, lab managers, etc.) participate together so that:
+
+
+1) everyone sees and values what is possible with open data science; 
+2) leads enable members to invest time to learn skills and develop shared workflows; 
+3) members have guidance, agency, and support to incorporate concepts into 
+their work; and 
+4) everyone becomes Champions for open data science, 
+strengthening the community of practice within the research group and beyond.
+
+For more information email us at `[email protected]`.

programs/wilds.qmd

@@ -31,4 +31,4 @@ policy and governance, data management, reproducible analysis, data sharing and
 open science into the very tools we create rather than assuming those practices 
 are up to the user to understand and implement separately
 
-For more information contact at `[email protected]`.
+For more information email us at `[email protected]`.

resources.qmd

@@ -6,87 +6,106 @@ sidebar: data-sidebar
 
 
 
-
-:::: {layout-ncol=3}
+## Peer to Peer Support
+:::: {layout-ncol=2 text-align=center}
 ::: {#first-column}
 
 [Data House Calls](programs/dhc.qmd)
-![](img/DaSLHouseCalls-lucy.png)
+
+
+
 Data House Calls are a self-service way to leverage our staff's expertise to help you get where you want to go with your data science skills.  
 
+![](img/DaSLHouseCalls-lucy.png){width=50%}
+
 :::
 
 ::: {#second-column}
 [Learning Communities](programs/communities.qmd)
 
-![](img/learning_comm.png)
+
 
 Learning Communities are events designed to catalyze community and conversations around shared workflows and interests in biomedical data science topics. 
 
+
+![](img/learning_comm.png){width=50%}
 :::
+::::
 
-::: {#third-column}
+## Self-Service Tools and Documentation 
+:::: {layout-ncol=2 text-align=center}
+::: {#first-column}
 
 [WILDS](programs/wilds.qmd)
-![](img/WILDS_V3 Square.png)
+
+
+
 We make our open source resources for tooling to support **W**orkflows **I**ntegrating **L**arge **D**ata and **S**oftware (WILDS), available for our clinical and research communities at Fred Hutch through our GitHub organization. 
 
-:::
-::::
+![](img/WILDS_V3 Square.png){width=50%}
 
+:::
 
 
 
-:::: {layout-ncol=3 text-align=center}
-::: {#first-column}
+::: {#second-column}
 
 [Biomedical Data Science Wiki](programs/sciwiki.qmd)
-![](img/wiki.jpg)
+
+
 
 The Fred Hutch Cancer Center's Biomedical Data Science Wiki is a curated knowledgebase for biomedical data science and research computing best practices, how-to's and other documentation. 
+
+![](img/wiki.jpg){width=50%}
 :::
 
-::: {#second-column}
+::::
+
+## Communication
+
+:::: {layout-ncol=2 text-align=center}
+::: {#first-column}
+
+
 [FH Data Slack](https://join.slack.com/t/fhdata/signup)
 
-![](img/fh-data.png)
 
 Find our current events, peer to peer support, and other data oriented resources in the Fred Hutch Data Slack workspace which is open to anyone in the Fred Hutch Cancer Consortium.  
+
+
+![](img/fh-data.png){width=50%}
 :::
 
-::: {#third-column}
+::: {#second-column}
 
 [Monday Morning Data Science](https://fhdata.substack.com/)
-![](img/substack.png)
+
+
 Monday Morning Data Science is our weekly newsletter with updates from the Lab, announcements about events happening at Fred Hutch and beyond, and data science related content our staff contribute!  
+
+![](img/substack.png){width=50%}
 :::
 ::::
 
+## Multi-Format Training
+:::: {layout-ncol=2 text-align=center}
+::: {#first-column}
+
+
+[Openscapes](programs/openscapes.qmd)
+
+We are proud to partner with [Openscapes](https://www.openscapes.org/) to bring the Openscapes Champions Cohort Program to Fred Hutch. Openscapes Champions is a mentorship program for biomedical data staff centered around collaborative coding and open science.
 
-## Openscapes
-We are proud to partner with [Openscapes](https://www.openscapes.org/) to bring the Openscapes Champions Cohort Program to Fred Hutch. Openscapes 
-Champions is a mentorship program for scientific research groups. Centered 
-around collaborative coding and open science, Openscapes meet scientists where 
-they are and help develop skill sets, habits, and mindsets to make data 
-workflows and team culture more efficient and resilient. 
+:::
+
+::: {#second-column}
+[DaSL Course Catalog](https://hutchdatascience.org/catalog/)
 
-Openscapes Champions is a two-month program that is led remotely, with video 
-calls designed for active participation to ignite sustainable change within 
-research groups – within the realities of busy schedules and varying expertise 
-and needs. The Champions Program operates with cohorts of 3-5 research groups, 
-with 2-5 individuals per group (24-35 people total per cohort). Importantly, 
-research group leads (faculty, lecturers, program managers, etc.) and members 
-(students, analysts, lab managers, etc.) participate together so that:
+We maintain a list of both self-service training materials and training sessions hosted at Fred Hutch.  
 
+:::
+::::
 
-1) everyone sees and values what is possible with open data science; 
-2) leads enable members to invest time to learn skills and develop shared workflows; 
-3) members have guidance, agency, and support to incorporate concepts into 
-their work; and 
-4) everyone becomes Champions for open data science, 
-strengthening the community of practice within the research group and beyond.
 
-For more information about participating in Openscapes @ Fred Hutch, please 
-contact us at `[email protected]`.
 
 

tools.qmd

@@ -34,10 +34,10 @@ cBioPortal is an open-source platform for visualization, exploration, and analys
 
 The [Fred Hutch deployment of cBioPortal](https://cbioportal.fredhutch.org/) provides users with several advantages to enhance their research:
 
-- The private nature of this instance allows researchers to utilize the powerful visualization tools of the application to facilitate visualization of **interim data**.
+- The private nature of this instance allows researchers to utilize the powerful visualization tools of the application to facilitate visualization of **internal data**.
 - It also provides research groups with the ability to establish **controlled access** to their study data, ensuring data protection.
 - Users can host and share their data through the Fred Hutch instance of cBioPortal to **facilitate collaborations**.
-- Additionally, this instance has been reviewed and approved by InfoSec to include up to individually identifiable research data.
+- Additionally, this instance and our administration plans have been reviewed and approved by InfoSec to allow users to include individually identifiable research data in their data uploads when investigators have clear IRB approvals in place. 
 
 ::: {.callout-note appearance="minimal"}
 For more details on what the Fred Hutch instance of cBioPortal can do for you, read our Fred Hutch cBioPortal [product page](https://sciwiki.fredhutch.org/datascience/cbioportal/) and [documentation](https://sciwiki.fredhutch.org/dasldemos/fh-cbio-intro/) on the Fred Hutch SciWiki and visit [cbioportal.fredhutch.org](https://cbioportal.fredhutch.org) to give it a spin.
@@ -54,15 +54,17 @@ To get up to date information regarding the current state and upcoming availabil
 
 
 
-## Product Management & Engineering Teams
+## Data Product Management & Engineering Teams
 Our Data Product Management team partners with various groups on campus and our growing Engineering team to deliver data related products in an responsive and sustainable way. The team supports the management and delivery of responsive and sustainable data-related products. They provide strategic support for data products by managing the data product portfolio, assessing the product landscape in alignment with our strategic goals, and ensuring optimal product development by; streamlining development, coordinating resources, and enhancing visibility across Fred Hutch.
 
 
 Our work includes:
 
-- Program Management of the Fred Hutch Data Initiatives (Strategy & Governance, Patient and Research)
+- Program management of the Fred Hutch Data Initiatives (Strategy & Governance, Patient and Research)
 - Product management for our developed Tools and Products
 - Product management support for cross-institutional data infrastructure products
 
+Our newly forming Engineering team builds translational data infrastructure and data products to enable new capabilities in translational data science and AI for the Fred Hutch translational data community.  
+
 > More to come on the growing Engineering team over the winter of 2024-2025.  See our [open jobs as well](about.qmd#jobs).