Slack
+Join discussions by [requesting a Slack invite](https://join.slack.com/t/r-validation-hub/shared_invite/zt-abc123456-ExampleLink).
-## Contribute to a Working Group
+---
+
+## Contribute to a Workstream
+
+### ⚡ Priority Focus
+Some workstreams are actively seeking contributors. Check below to see where your skills might be a good fit!
+
+---
+
+### 🗣️ Communications Workstream
-If you are willing and able to commit more time to the R Validation
-Hub's mission, then there are several options depending on your skills
-and interests. If you do not feel you have the necessary technical
-skills to contribute then please don't let that stop you from getting in
-touch and sharing ideas to support the implementation of a risk-based R
-package assessment.
+⚡ *Currently growing!*
-In each case you can get involved either by contacting the stream leads
-via the relevant GitHub page, or by sending a message to us via the
-contact form on our [Contact Us](/contact/) page.
+We’re looking for long-term contributors interested in increasing awareness of the R Validation Hub’s work and engaging our larger R community. Check our what we would love to see in contributors below!
+
+**Current Focus**
-### The Communications Workstream
+-
+-
-*Check back later!*
+**What We Ask of Contributors**
-The communications workstream is our newest endeavor. We've been
-fortunate to have a lot of interest in these roles. Please check back
-later to see if the team is looking to grow.
+- ✍️ Write blogs and meeting summaries
+- 🧑💻 Help organize and host quarterly meetings
+- 🌐 Support website content updates
+- 📣 Outreach to expand the awareness of our mission and work
-### The [{riskmetric}](https://github.com/pharmaR/riskmetric) R Package
+**Helpful Experience**
-The {riskmetric} package collects metrics that support the idea of a
-risk-based evaluation of R packages. The package collects and summarizes
-various metrics and provides the means to quantify the risk of a package
-via a weighted risk score. It also serves as the backbone of the Risk
-Assessment Shiny application. For more information see the [package
-site](https://pharmar.github.io/%20riskmetric/) or [GitHub
-page](https://github.com/pharmaR/riskmetric).
+- Blog writing, social media use, and mailing list management and communication
+- Experience with R Markdown or website building in R
+- Knowledege or willingness to learn about R package validation and risk assessment
+
+---
+
+### 📦 [{riskmetric} R Package](https://github.com/pharmaR/riskmetric)
+
+
+
+
+
+
+
+The `{riskmetric}` package collects metrics to support a risk-based evaluation of R packages and powers the Risk Assessment app.
**Current Focus**
-The {riskmetric} team is currently looking to build features to support
-the idea of package cohorts. We are also looking to refine some of the
-meta-information collected by riskmetric to better serve the risk
-assessment application. The team also has a [backlog of other open
-issues](https://%20github.com/pharmaR/riskmetric/issues), including
-additional metrics that they would like to explore.
+- Cohort support features
+- Refining meta-information
+- Exploring new metrics [See issues](https://github.com/pharmaR/riskmetric/issues)
-**Key Skills Required**
+**Helpful Experience**
-A fundamental understanding of R packages is essential for anyone
-looking to support the {riskmetric} team. Package development experience
-is also highly beneficial.
+- Familiarity with R package development
+- Interest in open-source quality metrics
-### The [{riskassessment} Application](https://github.com/pharmaR/riskassessment)
+---
-The risk assessment Shiny app is an extension of the {riskmetric} R
-package and provides a graphical interface to the {riskmetric}
-functionality. It provides further exploratory capabilities in addition
-to the numeric metrics and improves ease-of-use for organizations to
-adopt a risk-based approach to R package validation. For more
-information see the [package GitHub
-page](https://github.com/pharmaR/risk_assessment).
+### 📊 [{riskassessment} Application](https://github.com/pharmaR/riskassessment)
+
+
+
+
+
+
+
+A Shiny app that makes `{riskmetric}` outputs interactive and easier to explore.
**Current Focus**
-In addition to working with the {riskmetric} team to better support
-cohorts of packages and multiple package versions, the team is building
-up metric and package exploration features. This includes links to
-source information such as vignettes, and the ability to explore package
-documentation and tests.
+- Package/documentation exploration tools
+- Cohort and version comparison support
+
+**Helpful Experience**
+
+- Shiny app development (esp. with `{golem}`)
+- UI/UX intuition helpful but not required
+
+---
+
+### 🗂️ [Regulatory R Package Repository](https://github.com/pharmaR/regulatory-r-repo-wg)
+
+
+
+
+
-**Key Skills Required**
+This group is building a repository of validated R packages to meet regulatory needs.
-Shiny app development experience is highly desirable; specifically,
-experience with Shiny modules and the {golem} package would be
-beneficial but is not required.
+**Current Focus**
-### The Regulatory R Package Repository
+- Minimal viable product for repository
+- Contributor guidance and onboarding
-The regulatory R package repository is currently working on
-minimal-viable products for a number of key features. Progress is
-tracked on our [GitHub
-page](https://github.com/pharmaR/%20regulatory-r-repo-wg), where you can
-find [information for getting
-involved](https://github.com/pharmaR/regulatory-r-repo-wg/issues/1).
+**Get Involved**
-------------------------------------------------------------------------
+See [this issue](https://github.com/pharmaR/regulatory-r-repo-wg/issues/1) for how to contribute.
-## How else can I help?
+---
-If you have tried to implement any of the R Validation Hub's ideas, or
-used any of our tools, or even if you've decided to go own way, then we
-would love you to submit a case study describing what you have done to
-implement a GxP-compliant R environment to our [Case
-Study](https://github.com/pharmaR/case_studies) catalogue on GitHub. Use
-our mailing list or GitHub issues to let us know of your intentions and
-we'll work with you to upload your written case study. We're also
-pleased to share case studies verbally with the wider community. You can
-find videos of previous presentations on our [case
-studies](/casestudies/) page.
+## How Else Can You Help?
-*If you still don't feel that you can contribute then please consider
-one of our [partner initiatives](https://www.pharmar.org/partners/).*
+Even if you can’t join a workstream directly, you can:
+
+- 📄 Submit a [case study](https://github.com/pharmaR/case_studies) on your experience with R Validation using our tools
+- 🎤 Share your knowledge through a presentation/discussion ([view past talks](/community_meetings/))
+
+---
diff --git a/content/contribute.html b/content/contribute.html
index 0562cd7..6c80fbd 100644
--- a/content/contribute.html
+++ b/content/contribute.html
@@ -1,106 +1,130 @@
---
-title: "Contribute"
-editor_options:
- markdown:
+title: "Connect & Contribute"
+editor_options:
+ markdown:
wrap: 72
---
-Join Our Mailing List
-For occasional news updates, you can join our mailing -list. -This will enable you and your colleagues to receive notifications of key -updates/software releases, our latest news and blog posts, and invites -to all-hands Hub meetings.
-Once you’ve joined, you can subscribe to our -calendar to keep tabs on -all of the R Validation Hub’s all-hands meetings.
+Stay Connected
+📬 Mailing List
+Join our mailing list to receive news, updates, and invites to all-hands meetings.
+📅 Calendar
+Subscribe to our calendar to keep tabs on meetings and activities.
+Contribute to a Working Group
-If you are willing and able to commit more time to the R Validation -Hub’s mission, then there are several options depending on your skills -and interests. If you do not feel you have the necessary technical -skills to contribute then please don’t let that stop you from getting in -touch and sharing ideas to support the implementation of a risk-based R -package assessment.
-In each case you can get involved either by contacting the stream leads -via the relevant GitHub page, or by sending a message to us via the -contact form on our Contact Us page.
-The Communications Workstream
-Check back later!
-The communications workstream is our newest endeavor. We’ve been -fortunate to have a lot of interest in these roles. Please check back -later to see if the team is looking to grow.
The {riskmetric} R Package
-The {riskmetric} package collects metrics that support the idea of a -risk-based evaluation of R packages. The package collects and summarizes -various metrics and provides the means to quantify the risk of a package -via a weighted risk score. It also serves as the backbone of the Risk -Assessment Shiny application. For more information see the package -site or GitHub -page.
+Contribute to a Workstream
+⚡ Priority Focus
+Some workstreams are actively seeking contributors. Check below to see where your skills might be a good fit!
++
🗣️ Communications Workstream
+⚡ Currently growing!
+We’re looking for long-term contributors interested in increasing awareness of the R Validation Hub’s work and engaging our larger R community. Check our what we would love to see in contributors below!
Current Focus
-The {riskmetric} team is currently looking to build features to support -the idea of package cohorts. We are also looking to refine some of the -meta-information collected by riskmetric to better serve the risk -assessment application. The team also has a backlog of other open -issues, including -additional metrics that they would like to explore.
-Key Skills Required
-A fundamental understanding of R packages is essential for anyone -looking to support the {riskmetric} team. Package development experience -is also highly beneficial.
+-
+
+
+
What We Ask of Contributors
+-
+
- ✍️ Write blogs and meeting summaries
+
+ - 🧑💻 Help organize and host quarterly meetings
+
+ - 🌐 Support website content updates +
- 📣 Outreach to expand the awareness of our mission and work +
Helpful Experience
+-
+
- Blog writing, social media use, and mailing list management and communication +
- Experience with R Markdown or website building in R
+
+ - Knowledege or willingness to learn about R package validation and risk assessment +
The {riskassessment} Application
-The risk assessment Shiny app is an extension of the {riskmetric} R -package and provides a graphical interface to the {riskmetric} -functionality. It provides further exploratory capabilities in addition -to the numeric metrics and improves ease-of-use for organizations to -adopt a risk-based approach to R package validation. For more -information see the package GitHub -page.
+📦 {riskmetric} R Package
+
The {riskmetric} package collects metrics to support a risk-based evaluation of R packages and powers the Risk Assessment app.
Current Focus
-In addition to working with the {riskmetric} team to better support -cohorts of packages and multiple package versions, the team is building -up metric and package exploration features. This includes links to -source information such as vignettes, and the ability to explore package -documentation and tests.
-Key Skills Required
-Shiny app development experience is highly desirable; specifically, -experience with Shiny modules and the {golem} package would be -beneficial but is not required.
+-
+
- Cohort support features
+
+ - Refining meta-information
+
+ - Exploring new metrics See issues +
Helpful Experience
+-
+
- Familiarity with R package development
+
+ - Interest in open-source quality metrics +
The Regulatory R Package Repository
-The regulatory R package repository is currently working on -minimal-viable products for a number of key features. Progress is -tracked on our GitHub -page, where you can -find information for getting -involved.
+📊 {riskassessment} Application
+
A Shiny app that makes {riskmetric} outputs interactive and easier to explore.
Current Focus
+-
+
- Package/documentation exploration tools
+
+ - Cohort and version comparison support +
Helpful Experience
+-
+
- Shiny app development (esp. with
{golem})
+
+ - UI/UX intuition helpful but not required +
🗂️ Regulatory R Package Repository
+
This group is building a repository of validated R packages to meet regulatory needs.
+Current Focus
+-
+
- Minimal viable product for repository
+
+ - Contributor guidance and onboarding +
Get Involved
+See this issue for how to contribute.
+How else can I help?
-If you have tried to implement any of the R Validation Hub’s ideas, or -used any of our tools, or even if you’ve decided to go own way, then we -would love you to submit a case study describing what you have done to -implement a GxP-compliant R environment to our Case -Study catalogue on GitHub. Use -our mailing list or GitHub issues to let us know of your intentions and -we’ll work with you to upload your written case study. We’re also -pleased to share case studies verbally with the wider community. You can -find videos of previous presentations on our case -studies page.
-If you still don’t feel that you can contribute then please consider -one of our partner initiatives.
+How Else Can You Help?
+Even if you can’t join a workstream directly, you can:
+-
+
- 📄 Submit a case study on your experience with R Validation using our tools +
- 🎤 Share your knowledge through a presentation/discussion (view past talks) +