fix: copy edit

Author: lwasser

governance/mission-values.md

@@ -1,7 +1,6 @@
 # Mission and values
 
-The mission of pyOpenSci is to support diverse community around the free, open
-python tools that drive open, reproducible scientific workflows.
+The mission of pyOpenSci is to support building a diverse community of practice around the free, open Python tools that drive open, reproducible scientific workflows.
 
 We support our mission by:
 
@@ -16,52 +15,48 @@ Science is now data-driven. And as such, data science supports scientists
 processing the data that they need to address critical questions.
 
 We value open science workflows because they allow scientists to build upon each
-others work rather than recreating already developed workflows. Building on
-top of existing workflows supports science developing and evolving at a quicker pace.
+other's work rather than recreating already developed workflows. Building on
+top of existing workflows accelerates science as it prevents scientists from needing to rebuild existing workflows from the ground up.
 
 ## Why is (free) and open source so important?
 
-Open source software refers to the tools that scientists (and others) use to
+Open source software refers to the tools scientists (and others) use to
 process data. Free and open software is critical to science as it allows
-scientists to freely access the tools that they need to process their data.
-If the tools are free and open, then it lowers barriers for others to use them
-without having to pay costly subscription fees.
+scientists to access the tools they need to process their data freely.
+If the tools are free and open, they lower barriers for others to use them
+without paying costly subscription fees.
 
-This free and open source software is critical to supporting development of
+This free and open-source software is critical to supporting the development of
 open scientific workflows
 
-
 ## pyOpenSci Values
 
 Some of our core values include:
 
 * pyOpenSci values supportive, diverse community members
-* pyOpenSci values empowerment community members through training and mentorship
+* pyOpenSci values empowerment of community members through training and mentorship
 * pyOpenSci values collaboration with existing communities
-* pyOpenSci values open reproducible science
+* pyOpenSci values open, reproducible science
 
 ## Transparency
 pyOpenSci strives to be open and transparent in everything that we do. This
 includes:
 
-1. **Resource Allocation:** Clearly communicating how resources are allocated
-   towards specific efforts.
+1. **Resource Allocation:** Clearly communicating how resources are allocated towards specific efforts.
 2. **Workflow Development:** Building and sharing our workflows openly to
    ensure clarity and reproducibility.
-3. **Organizational Operations:** Running the organization in an open manner,
+3. **Organizational Operations:** openly running the organization,
    with accessible documentation of our processes and decisions.
 4. **Participation:** Creating inclusive and transparent pathways for people to
    participate in our initiatives.
 
 ## Open Source
-The goal of everything that pyOpenSci develops is to be as open as possible.
+Everything that pyOpenSci develops aims to be as open as possible.
 This encompasses:
 
 1. **Accessibility:** Ensuring all our work, including website content, is
    openly available online via GitHub and the website.
-2. **Community-Driven Tools:** Prioritizing the development and support of
-   tools that are not only open source but also driven by community input and
-   collaboration.
+2. **Community-Driven Tools:** Prioritizing the development and support of tools that are not only open source but also driven by community input and collaboration.
 
 ## Partnering & Leveraging Existing Efforts
 We believe in learning from and leveraging existing community processes and
@@ -70,7 +65,7 @@ workflows whenever possible. This includes:
 1. **Collaboration:** Actively seeking partnerships with other organizations
    and communities to enhance our impact and avoid duplicating efforts.
 2. **Best Practices:** Adopting and adapting proven community processes and
-   workflows to improve our own practices.
+   workflows to improve our practices.
 
 ## Diversity, Equity, Inclusion, and Accessibility (DEIA)
 We are committed to promoting diversity, equity, inclusion, and accessibility
@@ -88,11 +83,6 @@ To manifest our values, we ensure that:
 
 1. **Open Availability:** All of our work, website content, and other resources
    are openly available online via GitHub and our website.
-2. **Community-Driven Development:** We value and prioritize not only open
-   source tools but also tools that are developed through community-driven
-   processes. This means actively engaging with our community to guide and
-   improve our tools and resources.
-
-
+2. **Community-Driven Development:** We value and prioritize open-source tools and tools developed through community-driven processes. This means actively engaging with our community to guide and improve our tools and resources.
 
 Members of the pyOpenSci editorial team have diverse backgrounds. We welcome editors from academia, government, and industry. We especially welcome applications from prospective editors who will contribute to the diversity (ethnic, gender, disciplinary, and geographical) of our board. We also value having a range of junior and senior editors.