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enh: update mission statement
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governance/mission-values.md

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(mission-vision)=
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# Mission, Vision and Values
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The mission of pyOpenSci is to support diverse community around the free, open
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python tools that drive open, reproducible scientific workflows.
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pyOpenSci's mission is:
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We support our mission by:
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> pyOpenSci broadens participation in scientific open source by breaking down social and technical barriers.
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* building community capacity to contribute to open software
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* Creating community
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* Open peer review
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* Training and mentorship
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Who we are:
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## Why do we support open science?
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> We are a community of novice to expert Pythonistas; together, we make creating, finding, sharing, and contributing to reusable code more accessible to everyone everywhere, supporting open science and advancing discovery
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Science is now data-driven. And as such, data science supports scientists
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processing the data that they need to address critical questions.
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To support our mission we:
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We value open science workflows because they allow scientists to build upon each
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others work rather than recreating already developed workflows. Building on
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top of existing workflows supports science developing and evolving at a quicker pace.
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* Build an inclusive community of practice
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## Why is (free) and open source so important?
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* Run [open software peer review of scientific software](https://www.pyopensci.org/about-peer-review/index.html) and offer [mentorship](https://www.pyopensci.org/#broadening-participation-in-scientific-open-source) for new reviewers and editors
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* Develop accessible education resources and run training and sprint events
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Open source software refers to the tools that scientists (and others) use to
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process data. Free and open software is critical to science as it allows
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scientists to freely access the tools that they need to process their data.
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If the tools are free and open, then it lowers barriers for others to use them
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without having to pay costly subscription fees.
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## Why open science?
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This free and open source software is critical to supporting development of
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open scientific workflows
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Open science ensures that every part of the scientific workflow—including data, code, and methods—is openly available. This **promotes transparency**, fosters collaboration, and allows scientists to build upon each other's work. By sharing data and tools, open science **accelerates discovery** and makes research more reproducible.
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## Why is free and open source software important?
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## pyOpenSci Values
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A key part of open science is using **open source software**, which provides scientists with the tools to access, process, analyze, and visualize data. **Free software makes workflows reusable and ensures more equitable access.**
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<i class="fa-solid fa-book"></i> **Open source software is essential for building fully reproducible scientific workflows.** By ensuring that research tools remain accessible to all, we support more transparent and inclusive scientific research.
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## pyOpenSci values
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Some of our core values include:
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* pyOpenSci values supportive, diverse community members
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* pyOpenSci values empowerment community members through training and mentorship
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* pyOpenSci values empowerment through training and mentorship
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* pyOpenSci values collaboration with existing communities
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* pyOpenSci values open reproducible science
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