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1 | 1 | (mission-vision)=
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2 | 2 | # 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. |
| 4 | +pyOpenSci's mission is: |
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| -We support our mission by: |
| 6 | +> 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 |
| 8 | +Who we are: |
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| -## Why do we support open science? |
| 10 | +> 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. |
| 12 | +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. |
| 14 | +* Build an inclusive community of practice |
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| -## Why is (free) and open source so important? |
| 16 | +* 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 |
| 17 | +* 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. |
| 19 | +## 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 |
| 21 | +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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| 23 | +## Why is free and open source software important? |
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| -## pyOpenSci Values |
| 25 | +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.** |
| 26 | + |
| 27 | +<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. |
| 28 | + |
| 29 | +## pyOpenSci values |
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37 | 31 | Some of our core values include:
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39 | 33 | * pyOpenSci values supportive, diverse community members
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| -* pyOpenSci values empowerment community members through training and mentorship |
| 34 | +* pyOpenSci values empowerment through training and mentorship |
41 | 35 | * pyOpenSci values collaboration with existing communities
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42 | 36 | * pyOpenSci values open reproducible science
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