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.github/ISSUE_TEMPLATE/presubmission-inquiry.md

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## Code of Conduct & Commitment to Maintain Package
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- [ ] I agree to abide by [pyOpenSci's Code of Conduct][PyOpenSciCodeOfConduct] during the review process and in maintaining my package after should it be accepted.
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- [ ]I have read and will commit to package maintenance after the review as per the [pyOpenSci Policies Guidelines][Commitment].
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## Description
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## Scope
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- Please indicate which [category or categories][PackageCategories] this package falls under:
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- [ ] Data retrieval
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- [ ] Data extraction
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- [ ] Data munging
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- [ ] Data processing/munging
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- [ ] Data deposition
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- [ ] Data visualization
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- [ ] Reproducibility
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- [ ] Data validation and testing
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- [ ] Data visualization **
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- [ ] Workflow automation
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- [ ] Citation management and bibliometrics
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- [ ] Scientific software wrappers
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- [ ] Database interoperability
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Domain Specific & Community Partnerships
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- [ ] Geospatial
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- [ ] Education
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- [ ] Pangeo
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- [ ] Unsure/Other (explain below)
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- Explain how and why the package falls under these categories (briefly, 1-2 sentences). Please note any areas you are unsure of:
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[pangeoWebsite]: https://www.pangeo.io
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[PyOpenSciCodeOfConduct]: https://www.pyopensci.org/governance/CODE_OF_CONDUCT

.github/ISSUE_TEMPLATE/submit-software-for-review.md

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## Code of Conduct
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- [ ] I agree to abide by [pyOpenSci's Code of Conduct][PyOpenSciCodeOfConduct] during the review process and in maintaining my package should it be accepted.
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## Description
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- Include a brief paragraph describing what your package does:
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## Scope
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- Please indicate which [category or categories][PackageCategories] this package falls under (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):
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- Please indicate which category or categories.
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Check out our [package scope page][PackageCategories] to learn more about our
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scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):
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- [ ] Data retrieval
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- [ ] Data extraction
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> ** Please fill out a pre-submission inquiry before submitting a data visualization package.*
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- **For all submissions**, explain how the and why the package falls under the categories you indicated above. In your explanation, please address the following points (briefly, 1-2 sentences for each):
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- Who is the target audience and what are scientific applications of this package?
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- [ ] I have read the [author guide](https://www.pyopensci.org/software-peer-review/how-to/author-guide.html).
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- [ ] I expect to maintain this package for at least 2 years and can help find a replacement for the maintainer (team) if needed.
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## Code of Conduct
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- [ ] I agree to abide by [pyOpenSci's Code of Conduct][PyOpenSciCodeOfConduct] during the review process and in maintaining my package should it be accepted.
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## Please fill out our survey
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- [ ] [Last but not least please fill out our pre-review survey](https://forms.gle/F9mou7S3jhe8DMJ16). This helps us track
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submission and improve our peer review process. We will also ask our reviewers

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