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resources.qmd
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resources.qmd
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---
title: Additional Resources
subtitle: Internal and External Resources for Reproducibility at the Urban Institute
---
::: {.callout-note}
## Contribute
As you come across additional internal or external resources around reproducibility that you would like included here, let us know by opening an issue or pull request in [our GitHub repository](https://github.com/UI-Research/reproducibility-at-urban).
:::
## Internal Resources
The following are additional resources that are developed and maintained by Urban staff:
* [**Code Reviews**](https://tech-tools.urban.org/code-review-form/): Fill out the [intake form](https://tech-tools.urban.org/code-review-form/) to request that an experienced programmer review your code (e.g. to ensure that the results can be replicated, that the code is logical and readable, etc.).
* [**TECH Intake Form**](https://app.smartsheet.com/b/form?EQBCT=5b8bcb21f39c4f19b96c448e4a6622a0): Fill out the [intake form](https://app.smartsheet.com/b/form?EQBCT=5b8bcb21f39c4f19b96c448e4a6622a0) to request support from an experienced programmer to set up a project to enable reproducible workflows (e.g. to onboard project staff to Git/GitHub, set up directories and data storage on Urban's infrastructure, automate a manual or error-prone task, etc.).
* [**R Users Group**](https://urbaninstitute.github.io/r-at-urban/): Visit the group's [website](https://urbaninstitute.github.io/r-at-urban/) to develop your skills in R, an open-source programming language that is widely used at Urban to read and process data, develop data visualizations and maps, build dashboards, conduct analyses, and more.
* [**Python Users Group**](https://ui-research.github.io/python-at-urban/content/index.html): Visit the group's [website](https://ui-research.github.io/python-at-urban/content/index.html) to develop your skills in Python, an open-source programming language that is used at Urban to automate tasks, run microsimulation models, and more.
We also recommend joining the following Slack channels:
* [#github](https://theurbaninstitute.slack.com/archives/C6J9AALDR)
* [#reproducible-research](https://theurbaninstitute.slack.com/archives/CMLR2HY2Z)
* [#r-users-group](https://theurbaninstitute.slack.com/archives/CF56VD6CX)
* [#python-users](https://theurbaninstitute.slack.com/archives/C832MAS5N)
## External Resources
The following are external resources that describe challenges and opportunities to promoting reproducibility:
* [Harvard Data Science Review on Reinforcing Reproducibility and Replicability](https://hdsr.mitpress.mit.edu/reinforcing-rr)
* [How to fix your scientific coding errors](https://www.nature.com/articles/d41586-022-00217-0)
* [Exercises for Lab Groups to Prevent Research Mistakes](https://osf.io/preprints/psyarxiv/rsn5y)
* [The Good Research Code Handbook](https://goodresearch.dev/)