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 Documentation is a critical to improving transparency, ensuring when roles or positions change data and information is not lost. Detailed documentation of data sources, analysis methods, and code is also critical to equity because it helps ensure that data is meaningful, accessible, and actionable for communities. Without proper documentation, it can be difficult for others to validate or build on existing analyses. Clear documentation also allows us to pick up where we left off, or easily transition data projects from one team to another. Documentation in our data workflow can also help identify areas of improvement in workflows and paths forward. Projects are more manageable, with clear documentation and over the long-term, documentation can increase transparency and equity.
 
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 ## Documenting with and Equity Lens
 
 **Reproducibility:** Reproducibility is a vital aspect of documentation that plays a key role in promoting data equity. When research is documented in a way that allows others to replicate findings, it ensures that not folks can access and validate the data as part of their understanding and workflow. Ultimately, effective documentation that emphasizes reproducibility fosters trust and collaboration, paving the way for a more equitable data landscape.
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