From 48b925b9c73f58af053e8acd4a19239374352106 Mon Sep 17 00:00:00 2001 From: Elena Suglia Date: Tue, 8 Oct 2024 14:56:38 -0700 Subject: [PATCH] Update best-practice.qmd minor edits to best practices page --- get-started/best-practice.qmd | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/get-started/best-practice.qmd b/get-started/best-practice.qmd index 28ca6a5..81a596a 100644 --- a/get-started/best-practice.qmd +++ b/get-started/best-practice.qmd @@ -23,9 +23,9 @@ We strongly encourage staff to read this Handbook in its entirety. However, for | | | | | | | - Walkshed | | | +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------+ -| Users conducting an analysis with the CalEnviroScreen (CES) 4.0 dataset should be aware that it contains missing values, both for individual indicators and overall CES scores. | These missing values are distinct from zeros, which are also in the CES dataset. For more information about the missing (and zero) values, see the data dictionary (calenviroscreen40resultsdatadictionary_F_2021.pdf) that accompanies the CalEnviroScreen 4.0 results Excel workbook, available for download as a zip file here. | Racial Equity Data Hub, Tools REDAP Resource Hub Draft (ca.gov), 6/2/2023. | Things to consider when using CalEnviroScreen Scores. | +| Users conducting an analysis with the CalEnviroScreen (CES) 4.0 dataset should be aware that it contains missing values, both for individual indicators and overall CES scores. | These missing values are distinct from zeros, which are also in the CES dataset. For more information about the missing (and zero) values, see the data dictionary that accompanies the CalEnviroScreen 4.0 results Excel workbook, available for download as a zip file [here](https://oehha.ca.gov/media/downloads/calenviroscreen/document/calenviroscreen40resultsdatadictionaryf2021.zip). | Racial Equity Data Hub, Tools REDAP Resource Hub Draft (ca.gov), 6/2/2023. | Things to consider when using CalEnviroScreen Scores. | +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------+ -| Utilizing quantitative and qualitative analyses to identify inequities and response system  effectiveness. | Various national level quantitative and quantitative tools exist to develop a continuum of care focusing on racial inequities and homelessness. Quantitative tools examine population data on race and ethnicity and program outcomes data. Qualitative tool include interviewing people with lived experience. | Racial Equity Data Guidebook from the United States Interagency Council on Homelessness: [https://www.usich.gov/resources/uploads/asset_library/Racial_Equity_Data_Guidebook.pdf](#0) | Innovative tools when looking at homelessness and race. The tools could be used for other programs. | +| Utilizing quantitative and qualitative analyses to identify inequities and response system  effectiveness. | Various national level quantitative and quantitative tools exist to develop a continuum of care focusing on racial inequities and homelessness. Quantitative tools examine population data on race and ethnicity and program outcomes data. Qualitative tools include interviewing people with lived experience. | Racial Equity Data Guidebook from the United States Interagency Council on Homelessness: [https://www.usich.gov/resources/uploads/asset_library/Racial_Equity_Data_Guidebook.pdf](#0) | Innovative tools when looking at homelessness and race. The tools could be used for other programs. | +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------+ | Using F.A.I.R. data principles | Four foundational principles—Findability, Accessibility, Interoperability, and Reusability—that serve to guide data producers and publishers in data management and stewarship. | Original principles from 2016 are available here:  good documentation on how to operationalize FAIR principles for equity data is available here:  | Data management principles. | +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------+