Add Best Practices Table to Handbook

BEST PRACTICES Table <html xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">

Practice	Description	Source	Notes
It is helpful to survey a range of existing tools when considering the mapping of "disadvantaged" populations.	Each presents strengths and weaknesses to consider while keeping in mind that ultimately decisions will be driven by: Statutory mandates and priorities of each unique program Data availability, currency, longevity Level of spatial analysis appropriate for the program Census boundary (Tract, Block Group, or Block), Project radius (such as a half-mile), Watershed, Walkshed,	Web-based Tools for Identifying Underserved Communities, CNRA	This guidance discusses things to consider when evaluating tools and is applicable to work at the water boards too.
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.
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	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: https://www.nature.com/articles/sdata201618 some good documentation on how to operationalize FAIR principles for equity data is available here: https://www.nature.com/articles/s41597-022-01606-w	Data management principles.
Using CARE principles for Indigenous Data governance.	The ‘CARE Principles for Indigenous Data Governance’ address concerns related to the people and purpose of data; Collective benefit, Authority to control, Responsibility, and Ethics, and their respective sub-principles. The CARE Principles detail that the use of Indigenous data should result in tangible benefits for Indigenous collectives through inclusive development and innovation, improved governance and citizen engagement, and result in equitable outcomes.	A good source of information on CARE including the original publication is available here: https://www.gida-global.org/care CARE and FAIR principles can go hand and hand and there is good information on that available here: https://www.nature.com/articles/s41597-021-00892-0	Data governance with a specific lens on tribal data and is applicable to broader groups of underrepresented peoples.

CAWaterBoardDataCenter / equity-data-handbook

Add Best Practices Table to Handbook #23