Closed AHolder1 closed 3 months ago
National Level Guidance
https://www.census.gov/programs-surveys/acs/data.html - The American Community Survey (ACS) releases new data every year through a variety of data tables that you can access with different data tools.
https://www.census.gov/programs-surveys/acs/library/handbook - You can use American Community Survey (ACS) data in different ways and for different reasons. Each one of our downloadable PDF handbooks helps a particular group with specific how-to instructions and/or case studies.
US EPA has this public facing guidance for content item metadata in ArcGIS Online.
US EPA guidance for Assessing Environmental Justice in Regulatory Analysis https://www.epa.gov/system/files/documents/2023-11/ejtg_revision_110823_508compliant_0.pdf
Guide from the U.S. Department of Health and Human Services on how to conduct an equity assessment of a policy or program: In-Depth Equity Assessment Guide | ASPE (hhs.gov)
FACT SHEET: Biden-Harris Administration Releases Annual Agency Equity Action Plans to Further Advance Racial Equity and Support for Underserved Communities Through the Federal Government
https://www.usich.gov/resources/uploads/asset_library/Racial_Equity_Data_Guidebook.pdf (link broken?) - The U.S. Interagency Council on Homelessness (USICH) is the only federal agency with a sole mission focused on preventing and ending homelessness in America. The council consists of 19 federal agencies that help create and catalyze implementation of the Federal Strategic Plan to Prevent and End Homelessness.
https://www.whitehouse.gov/wp-content/uploads/2022/04/eo13985-vision-for-equitable-data.pdf - From the White House Equitable Data Working Group
https://cssp.org/wp-content/uploads/2021/09/Our-Identities-Ourselves-Project-Infographic-FINAL.pdf - Center for the Study of Social Policy. This is the first phase of a larger project whose goal is to share best practices for collecting data about race, ethnicity, and other demographic information including sexual orientation, gender identity and expression (SOGIE); national origin; language spoken; disability; religion; and tribal affiliation in child welfare agencies nationwide.
CDC guidance:
"Principles for Using Public Health Data to Drive Equity A guide to embedding equitable practices throughout the data life cycle"
https://www.cdcfoundation.org/data-equity-principles?inline
Federal Register :: Initial Proposals For Updating OMB's Race and Ethnicity Statistical Standards
Actionable Intelligence for Social Policy (AISP) Centering for Equity Toolkit: https://aisp.upenn.edu/resource-article/a-toolkit-for-centering-racial-equity-throughout-data-integration/
Urban Institute's Principles for Advancing Equitable Data Practice: https://www.urban.org/sites/default/files/publication/102346/principles-for-advancing-equitable-data-practice.pdf
General Data Management resource hub from the National Institute of Health that includes FAIR principles, metadata practices etc. https://sharing.nih.gov/data-management-and-sharing-policy/data-management
Hero Database with Racial Equity Resources collated from the National : https://hero.epa.gov/hero/index.cfm/project/page/project_id/3611
https://nationalequityatlas.org/ The National Equity Atlas is America's most detailed report card on racial and economic equity.
Data Ethics/Data Sovereignty
GovOps medium article on Data Ethics (https://medium.com/caldata/practical-data-ethics-summary-of-what-were-learning-24d0e9d89cd0)
Federal data ethics framework (https://resources.data.gov/assets/documents/fds-data-ethics-framework.pdf)
Operationalizing the CARE and FAIR Principles for Indigenous data futures:
https://www.nature.com/articles/s41597-021-00892-0
The Data Ethics Canvas is designed to help identify potential ethical issues associated with a data project or activity. It promotes understanding and debate around the foundation, intention and potential impact of any piece of work, and helps identify the steps needed to act ethically: https://directory.civictech.guide/listing/the-odis-data-ethics-canvas
Ethics Framework (CalData): https://medium.com/caldata/practical-data-ethics-summary-of-what-were-learning-24d0e9d89cd0 ; Framework at a Glance: https://drive.google.com/file/d/14Hl6i2w3CImqrzLLYuB27PFD6DNdzdHX/view
FAIR data principles for community centered data formats: https://www.nature.com/articles/s41597-022-01606-w Research practices documents related to using data for equity - working with communities to find data to use in equity work, and how to best collect and use demographic (ethnic and racial equity, sexual orientation, and gender identity data, specifically).
Article - Mapping for Whom? Communities of Color and the Citizen Science Gap: https://acme-journal.org/index.php/acme/article/view/2178/1654
Global Indigenous Digital Alliance guidance on using CARE principles for Indigenous data governance: https://www.gida-global.org/care
At the most basic level, taking an equity lens in Data Wise involves having a team ask itself probing questions at each step of the improvement process. This document provides a look at how to use a data wise techniques with a racial equity lens. https://www.ascd.org/el/articles/looking-at-data-through-an-equity-lens
"collecting/using demographic data" - https://www.urban.org/sites/default/files/publication/103830/five-ethical-risks-to-consider-before-filling-missing-race-and-ethnicity-data-workshop-findings_0.pdf
Other State Examples
City of Portland Racial Equity Toolkit: https://www.portlandoregon.gov/oehr/71685
State of California Guidance
Governor Executive Order on Racial Equity: https://www.gov.ca.gov/wp-content/uploads/2022/09/9.13.22-EO-N-16-22-Equity.pdf?emrc=c11513
CalTrans: CONSIDERING EQUITY IN COMMUNITY IMPACT ANALYSIS FOR PROJECTS https://dot.ca.gov/-/media/dot-media/programs/environmental-analysis/documents/ser/equity-guidance-a11y.pdf
Document showing how a team at the Water Boards used last year’s Governor proposed budget (January budget) to derive challenge questions: https://docs.google.com/document/d/18kJKTQjR39_PhLLQXejKZcuZAY5sD4dFNpV9bfAtqKA/edit?usp=sharing
OEHHA whitepaper on CalEnviroScreen 4.0 and how race and ethnicity is analyzed within that tool and the CES score correlations.
https://oehha.ca.gov/media/downloads/calenviroscreen/document/calenviroscreen40raceanalysisf2021.pdf
(Internal at this point) CDFW and CNRA resource: Web-based tools REPORT DRAFT 2.17.23.docx
Equity in the State Revolving Fund use for infrastructure: https://www.policyinnovation.org/publications/a-fairer-funding-stream
Internal ORPP guidance on vulnerable communities
Vulnerable Communities FlowChart Brainstorm Draft 4.6.22 (1).docx
HiAP Workgroup of Strategic Growth Council report: "Identifying Governmental Public Health Systems Barriers and Facilitators to Complying with and Expanding Race
and Ethnicity Data Disaggregation Standards"
RWJ-Croal-Data-Equity-FINAL-3-31-22 (1).pdf
Private Industry
ESRI GIS Metadata guidance
Extend_the_Reach_of_Your_GIS (1).pdf
Additional best practices from Esri on improving the quality of content within a Hub site. Also worth noting that ArcGIS Online comes some general categories that are derived from ISO and INSPIRE. Those could be good starting points, but my hunch is that you’re going to want to add additional categories to better support filtering and finding the right datasets.
MN DOT Governance and Best Practices: A tailored document like this would be useful to encourage contributors to follow the same guidelines and understand which groups or tags need to be added for the data to be ingested properly.
MnDOT Governance and Best Practices and User Requirements (1).docx
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. |
The resources and other information that would be worth incorporating in my opinion would be in this One Note section Web Resources for Guidance and Best Practice (Web view)