Is your data equitable?

The UCLA Data Equity Center offers resources and technical assistance to help you achieve your goals to ensure that your data is representative and inclusive and reflects collaborative efforts with the communities you serve to address their needs.
 

Topics
Resource Type
Guide

Oregon Health Authority, Equity and Inclusion Division

Race, Ethnicity, Language, & Disability (REALD) Implementation Guide

Marjorie McGee

The purpose of this guide is to provide in-depth information to facilitate implementation of the Race, Ethnicity, Language, and Disability (REALD) demographic data collection standards. This guide also includes information to support analysis and reporting of REALD data.

Presentation

Office of Management and Budget (OMB)

OMB’s “Trust Regulation” A proposed rule on the Fundamental Responsibilities of Recognized Statistical Agencies and Units

Karin Orvis, Kerrie Leslie, Bonnie Ghosh-Dastidar

The Office of Management and Budget published a proposed rule on August 18 with potentially substantial positive ramifications for the Federal statistical system. Orvis and Leslie will overview and respond to questions on the regulation, which is key milestone in implementing Title III of the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act). 

Publication

Urban Institute

Collection of Race and Ethnicity Data for Use by Health Plans to Advance Health Equity

Jennifer M. Haley, Lisa Dubay, et al.

Race and Ethnicity

Describes literature review of health plan collection of race and ethnicity data and stakeholder suggestions for improving collection.

Journal Article

Why Are We Going Backward? Barriers to Disaggregated Racial Information in Federal Data Sets

Armaan Jamal, Malathi Srinivasan, et al.

Race and Ethnicity

Discusses barriers in accessing disaggregated racial/ethnic data in federal data sets and identifies opportunities to expand availability of data

Presentation

Robert Wood Johnson Foundation (RWJF)

Charting a Course for an Equity-Centered Data System

National Commission to Transform Public Health Data Systems

Presents the recommendations and calls to action to advance data systems across public and private sectors to improve health equity.

Webpage

Robert Wood Johnson Foundation (RWJF)

Transforming Public Health Data Systems

Gail O. Christopher, Ninez A. Ponce, et al.

Summary of recommendations from the full report Charting a Course for an Equity-Centered Data System.

Publication

Understanding the Culture of Health for Asian American, Native Hawaiian and Pacific Islanders (AANHPIs): What Do Population-Based Health Surveys Across the Nation Tell Us About the State of Data Disaggregation for AANHPIs?

This report reviews findings from a national study on data collection, processing and dissemination practices for population health surveys, identifying barriers to disaggregating certain groups and providing recommendations to improve the availability of subgroup data.

Publication

National Institute of Standards and Technology (NIST)

Artificial Intelligence Risk Management Framework

Artificial Intelligence (AI)

Describes NIST framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI).

Presentation

Office of the National Coordinator for Health Information Technology

Overview Information Session HTI-1 Proposed Rule

Artificial Intelligence (AI)

Describes proposals in the "Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing“ proposed rule.

Publication

Flexibilities and Best Practices for Implementing the Office of Management and Budget’s 1997 Standards for Maintaining, Collecting, And Presenting Federal Data on Race and Ethnicity (Statistical Policy Directive No. 15)

Office of the Chief Statistician of the United States, White House

Compliance

Describes flexibilities of and best practices for collection of race and ethnicity data in compliance with OMB 15.