Consists of two separate steps: (1) Standardization; (2) - Geocoding
-Standardization: Standardizes - data fields (including record - name, date of birth, phone number, and geolocation) - based on - preset defaults to ensure consistency
-Geocoding: Enriches - data by providing precise geographic - locations based on patient street addresses from input - data
-- Mission -
-- Our mission is to get better, faster data to public - health departments so - that they can take timely public health action. Our work - contributes to - - CDC's public health data strategy - - and mission to develop a robust public health data - ecosystem. -
-- Vision -
-- By making disparate, complex data sources easier to use - and integrate, - we reduce manual work and help public health departments - devote more time to education, - prevention, and improving outcomes for their - communities. -
-- How we started -
-- The COVID-19 pandemic revealed that the U.S. needs to - significantly improve the collection, - analysis, and use of public health data. This requires - building a secure and scalable data - infrastructure to enable timely, complete data sharing - for public health action, - breaking down silos that keep critical data - disconnected, - and reducing the burden on jurisdictions for collecting, - processing, and reporting data. - -
-- In an effort to strengthen the U.S. public health data - infrastructure, - the CDC launched a multi-year collaboration with the - U.S. Digital Service called - the - - Pandemic-Ready Interoperability Modernization Effort - (PRIME) - . - The DIBBs team (formerly PHDI) was tasked with - developing and - providing access to open source, modular software and - tooling, known as - “Building Blocks,” that public health departments can - use to process and transform data. - -
-- - Our team has partnered with a variety of public health - departments to reduce - their manual data integration processes and solve public - health data challenges. - Thus far, our efforts have involved: - -
-- By developing a modular set of Building Blocks that - jurisdictions can easily integrate into existing data - systems, our work is helping to create a modern public - health data system that works for all diseases and - conditions — a system that will enable public health - agencies to deliver timely, relevant, and actionable - data. -
-- Read about our - - pilot project - - with the Virginia Department of Health. -
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- - - - -- Public health data is often messy, heterogeneous, and siloed, and - epidemiologists lack the tools and methods to efficiently turn it - into meaningful intelligence that can drive timely public health - action. -
- -- The Data Integration Building Blocks (DIBBs) team, - formerly known as the Public Health Data Infrastructure (PHDI) project, - develops open source, cloud-based tools that public health departments can - integrate into their current workflows to improve data quality and reliability. -
-- Automate your public health data processing so you can focus on taking meaningful public - health action -
-- Our interdisciplinary team of researchers, designers, and engineers works to solve your jurisdiction's data challenges - and integrate our flexible, modern tools into your existing workflows -
-- Improve the quality and completeness of your data -
-- Using a pipeline of modular software components known as Building Blocks, we validate, - clean, standardize, and enrich your data — all while reducing the need for manual processes -
-- Get the data that you need in the format that you want it -
-- We want to understand your unique data needs and assess how our tooling could make your data more usable -
-- We work with public health departments to solve their toughest data challenges -
-- Our team will respond to your questions or set up a time to discuss how we can support your work. -
-- Our products create a data architecture that is:{' '} -
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