Module 1	Overview	Unit 1 Overview
Module 2	Introduction	Unit 1 What is the Data Modernization Initiative?	Unit 2 Modernization at the Health Department
Module 3	Instructions	Unit 1 How to use this Toolkit
Module 4	Establish a Data Modernization Team	Unit 1 Establish a Data Modernization Team
Module 5	Engage Partners	Unit 1 Engage Partners: Overview	Unit 2 Step 1: Identify Partners	Unit 3 Step 2: Plan Partner Communication (strategic outreach)	Unit 4 Step 3: Conduct Outreach
Module 6	Make the Value Case	Unit 1 Make the Value Case: Overview	Unit 2 What is a Value Case?	Unit 3 Why Create a Value Case?
Module 7	Build Strategic Sustainability for Data Modernization	Unit 1 Build Strategic Sustainability for Data Modernization: Overview	Unit 2 Technology Development and Acquisition	Unit 3 Workforce Development	Unit 4 Process and Procedures	Unit 5 Funding
Module 8	Assess Current State and Opportunities	Unit 1 Assess Current State and Opportunities: Overview	Unit 2 Understand the Data Life Cycle	Unit 3 Find Ways to Create Redundancy	Unit 4 Assess Governance and Policy	Unit 5 Review DMI Self-assessment Results	Unit 6 Catalogue Potential Data Modernization Projects
Module 9	Prioritize Projects	Unit 1 Prioritize Projects: Overview	Unit 2 Prioritization Process	Unit 3 Who Should Prioritize?	Unit 4 Prioritization Criteria
Module 10	Develop the Plan	Unit 1 Data Modernization Plan
Module 11	Implement	Unit 1 Implement: Overview	Unit 2 Project Management	Unit 3 Change Management
Module 12	Immunization Information System (IIS) Modernization	Unit 1 IIS Modernization Overview	Unit 1 IIS Modernization Alignment with Broader Data Modernization Activities	Unit 1 IIS Modernization in Practice
Module 13	Data Modernization Appendices	Unit 1 Appendix 1: CDC Data Modernization Roadmap	Unit 2 Appendix 2: Data Modernization Planning and Implementation Checklist
Module 14	Data Modernization Planning Resources	Unit 1 Data Modernization Planning Downloads

What is the Data Modernization Initiative?

Public health needs data that can move faster than disease. Every system needs to communicate in real time—from local communities, to states, to national and global networks—to stay ahead of the next emerging threat. Legacy, antiquated public health systems limit the efficiency, timeliness and sharing of quality data necessary to positively impact population health. Restructuring those systems to integrate the latest technologies and approaches is a key factor in accelerating public health surveillance.

The Data Modernization Initiative (DMI) is a Centers for Disease Control and Prevention (CDC)-led effort dedicated to unlocking the full potential of data for disease detection and elimination. It is the first comprehensive strategy focused on modernizing data, technology and workforce capabilities to facilitate public health decision-making and deliver timely public health services. The ultimate goal of this initiative is to ensure data is at the forefront and is a driving force behind public health action, guiding decisions efficiently, flexibly, rapidly and with impact.

CDC’s DMI initiative addresses key questions:

How can timeliness and quality of data be improved?
How can data activities and systems be better coordinated?
How can the burden on data partners be reduced?

Resource: Data Modernization 101 training

The Council of State and Territorial Epidemiologists (CSTE) developed an 80-minute introductory-level training course to support epidemiologists and public health professionals in understanding the how and why behind the modernization of public health data systems.

Resource: About Public Health Data Modernization and Informatics

The Association of State and Territorial Health Officials (ASTHO) developed a website to introduce the concept of data modernization in public health with links to additional resources, such as primers and in-depth tactical guides.