CalHHS Data Knowledge Base
CalHHS Open Data PortalCalHHS Geoportal
  • Data Knowledge Base
  • Data Sharing
    • Revision History
    • Data Sharing Guidebook
    • Lessons Learned
    • Data Sharing Plays
      • Play 1: Sharing Metrics
      • Play 2: Identify
      • Play 3: Business Case
      • Play 4: Prioritize
      • Play 5: Metadata
      • Play 6: Describe
      • Play 7: Promote
      • Play 8: Prepare
    • Data Element Definitions
    • Application Program Interfaces
    • Additional Training and Reference Materials
    • Business Case Creation
      • Determining Goals and Strategy
      • Implementation Details
      • Evaluating Outcomes & Impacts
      • Communicating Your Results
  • Data De-Identification
    • Revision History
    • 1. Purpose
    • 2. Background
    • 3. Scope
    • 4. Statistical De-Identification
      • 4.1 Personal Characteristics of Individuals
      • 4.2 Numerator - Denominator Condition
      • 4.3 Assess Potential Risk
      • 4.4 Statistical Masking
      • 4.5 Legal Review
      • 4.6 Departmental Release Procedure for De-Identified Data
    • 5. Types of Reporting
      • 5.1 Variables
      • 5.2 Survey Data
      • 5.3 Budgets and Fiscal Estimates
      • 5.4 Facilities, Service Locations and Providers
      • 5.5 Mandated Reporting
    • 6. Justification of Thresholds Identified
      • 6.2 Assessing Potential Risk – Publication Scoring Criteria
      • 6.3 Assessing Potential Risk – Alternate Methods
      • 6.4 Statistical Masking
    • 7. Approval Process
    • 8. DDG Governance
    • 9. Publicly Available Data
    • 10. Development Process
    • 11. Legal Framework
    • 12. Abbreviations and Acronyms
    • 13. Definitions
    • 14. References
    • Appendix A: Expert Determination Template
    • Appendix B: 2015 HIPAA Reassessment Results
    • Appendix C: State and County Population Projections
  • Open Data Handbook
    • Revision History
    • Open Data: Purpose
    • Disclosure
    • Governance
    • Guidelines
    • Use
  • Appendix
    • Glossary and Acronyms
    • Data Tools
    • Data Discovery Sessions
    • Data Sharing Benefits
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On this page
  • Internal CalHHS Strategies and Guides
  • Data Architecture and Sharing Reference Materials
  • Data Sources
  • Goal Setting
  • Introductory Statistics Tools
  • State of California Training and Materials
  • General Online Training Materials
  • Data Visualization (Beginner to Advanced)
  • Presenting your Data
  • Color Contrast Grid
  • Hemingway
  • Visualize Your Story

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  1. Data Sharing

Additional Training and Reference Materials

PreviousApplication Program InterfacesNextBusiness Case Creation

Last updated 4 months ago

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We hope you have learned a few new ideas and want to take your data-sharing journey beyond this Guidebook. This section provides references to data architecture resources to guide you as you continue your learning path. Some of these references were used in the creation of this Guidebook.

Internal CalHHS Strategies and Guides

If you are ever stuck, contact your Department’s data coordinator for information on how to find and exchange CHHS data.

  • CalHHS Information Strategic Plan

  • CalHHS Master Data Management Strategy

  • Data sharing materials:

    • CalHHS Data Sharing - Process Flow

    • CalHHS Data Sharing - Legal Agreement

    • CalHHS Data Sharing - Frequently Asked Questions (FAQs)

    • Business Use Case Proposal - Form

    • Business Use Case Proposal - Instructions


Data Architecture and Sharing Reference Materials

The list below provides links to reference materials on data architecture and data-sharing practices:


Data Sources

Public data resources are available from a number of online sources, including the federal government and non-profit organizations. Following is a partial list of select data resources that can help contribute to data projects and analyses.


Goal Setting


Introductory Statistics Tools

Here are some key concepts and help integrating them into Excel

State of California Training and Materials

This section provides links to online training materials for further study of data architecture practices.


General Online Training Materials


Data Visualization (Beginner to Advanced)

If you just need a quick chart or table, check out these online tools — they are simpler to use than the advanced data visualization guides and may be more appropriate for your specific project:

  • Google Charts (interactive charts & simple data tools)

  • DataWrapper (charts, tables, and maps)

  • Infogram (beginner-friendly, collaborative, focuses on design thinking principles)

More sophisticated guides are listed below:

Skill Level
Name
Description

Beginner

A suite of easy-to-use web tools for beginners that introduce concepts of working with data. These simple tools make it easy to work with data in fun ways, so you can learn how to find great stories to tell.

Beginner

This article summarizing general Data Visualization strategies and common methods used in different professions and sectors.

Beginner

Tableau’s Data Visualization for Beginners: a Definition & Learning Guide with helpful examples

Beginner-Intermediate

Kaggle’s Data Visualization Course teaches you how to implement some more basic, powerful data visualization techniques (line charts, scatter plots, and distributions) and how to choose the right one.

Intermediate

A visualization grammar, a declarative language for creating, saving, and sharing interactive visualization designs. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format and generate web-based views using Canvas or SVG.

Intermediate-Advanced

The Data Visualization Catalogue has a comprehensive list of charts that are separated by what data visualization function they employ.

Advanced

Data-Driven Documents D3 is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

All Levels

Coursera often has free online Data Visualization Courses — check to see if one is available!


Presenting your Data

Color Contrast Grid

Hemingway

Visualize Your Story

The focuses on data and information management and the advancement of the field.

The Findability, Accessibility, Interoperability, and Reusability () Guiding Principles were authored to provide data management guidelines and best practices.

The Centre for Agriculture and Bioscience International (CABI) provides online training for data-sharing practices.

Oracle’s Cloud Infrastructure Documentation’s explanation of roles, goals, and practices.

– A data-driven portrait of the American population, our government’s finances, and government’s impact on society that uses federal, state, and local data from over 70 sources.

– Dedicated to making high value health data more accessible to entrepreneurs, researchers, and policy makers in the hopes of better health outcomes for all.

- Provides information on the history, people, government, economy, geography, communications, transportation, military, and transnational issues for 267 world entities.

– Makes it easier to get access to publicly available FDA data. FDA’s goal is to make it simple for an application, mobile device, web developer, or researcher to use data from the FDA.

– A Knight News Challenge-funded project to make it easier for journalists to write stories using information from the U.S. Census bureau. Place profiles and comparison pages provide a friendly interface for navigating data, including visualizations for a more useful first look.

- A mapping tool that helps identify California communities that are most affected by many sources of pollution, and where people are often especially vulnerable to pollution’s effects.

- A tool to explore community conditions that predict life expectancy. It contains user-friendly mapping and data resources at the census tract level across California.

- Offers access to standardized data that can be easily retrieved, combined, downloaded, sorted, searched, analyzed, redistributed and re-used by individuals, business, researchers, journalists, developers, and government to process, trend, and innovate.

will help you create a use case diagram

will also help you create a use case diagram

For managers, are also a great framework for measuring performance relative to your goals.

Check out to learn what they are, why they work, and how to set effective KPIs

Data readiness: Harvard’s offers a useful template.

gives more specific data readiness guidance.

- This document is dense, but gives great insight into what you need to carry out a successful product.

A is a unique tool for state employees to access research and training materials. After applying for a State Library Card, you can access technical resources such as materials from O’Reilly for Higher Education.

Premier Advantage California eLearning is the Office of Professional Development’s eLearning offering for IT and business professionals.

The ) is a gateway to eLearning, books/videos, research, and the overall computing community. You can access the materials you need to develop your data management knowledge and forge connections with other professionals to advance the field.

Use the tool to test many foreground and background color combos for compliance with WCAG 2.0 minimum contrast.

Use a word editing app like to improve the readability of your writing. Hemingway will highlight lengthy or run-on sentences, remove overly dense writing, offer alternatives for weak adverbs and phrases as well as poor formatting choices.

Visualize your story with a storyboard (see MIT’s to finding a story in your data)

CalHHS Open Data Portal
CalHHS Open Data Handbook
CalHHS Data De-Identification Guidelines
U.S. Digital Services Playbook
Data Management Associate (DAMA)
FAIR
data-sharing toolkit
Data Architecture
USAFacts.org
Healthdata.gov
CIA World Fact Book
openFDA
Census Reporter
CalEnviro Screen
California Healthy Places Index
CHHS Open Data Portal
SMART Goal checklist
lucidchart.com
Visual Paradigm
Key Performance Indicators (KPIs)
this resource
Strategic Use of Data Self-Assessment Guide
Analytics Capability Assessment for Human Service Agencies
Roadmap to Capacity Building in Analytics
Central Tendency
Correlation
Paired t-test
Regression Analysis
Multiple Regression in Excel
Statistical Significance
State Library Card
PACe
Association for Computing Machinery (ACM
Color Contrast Grid
Hemingway
guide
databasic.io
Data Visualization Strategies
Tableau Data Visualization
Kaggle: Data Visualization
Vega
Data Visualization Catalogue
D3.js
Coursera