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Facilitated Courses → Data Management - Current/Upcoming

Data Management: Quality and Standards (DM 202.06)


Description
INSTRUCTOR-FACILITATED ONLINE COURSE
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START DATE: July 09, 2021 END DATE: August 06, 2021
REGISTRATION ENDS: Tuesday, June 30, 2021

Important Dates and Notes:
- Duration: 4 Weeks
- Expected time commitment: up to 5 hours per week, on average
- Kick-off virtual live session: Friday July 09, 2021 and Time: 11 A.M. ET
- Weekly virtual live session: Every Friday at 11 A.M. ET starting July 09, 2021. 1 hour each week during the course
- Check our FAQ for more details: https://govex.academy/faq
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This online, instructor-facilitated 4-week course developed by the Center for Civic Impact at Johns Hopkins University will teach you to recognize the components of data quality, identify common quality issues, and learn methods and practices for improving data quality. In addition, we will discuss the necessary building blocks, use cases, and methods for evaluating and employing effective data standards.


By the end of this course, you will be able to:
- Recognize common data quality issues
- Explore government datasets for common data quality issues
- employ popular data standards
- Improving data quality and implementing data standards

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This is an online, instructor-facilitated 4-week course developed by GovEx Academy, part of the Centers for Civic Impact at Johns Hopkins University. Check our FAQ for more details.
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If your city is a part of What Works Cities, you may take this course for free. If you don’t know your city’s WWC access code, please email govexacademy@jhu.edu.
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This course aligns with the What Works Cities Certification Criteria focused on Performance Analytics. The full list of criteria can be found here >>> https://medium.com/what-works-cities-certification/what-works-cities-certification-assessment-guide-5c514f1dff1b
Content
  • About the course
  • Welcome to the Course!
  • Meet Your Instructor
  • Video: How to Navigate the Learning Management System
  • Course Assignments and Due Dates
  • Synchronous Sessions: Schedule and How to Join the Session
  • Course Kickoff
  • Kick Off Synchronous Session (Friday)
  • Week 1 - Understanding the Importance of Data Quality
  • Week 1 Synchronous Session (Friday)
  • Week 2 - Assessing Open Datasets for Quality Issues
  • Week 3 - Understanding Data Standards
  • Week 3 Synchronous Session (Friday)
  • Week 4 - Implementation Strategies
  • Week 4 Synchronous Session (Friday)
  • Final Assignment Submission 31d
Completion rules
  • All units must be completed
Prerequisites