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Introduction to Open Data

Summary

A half-day course covering the basics of open data, it’s key features, and how it enables government to better meet the needs of citizens. Includes a hands-on analysis exercise.

Presented as part of the [DCAS Expo 2016](2016 NYC DCAS Expo). Slides are available here. Code is available here.

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Target Audience

City employees and other key stakeholders who wish to know more about open data, including key features and issues in making data available to the public.

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Course Overview

As the primary users of open data, city employees often have questions about the uses and issues around open data. With the growing trend towards making an ever-increasing amount of data available to the public, it's important city employees at all levels understand the opportunities and challenges of open data. This course introduces participants to the idea and practice of open data with a discussion of the history of open data, the nature of open data, examples of how open data has been used to help cities be more responsive to their citizens, and examples when open data has been abused. The course offers city employees the opportunity to ask questions about open data, explore open data portals, and get hands-on experience working with open data in a basic exercise.

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Goals

  • Discuss the history of open data
  • Discuss the main elements of open data
  • Discuss important tools when working with open data
  • Discuss meaningful uses of open data in city operations
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Key Takeaways

  • Participants will understand the definition of open data
  • Participants will be aware of key features of open data
  • Participants will understand key issues around open data, including security, privacy, and confidentiality
  • Participants will be familiar with how to access data in open data portals
  • Participants will have practice working with open data to answer operational problems
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Schedule

  • Welcome and Introduction
  • History of Open Data
  • Definition of Open Data
  • Benefits of Open Data
  • Concerns with Open Data
  • Open Data Sources
  • Open Data Tools
  • Examples of Open Data Projects
  • Break (10 mins)
  • Open Data Portal Exercise
  • Wrap-up and Course Evaluations
  • Dismissal
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