Open Data: Challenges and Opportunities for Transit Agencies (2015) / Chapter Skim
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Pages 48-52
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From page 48... ...
49 The techniques used by the respondents to engage existing and potential data users and reusers are shown in Table 20. The most frequently used techniques are face-to-face events, followed by conferences and meetups.
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50 Types of Costs Associated with Providing Open Data Number of Respondents Percent Staff time to update, fix, and maintain data as needed 38 76.0 Internal staff time to convert data to an open format 35 70.0 Staff time needed to validate and monitor the data for accuracy 28 56.0 Staff time to liaise with data users/developers 25 50.0 Web service for hosting data 23 46.0 Publicity/marketing 12 24.0 Consultant time to convert data to an open format 11 22.0 Other: Contract management Cost to develop prediction software or use prediction Software as a Service (SaaS) Everything above is already done for internal purposes and it is all automated Investigation project agreement with the Faculty of Computing Sciences Consultant time to build editing tool License Routing service Mentz No additional costs are incurred.
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51 – More scrutiny because of increased visibility of data accuracy, including third-party users wanting zero downtime • Neutral Impacts – Thinking about data reuse versus public policies – Public awareness of what agencies are doing and how they are doing it. The impacts on the public sector (e.g., riders, community citizens)
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52 The impacts on the private sector (e.g., developers) were reported by survey respondents as follows: • Providing business/commercial and development opportunities, including new and expanded companies that could create a new eco-system of private entrepreneurs • Enabling innovation and the creation of applications • Providing data to cover new needs • Decreasing the need for agency to develop apps on a multitude of differing platforms, which would be costly to do internally or to outsource • Providing more visual information • Providing a broader reach for customers • Adding value to existing services • Private sector interacting with transit more comfortably because they know more about transit • Adding data by large trip planning services (Google, Bing, HopStop)
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53 • Open data are not free. – If you do not have staff to support open data (planning, engineering and maintenance, especially)
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