Open Data: Challenges and Opportunities for Transit Agencies (2015) / Chapter Skim
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Pages 69-74
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From page 69... ...
70 • The top four reasons for not providing open data are: – Too much effort to produce the data/not enough time or people to do the work required; – Too much effort to clean the data; – Concern that the agency cannot control what someone will do with the data; and – Concern regarding the accuracy of the data. KEY FINDINGS In summary, based on the literature review, the responses to the questionnaire, and the case examples, there are four key findings of this synthesis project: 1.
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71 2. Engaging application developers, other data users, and customers is an approach that can accomplish several critical tasks, including: • Obtaining feedback on data anomalies and data quality issues; • Ensuring that some portion of the applications developed by third parties meet the needs of customers; and • Learning more about how people want to use/ reuse agency data.
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72 for missing or incorrect data. Almost 60% (16 responses of 27)
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73 – Start small in terms of the amount of open data offered and then grow that when confident of data quality of new sources/data sets – Ensure data are compatible with or identical among the different formats in which they are made available • Cost of open data – Staff to support an open data program is needed to implement such a program – Use standards to make it easier to provide open data – Select a technology vendor that supports open data or require it in the contract with the vendor • Organizational and institutional effects, including changes within and external to the agency – Agencies have to get comfortable with providing data when they are accustomed to providing only transit service. – Open data will not solve every customer requirement.
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74 of transit data, as reported extensively in the literature. Further, even vendors with proprietary products have developed "translators" that reformat the data within their software to one of the standard formats.
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75 • Visualization and other open transit data tools. There is an evolution of tools that use open data to visualize important aspects of transit operations (e.g., performance)
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