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Data Sharing Guidance for Public Transit Agencies—Now and in the Future (2020) / Chapter Skim
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Chapter 6 - Major Challenges
Pages 49-53

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From page 49...
... 6.1  Internal Data Management Structure and Protocols The majority of the transit agency interviewees identified a lack of coherent organizational structure for managing data internally as well Data Silo Problem as for data sharing. Interviewees noted that data was collected and stored across a variety of divisions or groups within the transit agency, Transit agencies discussed challenges and responsibilities for data sharing were therefore also spread across with data being stored and managed in staff in different parts of the organization.
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From page 50...
... Most transit agency interviewees indicated their agencies do not have staff or divisions dedicated to data management, which means staff have other priorities. Those transit agencies that most actively analyze data internally tend to be most well-equipped, both technically and organizationally, to prepare data for sharing.
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From page 51...
... . Although these rules do not apply in the United States, transit agencies should consider the possibility that laws around individual data will change, and specifically consider mechanisms in which individuals can give the transit agency permission to use their data as part of the data collection process.
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From page 52...
... The Los Angeles DOT has developed an emerging sharing data standard called Mobility Data Specification (MDS) which serves as a model for data sharing policy between cities and the private sector.
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From page 53...
... Public Records Requests and Access to Data Private sector interviewees cited that protecting user privacy was the most common concern about providing data to transit agencies. They are also concerned that, under state public records laws, the shared data from these private companies' users could fall into the public domain, violating their customers' privacy.
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Key Terms

  • transit agencies
  • data sharing
  • agency interviewees
  • data standards
  • smart card

  • smart cards
  • public transit
  • centralized data
  • card data
  • data requests

  • private companies
  • interviewees noted
  • interviewees identified
  • sharing data
  • providing data

  • data standardization
  • data repository
  • data internally
  • maintenance data
  • individual data

  • sector interviewees
  • fare collection
  • major challenge
  • developed standards
  • utility sector

  • electric utility
  • collection processes
  • external organizations
  • external guidance
  • transit data


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