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Pages 9-23

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From page 9...
... 9 The focus of this synthesis was on the governance and tools used to manage transit service data, also referred to in the literature as "ITS data" (Strathman et al.
From page 10...
... 10 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data For most transit modes, the data creation and collection tools used for transit planning and operational performance include Scheduling -- Using stop (and right-of-way) locations, generating the planned trips, and vehicle and operator work.
From page 11...
... Literature Review 11 Cevallos and Wang (2008) noted that after investing in an expensive transit technology, many transit agencies find that they either do not have the necessary resources or lack the technical knowledge needed to store, analyze, and interpret such extensive data.
From page 12...
... 12 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data more so as Location-Based Service (LBS) data, that is, a large volume of geocoded, time series data sets.
From page 13...
... Literature Review 13 including references to bus stops, routes, runs, and buses that were stored in separate planning and operational systems. They may generate duplicate location information for their operational systems (AVL, APC, or AFC)
From page 14...
... 14 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data by applying data management methods and practices using tools adopted by other industries. However, industry best practices related to data management have not been promulgated or researched to any major extent.
From page 15...
... Literature Review 15 include managing data for strategic, tactical, operational, and performance decision-making purposes. As shown in Figure 1, the TIDES model presents the information flow from bus source systems as it progresses through the various curation processes.
From page 16...
... 16 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data Body of Knowledge (DMBOK) (edited by Earley et al.
From page 17...
... Literature Review 17 services integration, data modeling, and information quality and semantics." The MDM enforces the data requirements implemented in the database schema through procedures developed to clean, validate, quality check, and integrate data. The MDM processes generate the SOR or single version of truth.
From page 18...
... 18 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data provide information on lineage, collection, quality, integration, and aggregation processes applied to the data, but only if the information about the data is discovered and accessed. To that end, metadata also requires processes for creating, storing, and accessing data.
From page 19...
... Literature Review 19 Common to these challenges are establishing clear roles for data management, policies for providing access, and resources needed to manage data. These challenges are also echoed by transportation and transit agencies.
From page 20...
... 20 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data The FDOT ROADS framework was established by implementing several basic initiatives: • Applications and Reporting Inventory -- a listing of internal/external applications and other information assets used across the agency. • Data Governance Checklist -- a quick-reference guide for data governance considerations in transportation technology projects.
From page 21...
... Literature Review 21 Involvement of executives provides oversight, and accountability to the organization is critical to data governance, which was promoted as a lesson learned in a recent case study by Data Governance and Data Management Case Study (Green and Lucivero 2018)
From page 22...
... 22 The Transit Analyst Toolbox: Analysis and Approaches for Reporting, Communicating, and Examining Transit Data In his book, Non-Invasive Data Governance, Robert Seiner (2014) asserted that many organizations fail in implementing data governance because while it formalizes "discipline (behavior)
From page 23...
... Literature Review 23 • Most survey respondents described the following as major factors in limiting progress toward implementing data governance: (1) lack of staffing, (2)

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