Data Management encompasses a set of coordinated activities for maximizing the value of data to an organization. It includes data collection, creation, processing, storage, backup, organization, documentation, protection, integration, dissemination, archiving and disposal. Read more…


Implementation Steps

Data management is broken down into five subcomponents:

  • Data Quality: Processes and organizational functions to ensure data is accurate, complete, timely, consistent with requirements and business rules, and relevant for a given use.
  • Data Accessibility: Processes and organizational functions to provide access to key data sets.
  • Data Standardization and Integration: Processes and organizational functions to integrate and compare data sets as needed to support transportation performance management.
  • Data Collection Efficiency: Efforts to maximize use of limited agency resources through coordination of data collection programs across business units and with partner agencies.
  • Data Governance: Establishing accountability and decision making authority for collecting, processing, protecting, and delivering data.

Making the Connection

Data Management (Component C) supports all agency transportation performance management activities. Because TPM depends on measuring performance, data collected through measurement must be accurate, usable, and available to be analyzed to support management decisions to improve performance results.

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The Data Management chapter contains three sections:

Keep reading the complete Component C: Data Management…

What it Takes

Reliable and consistent data provide a foundation for TPM, informing decisions about how to best use available resources to maximize performance. Data management practices require coordinated agency-wide planning in order to collect, store, and provide data most efficiently and effectively. Although many agencies are “data rich” and “information poor,” improved data management practices can enhance abilities to use the data and become “information rich.” Practices can be employed both agency-wide and within business units, as well as between agency partners. Cross-agency collaboration can create standardized data elements for aggregation and reporting.

The five data management subcomponents are interrelated. Data governance is the mechanism by which data quality, accessibility,and standardization are achieved. Coordinated data collection supports data standardization, and data standardization and integration efforts facilitate centralized access to data. Thus, a comprehensive approach to data management is critical.