Data Management and Governance Practices (2017) / Chapter Skim
Currently Skimming:
Pages 3-6
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 3... ...
3 Background Data-driven processes and technological advances have led to a steady increase in the amount and complexity of data collected and maintained by state departments of transportation (DOTs) and local transportation agencies, such as municipalities and metropolitan planning organizations (MPOs)
|
From page 4... ...
4 • Phase 2 -- This follow-up survey focused on detailed practices pertaining to: – The extent to which data quality is evaluated by transportation agencies. – Data integration and sharing, including data sets that are integrated or would be beneficial to integrate, consistency of location referencing systems within agency, strategies for improving data sharing and access, and methods for sharing data with outside users (public or private entities)
|
From page 5... ...
5 Three state DOTs (Alaska Department of Transportation and Public Facilities, Nebraska Department of Roads, and Iowa DOT) and one local agency (Chicago Metropolitan Agency for Planning)
|
From page 6... ...
6 • Data archiving: The process of moving electronic data that are no longer actively used to a separate storage device for long-term retention (Spy Pond Partners, LLC and Iteris, Inc.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.