Guidelines for establishing and maintaining construction quality databases.
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2006-11-01
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Edition:Final report; Oct. 2005-Sept. 2006.
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Abstract:The main objective of this study was to develop and present guidelines for State highway agencies (SHAs) in ; establishing and maintaining database systems geared towards construction quality issues for asphalt and ; concrete paving projects. To accomplish this, a literature search and review was performed on the subject ; matter, followed by a survey of construction quality practices at nine States and a more detailed review of ; practices at four of those nine States. ; Information collected from the survey responses and the in-depth interviews provided insight into the multiple ; databases maintained by the agencies, the data categories stored, the analyses performed, links to other State ; databases, and the reports generated. Results indicated that the nature of information collected, the level of ; detail in the process, and the length over which this information is retained, differ significantly from agency to ; agency. In addition, the current systems differ considerably in their architecture, purpose, data collection and ; access procedures. ; On a broad scale, it was learned that agencies are somewhat “data rich and information poor” and that agencies ; are “mostly focused on entering, not retrieving data.” Also, because of poor linkages between construction ; quality and pavement performance and cost data, there is very limited ability to “close the loop” by showing ; how improvements in specifications and construction affect performance and life-cycle costs. ; In addition to documenting these and other observations and findings, this report presents a detailed description ; of the features and capabilities of the ideal construction quality database. It also provides illustrative examples ; of how the ideal database can be used to improve the overall quality of highway pavement projects. The ; recommended database is a web-based system with client server architecture. It is comprised of the following ; four main modules, each of which are described in detail in the report: ; 1. Database Server Module. ; 2. QA Data Input Module. ; 3. QA Management Module. ; 4. Data Translation (Referencing) Module.
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Main Document Checksum:urn:sha-512:442e94307b6e2975b4d67c3c2469360a75bc56316e4409a713d3fedec9dd263ecdedfde5d358dde3f0b104c96f8eadc02ebb746e728f462518133bae0c21d363