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Track: Database Design and Automation
Andrea Keilholz
MRJ Technology Solutions
10560 Arrowhead Drive
Fairfax, VA 22030
Telephone: 703-277-1330
Fax: 703-385-4637
E-mail: acunning@mrj.com
Roger Browning
A Process for Verifying and Validating Third Party Produced Complex, Large-Scale Vector Maps
Defining Issue: When an organization contracts with a third party service vendor to vectorize topographic maps, they are faced with the issue of verifying the data through an independent verification and validation team. GIS Solution: The authors are part of an IV&V team that has been contracted and tasked to ensure the quality of the data produced and that the data meet required Vector Product Format (VPF) standards and specifications. The authors have developed and refined the process for evaluating vector topographic maps. This includes IV&V of geographic registration, data structure, attribute values, feature omission and feature representation, and coincidence between features implementing both manual and automated means. Methodology: A quality assurance process has been developed to streamline the steps and time necessary to perform 100 percent quality assurance as required by the client. These steps are fully documented in a quality assurance flowchart and consist of a series of manual ArcView
Version 3 and ArcInfo reviews, automated AML validation processes, and verification checklists at each stage of the QA process. Data sets are required to pass a number of prerequisites before the data move to a major inspection stage. This prerequisite stage, called Initial Quality Assurance (IQA), occurs immediately following receipt of data from the production contractor. After a data set passes IQA, it is ready for the next major stage of IQA. When errors are identified in a QA stage, they are documented on discrepancy reports (DRs), and are sent to the vendor to aid them in their corrections. Upon the data set's return, and where subsequent approval is granted, the data set goes into an acceptance process. When the client is fully satisfied, the data vendor is notified of acceptance and is issued payment for the data.
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