Information Quality Assessment Software

Information Quality Assessment Software and Services

Client

USDA Forest Service, Washington Office

Project Highlights

  • Worked in direct partnership with Forest Service staff to create use cases, prepare technical solution alternatives, and prepare the detailed design specification. Full-life-cycle development services including design and build, testing, user technical support and maintenance services were performed.
  • Integration of DataQE, a commercial data quality evaluation tool provided an innovative and cost-effective solution to meeting budget goals. The Forest Service has since purchased an enterprise license of the DataQE software.
  • Continues to provide technical user support and maintenance services.
  • Utilizes FS GIS Data Dictionary and other protocol standards.
  • DataLOGIC met schedule requirements and the project was performed within budget.

Case Description

As part of their Standard Data Management initiative, the USDA Forest Service desired an application that could be used to query standard GIS layers throughout the agency and generate reports on compliance with national data standards, including the agency’s GIS data dictionary. To meet this need, DataLOGIC was requested to design and develop an application that evaluates the data quality of several standard GIS layers and generates performance measure statistics that are used for upward reporting to meet agency, departmental and Office of Management and Budget (OMB) requests.

The Information Quality Tool (IQT) is an automated data quality evaluation tool that operates from a central server to query and evaluate data stored on individual GIS data servers across the country and at the USDA National Information Technology Center (NITC) enterprise data center for compliance to national standards. IQT utilizes DataLOGIC’s commercial DataQE software to perform data quality evaluations of standard GIS layers against national data dictionary standards for each forest in the agency; the results of these evaluations are then processed and summarized by IQT to calculate performance metrics for each forest and business unit.

DataLOGIC designed the IQT application based on business and functional requirements established by the Performance Accountability System (PAS), which tracks performance measures for various business areas within the agency. DataLOGIC prepared system use cases from the system requirements, and then prepared an application architecture and database/application design that would allow for automated evaluation of the various standard data layers located on individual forest servers across the country.

The applications were built within a desktop environment and transitioned to the Project Hosting Environment (PHE) in Albuquerque, New Mexico, for performance testing, packaging of the applications for deployment to the Application Hosting Environment (AHE); completion of appropriate Application Release Notics, such as the TLQ-1189 and TLQ-1190, as required; and completion of the Certification and Accreditation (C&A) process, which included the System Security Plan (SSP).

IQT and DataQE were released to the Application Hosting Environment (AHE) as enterprise applications upon completion of the SSP and C&A process. IQT and DataQE applications were developed to integrate within the ESRI ArcGIS 9.3.1 framework. As the Forest Service moved ahead with the implementation of an upgrade to ArcGIS10, both applications required upgrades to support the new system requirements. To make these changes, DataLOGIC followed the same types of procedures that were implemented during the original development and deployment process, as required. IQT and DataQE are currently delivered to users using Citrix XenApp; data and product software are located within the Forest Services Application Hosting Environment located at USDA NITC. The Forest Service has requested that DataQE be extended as a web-based application.

Client Satisfaction Highlights

  • The agency was very satisfied with the quality of services offered.
  • There were no cost overruns.
  • All schedule requirements were met.
  • IQT and DataQE followed industry best practices and utilized our standard system development life-cycle process.
  • IQT and DataQE were aligned to the USDA FS Enterprise Architecture (Business, Data, Technology, Security, and Applications).