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GITA 1997


User Project Presentations


Quality control for land base and facilities conversion


Lessons Learned
  • A significant investment of time must be expended in the quality control process. Time estimates used for planning quality control activities are (per map sheet):

    Digital Orthophoto Check Plot -30 minutes
    Planimetric Check Plot -90 minutes
    Topo Check Plot -30 minutes
    Water System Check Plot -180 minutes
    Sewer System Check Plot -180 minutes
    Planimetric, Topographic, and Digital Orthophoto Digital QC -90 minutes
    Water System Digital QC -120 minutes
    Sewer System Digital QC -120 minutes

  • There area variety of options that an organization can consider when planning the logistics of conducting quality control during a large data conversion project:

    Contract out all quality control work
    Complete in-house quality control
    Split QC responsibility with a contractor
    Contract out QC management, QC staff training, and QC application development

    The choice depends on the amount of money that can be spent on such an endeavor and the flexibility an organization has in terms of hiring. The more QC there is conducted in-house the less expensive the QC will be, but there will be requirements for hiring a QC manager or assigning those duties to an existing employee. The QC duties will take the QC manager away from most other work until the period of data conversion is over (anywhere from 1 to 3 years or more). QC technicians will also need to be hired. It is suggested that there be significant in-house GIS expertise if complete in-house QC review is planned by an organization.

    The other options are varying degrees of using contractors. If the organization feels it can provide technical staff, but needs expertise, contracting out QC management, training and application development can be effective. Splitting QC responsibility with a contractor is appropriate when an organization feels it can only commit portions of their staff members time. Finally contracting out all QC work, can be effective when an organization has restrictions on hiring and does not have the existing personnel to carry out the necessary steps.

  • Development of a database design is extremely important and should be understood by both the QC reviewers and the conversion contractor. An initial pilot project should be conducted that tests the adequacy of the database design. The pilot project should result in a database design that has been updated to reflect all changes necessary to accommodate unforeseen circumstances. Also, a formal procedure should be developed for proposing and accepting changes to the database design during the compilation and conversion process.

  • A large data conversion project results in the generation of a great quantity of hard copy plots that need to be kept in an organized fashion. When planning for quality control, provisions must be made for storing plots in a manner that allows el%cient retrieval by delivery group and status. Often there will be check plot deliveries for a delivery group during the same time period that the contractor is submitting confirmation plots with accompanying check plots from a previous delivery group. It is important for the sake of efficiency to be able to store them all separately. Several methods for tracking quality control must be implemented. A digital quality control application that color codes map sheet tiles according to the acceptance status, scheduled delivery date, delivery group, and staff member assignment is extremely helpfid. This provides a quick way to generate graphic status reports. Other aspects of quality control tracking involve developing transmittal sheets, and a quality control log.
Conclusions
Data conversion is a complex task and requires careful planning and management. A comprehensive workpkm should be developed which outlines what features are to be captured, how they are to be captured and represented and coded, and what attributes are to be recorded. A pilot project can resolve these problems early in the conversion effort and can serve as a guideline for a full scale conversion process. A mechanism for maintaining communication between the contractor and client for identification of any anomalies in the source materials, situations not taken into account by written specifications, or errors in data conversion throughout the conversion process should be developed. Once a problem is identified, the contractor and the client should work together to resolve the problem. The accepted resolution should then be used to modifi the workplan for the data conversion. QC should not be thought of as merely “catching contractor mistakes”. While the primary purpose of carrying out QC procedures is to identifi and correct errors in delivered products, the QC process serves many fimctions:
  • Quality control insures that the digital database is complete in its content of graphic features and associated attributes.
  • Quality control familiarized users at the Commission with their digital database and its uses. Carrying out quality control procedures provides an opportunity to identi~ anomalies in source documents and to correct them.
  • Digital quality control familiarizes users at the Commission with their GIS software and its capabilities.
  • Quality control develops a level of confidence in the digital database among users at the Commission.
Boston Water and Sewer Commission Land Base Conversion Quality Control Process



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