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The Storm Water Division ' s relationship with the recommended GIS Specialist in Engineering is <br /> crucial for the County ' s GIS implementation . Needs assessments for various <br /> departments/divisions throughout the County identified the interaction between the daily <br /> routines of the departments and the recording of infrastructure changes to the GIS through <br /> personnel in the Engineering Division . It is advised that the recommended GIS Specialist in <br /> Engineering produce and maintain the County ' s storm water infrastructure map data , <br /> working in close cooperation with the recommended GIS Director to address any data <br /> design or data acquisition issues . <br /> Additionally , It is recommended that the infrastructure data that is generated reside in the <br /> recommended County wide Enterprise GIS database offering . This platform will allow for a <br /> rich environment for the editing and viewing of Geo-spatial data and flexibility for versioning <br /> and concurrent multi-user access . <br /> = Engineering <br /> The Engineering Division has been generating and acquiring digital data for several years . <br /> The majority of data was created and remains in AutoCAD format . <br /> It is recommended that the Engineering Division convert existing CADD data , including as- <br /> builts, into an ESRI format such as an ArcGIS Geodatabase . A thorough quality control <br /> process must be conducted to determine the accuracy and validity of existing CADD data . <br /> ' ArcGIS includes tools in ArcToolbox for converting CADD data into a GIS format . The <br /> conversion process of CADD to ArcGIS is consumptive of time and personnel . It is <br /> recommended that the Division work with the recommended GIS Director to determine a <br /> .- viable solution to this process , such as to outsource the conversion to a third party . <br /> The next step is to perform a data audit to determine which features are missing and in what <br /> _ locations . There are three primary methods for collecting or creating geo-spatial public <br /> works data : <br /> 1 ) GPS <br /> 2) Heads- up digitizing from paper as- builts <br /> 3) Digitizing from aerial photography <br /> Of the three methods , digitizing is the least preferred , as no means of assigning attribute <br /> information is possible . GPS is the most efficient method for collecting new data and will <br /> allow the Department to quickly realize a return on investment. <br /> GPS Receivers and Data Collection <br /> As the Department moves forward with its GIS implementation , GPS data collection should <br /> be conducted for all surface point features for road and facility features . GPS data <br /> collection of all features should be spread out over the next three years . <br /> The complete collection and conversion of road and facility data typically requires a large <br /> investment in time and money . However, that investment will quickly lose its value if newly <br /> created datasets are not maintained . All new features that are installed or constructed , as <br /> well as changes to existing infrastructure, must be reflected in the digital database : spatial <br /> and attribute information must be captured immediately. <br /> a It is recommended that the Department conduct a cost/benefit analysis of internal vs . <br /> outsourcing GPS data collection . The primary advantage of internal data collection is the <br /> cost savings gained by not paying an outside contractor. Disadvantages include the cost of <br /> purchasing and maintaining GPS receivers and the extended period of time involved to <br /> 71 <br /> GIS Needs Assessment and Implementation Plan Chapter 1 - Departmental GIS Needs Assessment <br />