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Implementing Geographic Information Systems in Asset Management Agencies Content Outline

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      Week 1: The Need for Asset Information

      Learning Outcomes:

      • Identify who, why, and what type of asset information is needed to develop data-driven decisions within asset management agencies. 
      • Given an asset management data set, determine the quality level of the information through profiling and monitoring. 
      • Based on a given outline for an asset management GIS program, identify the general costs required to carry out the new technological application. 

      Topics:

      • What Type of Asset Information is Needed 
      • Identification of Available Asset Information 
      • Assessing Options for Implementing GIS Platforms in Asset Management

      Week 2: Asset Management Subjects and GIS Implementations

      Learning Outcomes:

      • Employ GIS applications to improve asset management operations within two critical decision-making subjects.
      • Implement GIS programs to assist in the development of three asset information management subjects. 
      • Use two areas within asset management agencies to facilitate the adoption of new GIS platforms. 

      Topics:

      • Use of GIS Applications within Asset Management Policies and Acquisition of Assets
      • Applying GIS Programs within Systems Engineering and Data Information Management
      • Implementing GIS Platforms within Procurement and Stakeholder Engagement

      Week 3: Review of the Model Inventory of Roadway Elements

      Learning Outcomes:

      • Identify the three main data elements within the Model Inventory of Roadway Elements, which can be used to develop Asset Data Models for other applications.
      • List the three most common technologies used to collect asset management data and their context specific benefits.
      • Based on a specific asset element, identify the most suitable data collection technology.

      Topics:

      • Description of the Model Inventory of Roadway Elements
      • Available Technologies for Data Collection
      • Pairing Data Collection Methods with Specific Assets

      Week 4: Step-by-Step Development of Asset Management Inventory Projects

      Learning Outcomes:

      • List two key elements that need to be known about the subject agency to develop an efficient asset management data collection effort. 
      • Describe the five steps to be used in a database assessment to improve asset data collection processes. 
      • Use conceptual hourly production costs to estimate the cost of a data collection project.

      Topics:

      • Identify the Asset Data to be Collected and Develop a Data Collection Framework
      • Conduct Data Collection Processes
      • Assimilate and Integrate Collected Data

      Week 5: Refining Field Data for Analysis

      Learning Outcomes:

      • Use at least two GIS best practices to improve the quality of asset management data.
      • Use four steps to develop a quantile classification of geographic asset data.
      • Model and store field asset data using industry best practices to improve the accuracy of infrastructure data.

      Topics:

      • Reduction of Field Data and Quality Control
      • Data Classification Schemes
      • Describing and Analyzing Fields

      Week 6: Analysis of GIS Data for Planning Tasks

      Learning Outcomes:

      • Identify the outcome of a geographic pattern based on a spatial analysis process that can improve the visualization of asset management data.
      • Describe two common uses of GIS within planning activities that can improve results by employing decision-making strategies.
      • Identify at least one challenge in simple Boolean overlays and develop an analysis strategy to overcome it. 

      Topics:

      • Creating Maps as Outcomes from Analysis Tasks
      • Common Uses of GIS within Asset Management Planning Activities
      • Developing Map Overlays for Use in Asset Management

      Week 7: Analysis of GIS Data for Design Tasks

      Learning Outcomes:

      • Based on a specific GIS framework, identify its best use for infrastructure design applications.
      • Identify at least two uses of GIS spatial data to assist in the visualization of infrastructure design projects that can improve communication with different stakeholders.
      • Describe at least three methods for integrating GIS and Engineering design applications to improve the efficiency and quality of engineering design projects.

      Topics:

      • Benefits of using GIS Platforms in Infrastructure Design Projects
      • Visualization of Infrastructure Projects using GIS Platforms
      • Integrating GIS with Engineering Design Applications

      Week 8: Analysis of GIS Data for Daily Operation Tasks

      Learning Outcomes:

      • Use at least one key element of GIS platforms to assist in the determination of infrastructure levels of service.
      • Assign roles and responsibilities based on asset data analysis completed through GIS applications.
      • Identify the benefits of at least one statistical analysis that is used in GIS to assist in asset management operations.

      Topics:

      • Identifying Levels of Service using GIS
      • Define Roles and Responsibilities through GIS Analysis
      • Local Statistics, GIS, and Asset Management Operations

      Week 9: Preparing GIS Data for Distribution

      Learning Outcomes:

      • Select one of the four attribute measurement scales that can best display a specific asset management dataset. 
      • Provide an example application of a GIS analytical operation for the publishing of asset management data.
      • Identify the most suitable mapping method for displaying aggregated asset management data.

      Topics:

      • Use of Attribute Measurement Scales to Publish Asset Data
      • Levels and Operations for Thematic Mapping
      • Mapping Counts, Rates, and Densities

      Week 10: Sharing Data Within the Organization

      Learning Outcomes:

      • Describe the four decisions that need to be made before GIS share groups are created in order to preserve the integrity of asset management data.
      • Evaluate at least one benefit for using centralized data repositories to improve the internal distribution of GIS asset management data. 
      • Identify at least two benefits for using intranets as the sharing vessel for GIS data.

      Topics:

      • Creating Internal Data Groups
      • Use of Integrated Asset Data Repositories
      • Developing Intranet GIS Viewers 

      Week 11: Sharing Data Outside the Organization

      Learning Outcomes:

      • Describe at least one policy used by Federal agencies to distribute spatial data to the public and one policy used to protect individual information privacy. 
      • Use at least three benefits of metadata for sharing information with the public that facilitate the management of GIS asset data.
      • Identify at least two common issues in sharing GIS data with the public and the steps that can be taken to overcome them. 

      Topics:

      • Federal Policies on GIS Data Sharing
      • Metadata and Sharing of Asset Management Data
      • Issues in GIS Data Sharing

      Week 12: Synchronizing Enterprise Asset Data with GIS Platforms

      Learning Outcomes:

      • Using a basic workflow framework, develop an application specific coordination algorithm between GIS and EAM.
      • Identify the basic steps required to add EAM elements into GIS platforms that can improve the efficiency of data sharing within the organization.
      • Select at least one common feature between GIS and EAM platforms that can be used to link asset elements without error.

      Topics:

      • Adding GIS Assets to Enterprise Asset Management Systems
      • Adding Enterprise Asset Management System Elements to GIS
      • Linking Elements in Both GIS and Enterprise Asset Management Systems 

      Registration opens soon!


        This course outline is subject to change

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