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Integration of the Enterprise
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GIS Systems/Data Integration Success Guide
Data Integration
There are several questions related to data integration that we need to respond to and be aware of
when implementing GI S in an organization:
- What data needs to be integrated and how will it be done?
The first step to know what data will be used in an organization is to perform a GIS and Data
Integration Strategic Plan, this plan will help to achieve several objectives:
- Identifj the fhnctions and tasks needed to implement GIS in the organization
- Establish short and long range goals and implementation sequence or schedule
- Identify the applications that can benefit from using GIS
- Identify the existing problems, their impact, solutions and benefits that can be obtained from using GIS technology
- Identify the needs and obstacles for implementing GIS (political, financial, organizational, personnel, etc.)
- Have a marketing and educational tool to promote GIS within the organization
- Identify the data used by key applications and their integration needs.
- What is the data status?
After the applications that can be implemented are identified and prioritized, we will conduct an
inventory of the existing data and compile the following information:
- Source of data, who generates the data, who does the updates and who uses it
- Existing volume (number of maps, records, documents, etc.)
- Medium (paper, scanned, vector, digital, film)
- Origin (where the data was created)
- Quality, reliability and accuracy
- What format (database, spreadsheet, word processor, mainframe)
- Frequency of use (query and update), importance factor, date created
- Alternative sources of information
- Data growth potential
- What are the data needs for the business functions, applications and data integration?
Analyze what are the data needs and correlate them to the required business functions and
applications. Examine any duplication in data from different finctions, evaluate the collection
cost and alternatives for lower cost data.
By installing GIS into the organization you have uncover data compatibility issues that are
critical to the future of your organization. There are six major categories of data integration for
Gee-Referenced information and if they are not addressed, the efficiency of automation in your
organization will be substantially reduced. The si categories are listed below:
- Mapping coordinate system and datum such as State Plane, UTM, Lat - Len, etc.
- Mapping information spatial accuracy.
- Facility code systems or geographic identifiers for each objector location.
- RDBMS tabular data format. Ex: are names store as First, MI, Last or as one field.
- Mapping/GIS data file formats, such as AutoCAD, MicroStation, Arc/Info, etc.
- Map symbology.
- Are there any GIS mapping standards in the organization?
From the time of the application design to the fill implementation of all the modules, could be a
range from a few months to several years, during this time production of new maps and data will
continue. From the analysis of the data select the frequently used data following the Pareto rule
that gives us an approximation that 20% of the data is used in 80’%0of the functions. Develop
GIS data and mapping standards for the frequently used data first and use the standards for
creating new data in the existing processes.
For example, if as part of your base map you will be using right of way maps, generate GIS
standards to be added to the CAD standards to be used ASAP by the right of way function when
drawing right of way maps. Following a sample of standards:
- The last coordinate pare of a digitized area boundary must exactly match the first pair.
- All polygons or area boundaries must be closed and tangent at each connection point
with no segments overlapping.
- Roads, border line, property edges must be created using a single line string .
- All line feature segments tangent or intersecting with other line or area boundary
features must be terminated at the point of intersection.
- Provide a list of the GIS items that will be used in the map and the levels to reside.
From using this standards you can alleviate the conversion process. In an study conducted in
MWD implementing the GIS standards for the right of way maps mean an additional work of
three hours per map versus ten to thirty four hours of conversion time per map needed in the
future.
- How does the conversion process take place?
Decide how to integrate the data and mapping from legacy systems and projects that have been
constructed with paper base information vs. actual or recently finished projects with digital or
vector data.
In previous steps we have found which are the data available, how it is used (query and updated),
frequency etc. Based in this information we will decided which data needs to be converted and
how (cogo, digitized), this will depend of the level of accuracy needed by the applications, cost
and importance, normally the basemap layers need to go through this process. Other maps can
be just scanned, geopositioning or indexed in a database and saved in CD rem’s and used as a
reference. Don’t forget that sometimes the data can be acquire from other sources instead
converting old information, for example parcel line work can be acquire from the Counties or
Cities if it satisfies the level of accuracy needed by your application, this approach can save
considerable amount of money to your company.
- How am I going to setup the data dictionary or Metadata function?
The concept of data dictionary comes from 1980 when the usage of hierarchical first and then
relational databases began to expand and the need of the organizations to keep track of the
characteristics of their text data, usage and files or tables location was needed. The Metadata
concept is to keep track of geospatial data, the content, quality, condition and other
characteristics of the data. It will help to organize the data and provide information about your
data to others within the organization as part of the integration processor externally to
clearinghouses if desired. To perform this function you can develop your own database or use
existing software like the California Geospatial Metadata Clearinghouse developed by the
California Geographic Information Association.
- How the applications will be integrated?
The applications will be geographically integrated by using a base map developed with the
highest level of accuracy needed by applications using the same area. For example to manage
infrastructure type of projects you go through a cycle of Planning, Design, Construction and
Operations, each function has different applications and data accuracy needs, for the Planning
function 100’ or 200’ base map accuracy will be sufficient for their applications and they can be
integrated for that function. With Design, Construction or Operations applications, the accuracy
needs are more stringent plus/minus 1 meter or less. The basemap for those areas or corridors
has to be developed to that level and the rest of the areas needed by the Planning function can
remain at their level of accuracy. In this way we can begin to use the same base map for all the
functions and geographically integrate the applications.
Data Integration Summary
When using GIS the concept of data integration goes beyond previous systems that deal with text
data or graphics, now by combining text data residing in one part of the organization, with maps,
photographs, documents, etc. that can reside in other functions of the organization we get a
synergy tool to visualize, analyze, manage an integrate the organization information.
A strategic plan will help us have a better idea of the applications in the organization, the data
needs, standards implementation, and integration with non GIS applications by providing a
geographic link component to the non GIS application using the corporate relational data base.
In other words we need to satisfy the organization’s information needs and plan and design the
system to incorporate fhture informational needs of the organization. Good relations and
communications, formal or informal committees with other groups of the organization will keep
us aware of their respective applications and data needs.
Anticipating steps needed to integrate data in a GIS will help us succeed in the implementation
and usage of the systems.
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