DNF Demonstrator
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Welcome to the Digital National Framework (DNF) demonstrator.
DNF (www.dnf.org)
is an industry standard for the integrating and sharing business and geographic information from multiple sources.
This demonstrator contains several examples of how DNF enables relationships to be generated and reused between spatial data
from different sources.
Each example is a practical, hands-on demonstration of the underlying principles of DNF.
New users will need to register. Please read on for more information on how to do this. Registered users can view the demonstrator examples
using the following link:
Show List of Examples
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The purpose of each example is to show that DNF:
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Provides a common infrastructure for UK and European spatial information. DNF is an open standard and supports better
integration of data and more flexible exchange of data.
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Principles promote improved data quality and integrity and are driven by the strategic needs of the Geographic Information
community as well as the information industry.
- Embodies "Collect once, reuse many times" resulting in cost savings through reuse of information
The mapping uses Scalable Vector Graphics (SVG) technology.
SVG is supported natively in Google Chrome version 3+, Firefox version 1.5+ and Opera version 8 and above.
If you are using Internet Explorer 6.0 or above, you will need to download a plugin, produced by Adobe, to view the maps.
Download the Adobe SVG plugin here .
See the help page for more information.
Due to the licensing restrictions of some of the datasets used in the demonstration examples, please take a moment to register before viewing the examples.
Once you have registered you can
browse the list of examples
.
While the base reference data in each of these examples are real,
all attribution in the application data and address data contained in each example is fictional. This includes,
and is not limited to, water quality, flood risk, social indicators and fault reports about street furniture.
Attributes in the data have however been modelled in such a way as to approximate the
structure and nature of real application data.
For more specific information about the principles of DNF, browse the
Technical Guides on the DNF website
or read an
overview of DNF associations and cross referencing.