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Executive Summary
Goals, Objectives:
The proposed collaboration will prototype and test
an intelligent middleware approach for sharing data within a metropolitan
area in a manner that is likely to be more effective, scalable, and
sustainable than the traditional ‘data center’ approach.
The proposed tools and methods also provide a mechanism for accumulating
local knowledge about neighborhood-scale land use, ownership, and market
potential and for using that knowledge to re-interpret administrative
datasets and develop customized analyses of neighborhood conditions
and market potential. The collaborators include local and regional agencies
with in-house GIS expertise and significant experience acting as ‘data
centers’. These agencies are ready and willing to collaborate
with MIT in the development and testing of data-intermediary approaches
that can facilitate both horizontal data sharing across agencies and
towns and vertical data sharing among regional, local, and neighborhood
organizations. They have been working for several years with the Boston
Foundation as local partners in the National Neighborhood Indicator
Partnership and they are interested in methods that can enhance the
reusability of administrative data and streamline its integration with
locally generated neighborhood data, to permit customization of neighborhood
indicators and analyses.
Methodology:
The project develops and tests prototype tools and
methods for sharing and augmenting the data needed to understand neighborhood
markets and community development options. University expertise is tapped
to design next-generation tools for data sharing. University researchers,
local and regional agencies, and community organizations collaborate
closely in prototype development and in several workshop and class projects
that test the practicality of the new methods. Advisory Board input
and continued involvement in related national efforts provide useful
input and several outreach and communication channels.
Impact:
The project team has been extensively involved in efforts to improve
the quality and utility of data sharing efforts that can inform community
development and metropolitan planning. The team includes Boston’s
NNIP partners and has been active in recent efforts to establish a nationwide
Community Statistical System Network. A number of planners and community
organizations across the country have expressed interest in finding
alternatives to the traditional ‘data center’ model and
are interested in implementing the middleware tools and methods developed
by the project if the prototype proves effective.
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