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\WHAT THE DATA SAYS

MIT is providing a rich set of data to Mashup Camp attendees who chose to participate in the FutureBoston@MashupCamp competitions. This data is combined from a variety of national, local and governmental sources and is beyond what is ordinarily available in a standard mashup environment. For this reason we are including the following "data dictionaries" for use in interpreting and utilizing this data in your mashups.

COMPETITION 1: INNOVATION LANDSCAPE

There are two data sets to be used for the Innovation Landscape competition. The first compares Massachusetts against nine other states in America on different measures of innovation potential and performance. This also has information on how different sectors are performing in each state relative to each other.

Data Set 1: National Landscape

Purpose: The purpose of this data set is first, to compare Massachusetts (MA) to other states in terms of factors influencing innovation and second, to compare different industries in MA relative to their national innovation context.  The point is to discover how MA has fared over time in a national perspective and which industries within MA are the most influential for the state's growth.

Challenge: There are two technical challenges for visualization and mashing up of this data. The first is to animate geographic data over time and tell a story that goes beyond the static display of data. The second is to make creatve visualizations of a single geographic object with multiple different characteristics (i.e., the State of MA) and to interpretat different data types and geographic scales in a compelling story using the best visual evidence possible.

Data:

• R&D investment per capita, 2000 - 2005
• Percent population with higher degrees, 2000 - 2005
• Patents issued per capita, 2000 - 2005

Format: These data are available in GIS shapefile format, WMS and WFS formats, and CSV text file formats. Click here for a more detailed data dictionary.

Data Set 2: Rich ZIP Code Landscape

Purpose: Using the story told with the national dataset about MA's and the country's innovation economy over time, one major industry is likely to stand out within MA. This is the biotech / pharmaceutical industry and it's close ties to post-secondary education. The purpose of the second data set is to try to identify where this industry is located and why. Is it spread out over the state? Is it found in key zip code clusters? If so, why? If not, why not?

Challenge: The technical challenge associated with this data is to create advanced 3D data visualization of rich geographic data, integrated with a 3D viewing platform such as GoogleEarth, VirtualEarth, SketchUp, SecondLife, etc. The rich coverage and data provided by the polygon and centroid points of this data set will facilitate the creation of 3D landscapes andevidence based coloration and geometry in a new way yet to be seen for web mapping services.

Data:

• Occupation by cluster per capita
• Percent change in occupation by cluster

Format: As with the first set of data, these data are available in GIS shapefile format, WMS and WFS formats, and CSV text file formats. Two files are provided, however, one as polygons and one as ZIP code centroids. Click here for a more detailed data dictionary of this data source.

COMPETITION 2: SCIENCE CITY MODEL MAKER

Two additional data sets can be used for the ScienceCity Model Maker compeition. These are even more fine scale in detail and relate specifically to the area around MIT and the Mashup Camp.

Data Sets 3 & 4: Mass Ave City Parcel and Building Database

Purpose: Building on information from the National and State levels, the purpose of this data set is to create the richest possible vision of what life on the ground around Boston's "ScienceCity" might look like. Factors relative to different people should be considered, drawing as much as possible on other data sets you find most interesting. 3D building elevations are also included to help visualize the planning and design factors that may be the most relevant to your ideas.

Challenge: Rich data integration with municipal data sources, user driven 3D map creation, experimental visions of e-democracy and community planning, prototyping tools for a “Mashup Government”, 3D qualitative visualization of a day in the life of FutureBoston ScienceCity.

Data:

• Building and parcel locations
• Average building elevation
• Average ground elevation
• Lot size
• Land use
• Street address and ZIP code
• Land and building values
• Tax paid
• Year built
• Number of buildings per parcel
• Number of residential units per parcel
• Number of commerical units per parcel
• Distance to commercial land uses
• Distance to Harvard Yard
• Distance to Susan Hochfield's office (President of MIT)
• Distance to retail, restaurants and shopping
• Distance to nearest T stop

Format: As with the otherdata, these data are available in GIS shapefile format, WMS and WFS formats, and CSV text file formats. Two files are provided, one as polygons and one as parcel centroids. Click here for a more detailed data dictionary of this data source.