Infoshare Online, also know as the Infoshare Community Data System, or simply Infoshare, is administered by Community Studies of New York, Inc., a non-profit corporation founded in 1993 by Leonard Rodberg and John Seley, faculty members in the Urban Studies Department at Queens College and co-directors of Community Studies of New York, Inc. Other faculty of the Urban Studies Department serve on its Board of Directors.

Development of Infoshare began in 1988, as a way to enable our students to make use of computerized data files on New York neighborhoods. They needed an access tool that could be used by a novice in computing and would allow them to use computer-based data to learn about their City.

By 1990, Infoshare was being used in the Department of Urban Studies at Queens College and at the CUNY Medical School, where pre-med students were learning how to perform community health assessments. Soon we found that many others needed access to community data, and we created Community Studies of New York, Inc., as a service to non-profit organizations struggling to meet the needs of their service areas. Since, community health centers, hospitals, non-profit housing groups, family practice residency programs, and government agencies have used Infoshare to understand their city. Smaller grassroots organizations use our consulting services to assess needs in their communities.

We have established relationships with many organizations that collect data about New York City, including most city and state agencies and other not-for-profit organizations. Infoshare is also unique in its ability to provide data in multiple geographic forms, including census tracts, zip codes, community districts and political districts.

In 2002, Community Studies of New York, Inc., received a grant from the New York City Department of Youth and Community Development to prepare a series of profiles of the city’s community districts, including the Bronx Community District 1 (Melrose/Mott Haven). The Office of Community Studies is currently gathering and updating data used in the hopes of having a new series available in 2013.

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