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The Center for Technology in Government’s cross-boundary information sharing survey represents the last phase of the “Modeling the Social and Technical Processes of Interorganizational Information Integration” (MIII) project. This national study, conducted by CTG and supported by a grant from the National Science Foundation,1 was designed to understand how effective information integration and sharing occurs within and across boundaries of organizations. The purpose of the survey was to test the generalizability of a preliminary theoretical model of how policy, organizational, social, and technical factors interact to create criminal justice and public health information sharing capabilities. CTG developed this model based on the data collected and analyzed during earlier phases of the research project.

Purpose of the MIII Project

Integrating and sharing information in multi-organizational government settings involves complex interactions within social and technological contexts. These processes often involve new work processes and significant organizational change. They are also embedded in larger political and institutional environments which shape their goals and circumscribe their choices. The purpose of this research is to develop and test dynamic models of information integration and sharing in these interorganizational settings.

This report provides a first look at the results of the survey in terms of frequencies and basic statistics. The survey was administered during February and March of 2008 to a sample of mostly local and state government public health and criminal justice professionals from across the United States (See Appendix I for survey methodology, sample, and response rate of this project).2 While the research team has been disseminating findings based on the qualitative data, the information provided in this report represents a preliminary analysis of the survey results using basic statistical measures.3 The CTG research team is using this preliminary analysis to guide more detailed analyses of the survey data and to test our theoretical model of government cross-boundary information sharing. In addition, this report provides those individuals who participated in the survey and others who are interested in government cross-boundary information sharing with a summary of those items of interest that emerged from the initial phase of analysis. These results might also be of interest to both researchers and practitioners involved in similar initiatives. Additional analyses will be presented in future academic and practitioner-focused outlets such as journals, conferences, working papers, reports and other relevant media.

1 National Science Foundation grant number ITR-0205152.
2 A PDF version of the survey is available at
3 Copies of these publications are publicly available at