This project proposes one possible solution to the information sharing and information processing problems within the intelligence community: include information professionals in each analytic division. By first creating a rough model of information and information sharing in the intelligence community and then comparing that model to one taken from information sharing practices in the corporate world, a new paradigm can be revealed which the intelligence community can use for further study. It is also of note that many of the successful corporations which utilize information effectively employ ideas first created by government policy, such as mandates within the Paperwork Reduction Act and various Executive Orders. These policies will also be reviewed for their impact on information in the corporate world and also for their reapplication in the world of intelligence. / A Thesis submitted to the College of Information in partial fulfillment of the
requirements for the degree of Master of Science. / Degree Awarded: Fall Semester, 2006. / Date of Defense: October 6, 2006. / Government information policy, Intelligence community, Corporate information sharing / Includes bibliographical references. / Michelle M. Kazmer, Professor Directing Thesis; John C. Bertot, Committee Member; John Gathegi, Committee Member.
Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_168480 |
Contributors | Smith, Susanna Rogers (authoraut), Kazmer, Michelle M. (professor directing thesis), Bertot, John C. (committee member), Gathegi, John (committee member), School of Library and Information Studies (degree granting department), Florida State University (degree granting institution) |
Publisher | Florida State University |
Source Sets | Florida State University |
Language | English, English |
Detected Language | English |
Type | Text, text |
Format | 1 online resource, computer, application/pdf |
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