Persistent Intelligence Surveillance and Reconnaissance Product Line Architecture ver 1.1
dc.contributor.author | Rapid Prototyping Valued Information at the Right Time (RapidPro-VIRT) Project Team | |
dc.contributor.author | Gunderson, Chris | |
dc.contributor.corporate | Open Enterprise Information Systems (OEIS) | |
dc.contributor.department | Evolving Open Enterprise Information Systems | |
dc.date.accessioned | 2014-09-02T23:08:15Z | |
dc.date.available | 2014-09-02T23:08:15Z | |
dc.date.issued | 2011-01-31 | |
dc.description | Chris Gunderson is a Research Associate at the Naval Postgraduate School. He is the principal investigator of the Open Enterprise Information System (OEIS) research initiative. This project sponsored by the Undersecretary of Defense for Intelligence and executed in the Northern Virginia. The project objective is to help the government improve its flawed information technology acquisition process through four key activities: Establish a collaborative network of government, industry, and academic experts who have succeeded at some aspect of OEIS; Study Internet successful stories and distill the lessons learned; Embed lessons learned into familiar government acquisition artifacts; Work with early adopting pilot projects to verify, validate, refine, and document best practices | en_US |
dc.description.abstract | PISR PLA is a Military Intelligence application of the commercial best practice for optimizing business objectives, via plug-and-play open systems. PISR PLA is optimized to deliver Valued Information at the Right Time. (Dr Rick Hayes-Roth led the NPS team that delivered PISR PLA.) | en_US |
dc.description.sponsorship | Marine Corps Systems Command Program Manager for Intelligence (PM-Intel) | en_US |
dc.identifier.uri | https://hdl.handle.net/10945/43205 | |
dc.title | Persistent Intelligence Surveillance and Reconnaissance Product Line Architecture ver 1.1 | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | 9f0aad5c-7ee6-443b-8a85-c10d96ff6d0c | |
relation.isOrgUnitOfPublication.latestForDiscovery | 9f0aad5c-7ee6-443b-8a85-c10d96ff6d0c |
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