This Government Contract opportunity from National Science Foundation was posted on July 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Confidentiality and Data Security Management
Contract Overview
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AI Contract Overview
The contract calls for the development and implementation of a Confidentiality Plan and Data Security Procedures designed to ensure full compliance with FISMA, FIPS, and CIPSEA standards. The work involves establishing robust protocols to safeguard sensitive data, manage access controls, and enforce security measures aligned with federal requirements for information systems and privacy protection. The contractor will be responsible for creating documentation, conducting risk assessments, implementing technical and administrative safeguards, and ensuring ongoing adherence to evolving federal guidelines throughout the lifecycle of the program. This subcontract is issued by the National Science Foundation's Division of Acquisition and Cooperative Support, with work to be performed at a designated location in Alexandria, Virginia, 22314. The solicitation was posted on July 1, 2026, and responses are due by July 15, 2026, at 4:00 p.m. The NAICS code 541512 indicates this is a specialized information technology services engagement, likely targeting vendors with proven expertise in federal data security frameworks. There is no set-aside designation specified, and the contracting office has not provided a point of contact, requiring interested parties to review the official SAM.gov link for additional submission details.
General Info
Agency
NAICS
Place of Performance
Alexandria, VA, 22314, USASet-Aside
Documents
This scope was carved out of 49100426K0006.
The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.
2027 & 2029 NCSES Survey of Science and Engineering Research Facilities Sources Sought
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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