NGA posts Collection Matching Data Fabric RFI
On June 16, the National Geospatial-Intelligence Agency (NGA) issued a request for information (RFI) for Collection Matching Data Fabric (formerly Relationship Storehouse). Responses are due by 12:00 p.m. Eastern on June 30.
NGA in support of the Needs and Collection Management (NCM) Integrated Program Office is providing a special notice update on Collection Matching Data Fabric (formerly Relationship Storehouse). NCM has changed the name of this program from Relationship Storehouse to Collection Matching Data Fabric (CMDF). NCM has also changed the previous Statement of Work (SOW) to a Performance Work Statement (PWS) and has rewritten major components of the document. This special notice is to provide an update to Industry on the PWS changes.
The purpose of this special notice to the RFI is to provide an opportunity for Industry to offer feedback and recommendations on the revised PWS and requirements.
The purpose for this special notice to the request for information (RFI) is to gather feedback and comments on the revised PWS as well as recommendations for artifacts or additional information that would support Industry’s response to meet NGA’s requirements. This special notice update to the RFI is meant to achieve these goals:
- Gain feedback from Industry and any other relevant stakeholders on CMDF.
- Gain feedback on additional documentation and artifacts that may support the requirements of the PWS.
- Collect feedback to understand industry partner capabilities and recommendations for performance metrics outlined in the PWS that address growing volume and complexity of information needs.
- Better understand how industry partners are positioned to address DoD and IC missions and the market of suppliers across unclassified and classified domains in order to find the content and services that best meet customer and user needs.
- Leverage feedback on the latest commercial platform tools and capabilities available in the current marketplace.
CMDF will deliver a data fabric construct connecting user needs to GEOINT suppliers, formed by interacting with disparate data currently generated by a variety of enterprise tools and technologies. The data fabric will function as a unifying data and business logic overlay spanning the NCM architecture. The new data fabric construct enables substantial workflow efficiencies by quickly aligning registered GEOINTGEOINT suppliers against collection requests. It will incorporate Artificial Intelligence (AI) / Machine Learning (ML) within the matching algorithms and within all the telemetry logic. The incorporation of deep learning analytics into the data fabric structure will provide analysts with more efficient supplier allocation decisions, resulting in higher probability of meeting their analytical intent. CMDF-delivered capabilities will be designed to accommodate all GEOINT suppliers including commercial, national, and other emerging sources.
CMDF will also enable the ability to measure mission utility based on allocation decisions through the use of business analytics and simulations to improve future needs to supplier allocation decisions. This information will enable NCM trending, diagnosing, and refinement of decision processes across the supply chain. The primary purpose of CMDF is to stand up the data fabric construct and infrastructure in an enterprise framework (such as CORE).
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