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This Government Contract opportunity from Department Of The Interior was posted on September 2, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Geoscience Data Management Services

Closed
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541511
New
Federal
F-35 JPO Enterprise Data Science and Analytics Support
Solicitation # N0001927R0054
The Naval Air Systems Command is seeking information for the F-35 JPO Enterprise Data Science and Analytics Support contract, identified by solicitation number N0001927R0054. This effort focuses on the formulation, development, and deployment of production-ready machine learning solutions, including predictive maintenance, readiness forecasting, and supply-chain optimization. The scope includes business intelligence through executive data storytelling and interactive dashboards, as well as the design of secure cloud data architectures using AWS GovCloud, Azure Government, or Snowflake. Technical deliverables must be packaged in security-hardened Docker containers and deployed via Kubernetes or OpenShift, with a requirement for ETL/ELT pipelines to maintain at least 98 percent data completeness and accuracy. The anticipated period of performance consists of one 12-month base period with four 12-month option periods. Work may be performed at contractor facilities, authorized government locations in the National Capital Region, or through approved hybrid arrangements. Due to the sensitive nature of the work, the company must be U.S.-owned and headquartered in the United States, and personnel must possess active Top Secret clearances. Key personnel requirements include a Data Science/Machine Learning Lead, an Enterprise Data Architect, and a Business Intelligence and Analytics Lead. While this is currently a sources-sought RFI and no formal solicitation exists, respondents must be registered in the System for Award Management and fall under NAICS code 541511.
Naval Air Systems Command

POSTED

about 15 hours ago

DEADLINE

in 14 days

AI Contract Overview

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The Geoscience Data Management Services subcontract, managed by the Department of the Interior's Acquisition Management Division, focuses on data publication and metadata development for prime contractors on Marine Minerals Administration projects. The primary scope involves preparing Alaska geology and geophysics datasets for archiving, utilizing SQL and Python for data manipulation and migration, and developing dataset-level metadata within the Data Catalog. Qualified personnel must hold a Bachelor's degree in earth science or a related field and ensure full compliance with NIST cybersecurity standards. The successful contractor is responsible for delivering formatted and documented datasets along with corresponding metadata. The solicitation was posted on September 2, 2026, with a response deadline of September 15, 2026, under NAICS code 541511.

General Info

Subcontract for Alaska geoscience data publication, metadata development, and NIST cybersecurity compliance.

NAICS

541511 - Custom Computer Programming Services

Place of Performance

VA

Set-Aside

NONE

Documents

This scope was carved out of 140M0126Q0043.

The full solicitation package (4 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

B--BOEM DATA MANAGEMENT SUPPORT

AI Contract Breakdown

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of The Interior → Acquisition Management Division
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs data publication and metadata development for prime contractors on DOI Marine Minerals Administration (MMA) projects. Prepares Alaska geology and geophysics datasets for archiving using SQL and Python for data manipulation and migration. Develops dataset-level metadata within the Data Catalog. Requires a Bachelor's in earth science or related field and compliance with NIST cybersecurity standards. Delivers formatted, documented datasets and metadata.

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NAICS: 483112
Federal
V--Vessel Atlantic Ops Physical Inspections Draft RFP
Solicitation # DOIEFBO260006
The Department of the Interior and the Marine Minerals Administration are conducting market research via a Draft RFP for a Multiple-Award Indefinite-Delivery/Indefinite-Quantity (IDIQ) contract to provide offshore vessel services for physical inspections of renewable energy facilities on the Atlantic Outer Continental Shelf. The scope of work covers a geographic range from Virginia Beach, Virginia, to Martha's Vineyard, Massachusetts. The government is seeking industry feedback on the draft, specifically regarding CLIN structure, insurance requirements, evaluation criteria, and pricing for an anticipated Seed Task Order. The overall contract has an estimated maximum value of 30 million dollars over a five-year period, consisting of a 12-month base period and four one-year option periods. The anticipated Seed Task Order requires a DP2 offshore vessel equipped with a Walk-to-Work (W2W) transfer system to inspect up to 93 facilities during calendar year 2027. The contractor must be capable of continuous offshore operations for 45 days, with an endurance of 21 days without returning to port. Award will be based on a Best Value Tradeoff process, where technical capability and past performance are significantly more important than price. Key evaluation factors include vessel sourcing strategy, organizational conflict of interest mitigation, and small business participation. Comprehensive insurance coverage is required, including 10 million dollars in Bumbershoot/Excess Liability and 5 million dollars each for Protection and Indemnity and Vessel Pollution Liability.
Deep Sea Passenger Transportation

POSTED

about 1 month ago

DEADLINE

in about 1 year
View Details

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