Military Enlistment Data Access to Lift Student Success (MEDALS)
Overview
Buyer
Place of Performance
NAICS
PSC
Set Aside
Original Source
Timeline
Qualification Details
Fit reasons
- NAICS alignment with historical contract wins in similar service areas.
- Scope strongly matches core technical capabilities and delivery model.
Risks
- Past performance thresholds may require one additional teaming partner.
- Potential clarification needed on staffing minimums before bid/no-bid.
Next steps
Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.
Quick Summary
The Department of War (DoW), through the Defense Human Resources Activity (DHRA) and Defense Manpower Data Center (DMDC), has issued a Request for Information (RFI) for the Military Enlistment Data Access to Lift Student Success (MEDALS) initiative. This RFI seeks technical and operational input from qualified third-party vendors to serve as a secure data intermediary. The primary goal is to improve student outcomes related to post-secondary military enlistment and careers by facilitating secure data exchange between multiple States, U.S. territories, federal agencies, and the DoW. Responses are due by May 22, 2026, 7:00 PM EDT.
Purpose & Scope
The DoW aims to establish a long-term capability to utilize student-level high school graduate data, manage and standardize state data submissions, perform secure data matches against DMDC enlistment data, and return de-identified results to State Education Agencies (SEAs) for authorized analysis. This effort builds upon work initiated by a related pilot program with the Council of Chief State School Officers (CCSSO).
Vendors should describe their ability to provide secure, unidirectional data matching services, including:
- Secure receipt, validation, formatting, de-identification, and aggregation of state graduate data.
- Production of consolidated files for matching against DMDC enlistment data.
- Secure receipt and disaggregation of match results by state.
- Secure return of SEA-specific student-level match files.
- Data retention and destruction in accordance with DoW and state agreement terms.
- Analysis and recommendation of best practices for matching files and algorithms.
Technical & Security Requirements
Respondents must demonstrate compliance with federal and DoD security and privacy requirements, including FISMA, DoD Instructions (8500.01, 8510.01), DoD Cloud Computing SRG, NIST SPs (800-53, 800-61, 800-88), FIPS 140-2/140-3, and FedRAMP (if cloud-based). Compliance with the Privacy Act of 1974, CMPPA, and FERPA is critical. Approaches to information security architecture, data storage, de-identification, matching, encryption, U.S. residency, role-based access controls, auditing, incident response, and data destruction are key areas of interest. Data matching methodologies may include PII-based, SSN-based, privacy-preserving (e.g., tokenization, secure multi-party computation), or hybrid approaches.
Contract Details & Timeline
- Opportunity Type: Sources Sought (Request for Information)
- Anticipated NAICS: 518210 - Data Processing, Hosting, and Related Services
- Anticipated PSC: DH10 - IT and Telecom - Platform As A Service: Database, Mainframe, Middleware
- Set-Aside: None specified
- Response Due: May 22, 2026, 7:00 PM EDT
- Published: May 13, 2026
Agreement Framework
The DoW anticipates a hub-and-spoke agreement model where the selected third party holds the primary contract with DoW/DMDC and manages individual standardized Data Use Agreements (DUAs)/licenses with SEAs. Respondents should propose financial support models for contract administration and SEA/DoW costs. Experience in managing standardized licensing/DUA approaches across multiple organizations and handling FERPA/privacy is required.
Additional Notes
This RFI is for information, planning, and market research purposes only and does not constitute a commitment to solicit or award a contract. Responses will be public record. The Government is open to considering Department of Education capabilities for data acquisition.