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Data Collect Once, Use Numerous Times System

Overview


Data Analytics, AI & Cloud Hosting
Bethesda, Maryland, United StatesPosted: September 2, 2026Deadline: September 22, 2026

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SUMMARY


The agency is conducting market research for a modular system that extracts, standardizes, and preserves healthcare data for reuse in real-world data research. The solution must maintain source data, provenance, permissions, and ontology information while supporting multiple authorized healthcare systems.

KEY REQUIREMENTS


TIMELINE


Questions due by September 15th, 2026.

Responses due by September 22nd, 2026.

QUESTION DEADLINE


September 15, 2026

CONTACTS


Primary procurement contact — name, title, email, and phone

Additional decision-makers and their departments

Issuing Agency


National Institutes Of Health

Organization overview and procurement intelligence available on paid plans.
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DESCRIPTION


The agency is seeking information from vendors capable of providing a Data Collect Once, Use Numerous Times system to support its Real-World Data initiative. The capability is intended to provide high-quality, standardized data with preserved provenance and approved access for the research community.

Initially, the system will perform requested and approved data extraction from Healthcare Partner agency systems. It should be modular and extensible to support other authorized source systems, including laboratory information systems, pharmacy information systems, picture archiving and communication systems, vendor-neutral archives, and specialty systems.

The program requires preservation of source data and associated provenance metadata, permissions, and source ontology fields without modification or loss.

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Frequently asked questions


When is the submission deadline?
Submissions are due September 22, 2026. Questions must be submitted by September 15, 2026.
Who issued this RFP?
It was issued by National Institutes Of Health. The work is located in Bethesda, Maryland, United States.
Who is a good fit for this opportunity?
  • Healthcare data platform and real-world data technology provider
  • Experience integrating electronic healthcare and clinical source systems
  • Expertise in data extraction, standardization, provenance, metadata, and ontology preservation
  • Ability to build modular, extensible systems supporting laboratory, pharmacy, imaging, archive, and specialty platforms
  • Experience supporting secure, permission-controlled access for research communities

Analysis generated by Settle AI from the source RFP.

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Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.

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