Ikeia Howell

Ikeia Howell supports the National Library of Medicine (NLM) within the National Institutes of Health in procuring specialized information technology and professional services critical to the curation, dissemination, and accessibility of biomedical data. Though her formal title is not publicly listed, her role centers on managing acquisitions that sustain NLM’s digital infrastructure—including biomedical vocabularies, clinical trial registries, and consumer health portals. She facilitates the acquisition of complex IT solutions that enable researchers, clinicians, and the public to access authoritative scientific resources, aligning procurement activities with NLM’s mission to advance biomedical knowledge through open, interoperable systems. Howell engages with a broad spectrum of vendors specializing in software development, data integration, and systems maintenance, though specific contractor relationships are not publicly disclosed. Her contracting patterns reflect a preference for established technology service providers with demonstrated expertise in health informatics, semantic web technologies, and large-scale data management. She fosters long-term partnerships with firms capable of delivering scalable, secure, and standards-compliant solutions that integrate with NLM’s existing ecosystems such as PubMed, ClinicalTrials.gov, and MeSH. Howell’s procurement portfolio is entirely non-set-aside, with 100% of acquisitions conducted under open competition, indicating a focus on technical merit and vendor capability over socioeconomic preferences. While small business participation is not formally prioritized through set-asides, her awards remain accessible to all qualified vendors, maintaining compliance with federal procurement principles of fairness and transparency. Her primary procurement focus is under NAICS 541519 (Other Computer Related Services), encompassing custom software development, data curation services, system integration, and technical support for biomedical information systems. She consistently seeks vendors with deep domain expertise in health data standards, ontology management, and API-driven architectures that support interoperability across federal and academic health information networks.