Biography
Paul Kent built his career managing information technology and data infrastructure in some of the most demanding scientific computing environments in the world. His experience spans NASA's data management challenges — where petabytes of satellite, mission, and sensor data must be stored, processed, and made accessible to researchers worldwide — to the National Cancer Institute and National Library of Medicine, where he led IT and informatics programs critical to biomedical research and public health.
At the National Cancer Institute, Kent oversaw the IT infrastructure supporting the agency's research programs — from genomics data management to clinical trial systems to cancer data commons that enable researchers across institutions to share and analyze data. At the National Library of Medicine, home of PubMed and the world's largest biomedical literature database, he managed the systems that provide free access to over 35 million research articles for scientists, physicians, and patients worldwide. His work sits at the intersection of scientific data management, open access, and research infrastructure — building the systems that make modern biomedical science possible. His philosophy has centered on open data, interoperability, and the idea that data infrastructure for science is a public good that must be designed with long-term accessibility in mind.
Core Philosophy
Scientific data is a public good that must outlive its creators. Kent's approach to data management in research contexts is governed by a long-term view: scientific datasets collected today will be re-analyzed by researchers using tools that don't yet exist, to answer questions that haven't been formulated yet. This demands data architecture decisions that prioritize openness, standardization, and durability over short-term convenience. A cancer dataset from 1990 properly archived is still generating publications today.
Interoperability is not a technical choice — it is a mission requirement. In biomedical research, data that cannot be combined across studies produces weaker science than data that can. Kent has consistently championed open standards, common data elements, and federated data architectures that allow researchers across institutions to analyze data together without requiring a single centralized repository.
Famous Quotes
"The data we collect today will be analyzed by methods we cannot imagine, to answer questions we haven't asked. That is why open standards are not optional — they are the minimum standard for responsible data management."— Paul Kent
"In research computing, failure is not an option — not because it is heroic, but because the data represents years of patient lives, scientist careers, and taxpayer investment. You do not get to lose that."— Paul Kent
"Open access to scientific literature is not a policy preference. It is a precondition for science to work as a self-correcting system."— Paul Kent
Notable Achievements
- CIO roles at NASA, National Cancer Institute, and National Library of Medicine
- Managed petabyte-scale scientific data infrastructure for federal research agencies
- Oversaw NLM's PubMed and biomedical databases — serving 35M+ research articles to global users
- Led cancer data commons and genomics data sharing infrastructure at NCI
- Advanced open data and FAIR (Findable, Accessible, Interoperable, Reusable) data principles in federal science
- Built IT systems for clinical trial management and cancer research coordination
- Contributed to national data sharing policy for federally funded research
- NASA data management for satellite and mission data serving the global research community
Lessons for the CIO Suite
Kent's principle: data you collect today will be re-analyzed in ways you cannot anticipate. Design for openness and durability, not just current use. Proprietary formats and closed systems are a gift to future data loss.
In science, isolated datasets produce weaker conclusions than combined ones. In business, the same principle applies to customer data, operational data, and market data. Interoperability is not IT architecture — it is competitive capability.
PubMed's open access model created far more value than a subscription model would have — by enabling a global research ecosystem. CIOs can apply this logic: what data or interfaces, if opened, would create an ecosystem that benefits your organization disproportionately?
Scientific data represents irreplaceable investment. Kent's approach to backup, disaster recovery, and data integrity in research computing sets the standard for any organization where data loss is existential. Know your irreplaceable data and protect it accordingly.