Standardized Observational Cancer Research Using the OMOP CDM Oncology Module. - Rimma Belenkaya; Michael J. Gurley; Dmitry Dymshyts; Sonia Araujo; Andrew E. Williams; Ruijun Chen; Christian G. Reich (MedInfo, 2019)

HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model. - Jeremy L. Warner; Dmitry Dymshyts; Christian G. Reich; Michael J. Gurley; Harry Hochheiser; Zachary H. Moldwin; Rimma Belenkaya; Andrew E. Williams; Peter C. Yang (J. Biomed. Informatics, 2019)

Data Quality Assessment of Laboratory Data. - Vojtech Huser; Clair Blacketer; Karthik Natarajan; Robert T. Miller; Andrew Williams 005; Selva Muthu Kumaran Sathappan; José D. Posada; Nigam Shah (AMIA, 2020)

Characterizing database granularity using SNOMED-CT hierarchy. - Anna Ostropolets; Christian G. Reich; Patrick B. Ryan; Chunhua Weng; Anthony Molinaro; Frank J. DeFalco; Jitendra Jonnagaddala; Siaw-Teng Liaw; Hokyun Jeon; Rae Woong Park; Matthew E. Spotnitz; Karthik Natarajan; et al. (AMIA, 2020)

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Rui Zhang 028; et al. (CoRR, 2021)

Ten principles for data sharing and commercialization. - Curtis L. Cole; Soumitra Sengupta; Sarah Collins Rossetti; David K. Vawdrey; Michael Halaas; Thomas M. Maddox; Geoff Gordon; Trushna Dave; Philip R. O. Payne; Andrew E. Williams; Deborah Estrin (J. Am. Medical Informatics Assoc., 2021)

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. - Melissa A. Haendel; Christopher G. Chute; Tellen D. Bennett; David A. Eichmann; Justin Guinney; Warren A. Kibbe; Philip R. O. Payne; Emily R. Pfaff; Peter N. Robinson; Joel H. Saltz; Heidi Spratt; Christine Suver; et al. (J. Am. Medical Informatics Assoc., 2021)

Feasibility of Linking Area Deprivation Index Data to the OMOP Common Data Model. - Xinzhuo Jiang; Maura Beaton; Jake Gillberg; Andrew Williams 005; Karthik Natarajan (AMIA, 2022)

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (CoRR, 2022)

Ontologizing health systems data at scale: making translational discovery a reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (npj Digit. Medicine, 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller 002; Karthik Natarajan; Olga V. Patterson; Yifan Peng 002; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Dalton Schutte; et al. (J. Am. Medical Informatics Assoc., 2023)

Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning (CRITICAL). - Yuan Luo 001; Luke V. Rasmussen; Andrew Williams 005; Jared Houghtaling; Andrew P. Michelson; Philip R. O. Payne; James J. Cimino; John D. Osborne; Prasanth Nannapaneni; Yikuan Li; Saki Amagai; Meghan Hutch; et al. (Zenodo, 2024)

National COVID Cohort Collaborative data enhancements: a path for expanding common data models. - Kellie M. Walters; Marshall Clark; Sofia Dard; Stephanie S. Hong; Elizabeth Kelly; Kristin Kostka; Adam M. Lee; Robert T. Miller; Michele Morris; Matvey B. Palchuk; Emily R. Pfaff; Adam B. Wilcox; et al. (J. Am. Medical Informatics Assoc., 2025)

A scoping review of OMOP CDM adoption for cancer research using real world data. - Liwei Wang 010; Andrew Wen; Sunyang Fu; Xiaoyang Ruan; Ming Huang 006; Rui Li; Qiuhao Lu; Heather Lyu; Andrew E. Williams; Hongfang Liu (npj Digit. Medicine, 2025)

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. - Qiong Wu; Jenna Marie Reps; Lu Li; Bingyu Zhang; Yiwen Lu; Jiayi Tong; Dazheng Zhang; Thomas Lumley; Milou T. Brand; Mui Van Zandt; Thomas Falconer; Xing He 003; et al. (npj Digit. Medicine, 2025)