Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data from Patients Treated for Cancer. Charles S. Mayo , Mary U. Feng , Kristy K. Brock , Randi Kudner , Peter Balter , Jeffrey C. Buchsbaum , Amanda Caissie , Elizabeth Covington , Emily C. Daugherty , Andre L. Dekker , Clifton D. Fuller , Anneka L. Hallstrom , David S. Hong , Julian C. Hong , Sophia C. Kamran , Eva Katsoulakis , John Kildea , Andra V. Krauze , Jon J. Kruse , Tod Mcnutt , Michelle Mierzwa , Amy Moreno , Jatinder R. Palta , Richard Popple , Thomas G. Purdie , Susan Richardson , Gregory C. Sharp , Shiraishi Satomi , Lawrence R. Tarbox , Aradhana M. Venkatesan , Alon Witztum , Kelly E. Woods , Yuan Yao , Keyvan Farahani , Sanjay Aneja , Peter E. Gabriel , Lubomire Hadjiiski , Dan Ruan , Jeffrey H. Siewerdsen , Steven Bratt , Michelle Casagni , Su Chen , John C. Christodouleas , Anthony Didonato , James Hayman , Rishhab Kapoor , Saul Kravitz , Sharon Sebastian , Martin Von Siebenthal , Walter Bosch , Coen Hurkmans , Sue S. Yom , Ying Xiao INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS（2023）
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Data Cleaning, Data Integration, Phenotype Ontology
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