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Jay Greenfield

Observed name: Greenfield, Jay
ORCID: 0000-0003-2773-5317
Observed ORCID: 0000-0003-2773-5317
OpenAlex ID: A5033169371
Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data model
2023 · Sylvia Kiwuwa-Muyingo, Jim Todd, et al. · Frontiers in Public Health · 17
INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools
2024 · Tathagata Bhattacharjee, Sylvia Kiwuwa-Muyingo, et al. · Frontiers in Digital Health · 14
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Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study
2024 · David Amadi, Sylvia Kiwuwa-Muyingo, et al. · Online Journal of Public Health Informatics · 13
COVID-19 Emergency Public Health and Economic Measures Causal Loops: A Computable Framework
2020 · Henri Tonnang, Jay Greenfield, et al. · SSRN Electronic Journal · 7
Data science without borders: bridging the divide in data science capacity across African health institutions
2025 · Agnes N. Kiragga, Samuel Iddi, et al. · Frontiers in Public Health · 6
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Understanding mental health among university students in Kenya: what role do family support and age play?
2025 · Bylhah Mugotitsa, Reinpeter Momanyi, et al. · Frontiers in Public Health · 5
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Harmonizing population health data into OMOP common data model: a demonstration using COVID-19 sero-surveillance data from Nairobi Urban Health and Demographic Surveillance System
2025 · Michael Ochola, Sylvia Kiwuwa-Muyingo, et al. · Frontiers in Digital Health · 5
Generic Longitudinal Business Process Model
2013 · Ingo Barkow, William Block, et al. · 5
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Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub
2024 · Bylhah Mugotitsa, Tathagata Bhattacharjee, et al. · Frontiers in Big Data · 4
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Access to longitudinal mental health data in Africa: Lessons from a landscape analysis by the INSPIRE network datahub
2024 · Bylhah Mugotitsa, Reinpeter Momanyi, et al. · Wellcome Open Research · 2
DDI and Enhanced Data Citation
2016 · Larry Hoyle, Mary Vardigan, et al. · IASSIST Quarterly · 2
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Access to longitudinal mental health data in Africa: Lessons from a landscape analysis by the INSPIRE network datahub
2025 · Bylhah Mugotitsa, Reinpeter Momanyi, et al. · Wellcome Open Research · 1
WorldFAIR Project (D7.1) Population Health Data Implementation Guide
2023 · Gregory, Arofan, Todd, Jim, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
COVID-19 Questionnaires, Surveys, and Item-Banks: Overview of Clinical- and Population-Based Instruments
2020 · Carsten Oliver Schmidt, Rajini Nagrani, et al. · SSRN Electronic Journal · 1
Comprehensive Citation Across the Data Life Cycle Using DDI
2014 · Larry Hoyle, Mary Vardigan, et al. · KU ScholarWorks (The University of Kansas) · 1
The Paradata Information Model
2013 · Jay Greenfield, Danielle Carpenter · KU ScholarWorks (University of Kansas) · 1
OHDSI GIS toolchain: documentation, GIS vocabulary tools, and synthetic benchmark and tutorial datasets
2026 · Williams, Andrew E., Zollo-Venecek, Kyle, et al. · Zenodo (CERN European Organization for Nuclear Research)
Migrating longitudinal African mental health data from staging to the OMOP common data model within the INSPIRE network datahub
2026 · Tathagata Bhattacharjee, Bylhah Mugotitsa, et al. · Frontiers in Psychiatry
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Enhancing mental health outcomes through a theory of change: supporting open-source data science platforms to promote FAIR data and evidence-based decisions
2025 · Bylhah Mugotitsa, Pauline Andeso, et al. · BMC Health Services Research
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Correction: Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study
2024 · David Amadi, Sylvia Kiwuwa-Muyingo, et al. · Online Journal of Public Health Informatics
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Correction: Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study (Preprint)
2024 · David Amadi, Sylvia Kiwuwa-Muyingo, et al.
User requirements elicitation study for ALPHA network data provenance documentation browsing software
2020 · Kanjala, Chifundo, Gregory, Arofan, et al. · London School of Hygiene & Tropical Medicine
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NCRN Meeting Spring 2014: Adaptive Protocols and the DDI 4 Process Model
2014 · Jay Greenfield, Sophia Kuan · eCommons (Cornell University)
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Panel - Generic Longitudinal Business Process Model
2013 · Ingo Barkow, William C. Block, et al. · KU ScholarWorks (The University of Kansas)
Works count: 28
Citation count: 84
H-index: 5
I10-index: 3
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