Making Accelerating Medicines Partnership Data Findable and Interoperable through a Common Data Model: Extending OMOP for Multi-Source Multimodal Data
- 1DataTecnica, LLC
Abstract
SysBio FAIRplex is a Common Fund Venture Program1 that catalogs and indexes data from the Accelerating Medicines Partnership(R) (AMP(R)) Program2 through a federated model in which data hosts retain custody of their datasets. The central piece of this work is the SysBio Common Data Model (SysBio CDM). AMP is a precompetitive public-private partnership started in 2014 that unites the resources of NIH and private partners to improve our understanding of disease pathways and transform current models for developing new treatments by: O_LIidentifying new targets, biomarkers, and development paradigms; C_LIO_LIdeveloping leading-edge tools and technologies; C_LIO_LIcollecting large-scale datasets and supporting analytics for open analysis by the public; and C_LIO_LIgenerating consensus platforms and procedures. C_LI A multidisciplinary Task Force was chartered to design the SysBio CDM by extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model3 into the -omics domain. The Task Force produced a Minimum Viable Product comprising nine OMOP tables; four extension tables for assay and file metadata; and a Common Data Element (CDE) Registry to specify field semantics. This manuscript describes the deliverable: the underlying design choices, the criteria applied in selecting and constructing the extension tables, how the extended model supports multimodal data integration across AMP projects, and what further work to support additional -omics modalities would entail. As an auxiliary methodology, the paper also describes the AI-assisted CDE harmonization workflow used to populate the model.
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BibTeX
@misc{tindall2026making,
title = {{Making Accelerating Medicines Partnership Data Findable and Interoperable through a Common Data Model: Extending OMOP for Multi-Source Multimodal Data}},
author = {C. Tindall and R. A. Long and B. Naughton and B. M. Mapes and D. Vismer and H. G. Skinner and J. Malenfant and M. R. Maurya and M. A. Nalls and S. Ramachandran and T. Nguyen and M. A. Peters and R. H. Scheuermann},
howpublished = {medRxiv},
year = {2026},
month = aug,
doi = {10.64898/2026.08.31.26361831},
url = {https://www.medrxiv.org/content/10.64898/2026.08.31.26361831v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Making Accelerating Medicines Partnership Data Findable and Interoperable through a Common Data Model: Extending OMOP for Multi-Source Multimodal Data
AU - C. Tindall
AU - R. A. Long
AU - B. Naughton
AU - B. M. Mapes
AU - D. Vismer
AU - H. G. Skinner
AU - J. Malenfant
AU - M. R. Maurya
AU - M. A. Nalls
AU - S. Ramachandran
AU - T. Nguyen
AU - M. A. Peters
AU - R. H. Scheuermann
PY - 2026
DA - 2026/08/31
PB - medRxiv
DO - 10.64898/2026.08.31.26361831
UR - https://www.medrxiv.org/content/10.64898/2026.08.31.26361831v1
AB - SysBio FAIRplex is a Common Fund Venture Program1 that catalogs and indexes data from the Accelerating Medicines Partnership(R) (AMP(R)) Program2 through a federated model in which data hosts retain custody of their datasets. The central piece of this work is the SysBio Common Data Model (SysBio CDM). AMP is a precompetitive public-private partnership started in 2014 that unites the resources of NIH and private partners to improve our understanding of disease pathways and transform current models for developing new treatments by: O_LIidentifying new targets, biomarkers, and development paradigms; C_LIO_LIdeveloping leading-edge tools and technologies; C_LIO_LIcollecting large-scale datasets and supporting analytics for open analysis by the public; and C_LIO_LIgenerating consensus platforms and procedures. C_LI A multidisciplinary Task Force was chartered to design the SysBio CDM by extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model3 into the -omics domain. The Task Force produced a Minimum Viable Product comprising nine OMOP tables; four extension tables for assay and file metadata; and a Common Data Element (CDE) Registry to specify field semantics. This manuscript describes the deliverable: the underlying design choices, the criteria applied in selecting and constructing the extension tables, how the extended model supports multimodal data integration across AMP projects, and what further work to support additional -omics modalities would entail. As an auxiliary methodology, the paper also describes the AI-assisted CDE harmonization workflow used to populate the model.
ER -