DW4TR: A Data Warehouse for Translational Research

Hai Hu; Mick Correll; Leonid Kvecher; Michelle Osmond; Jim Clark; Anthony Bekhash; Gwendolyn Schwab; De Gao; Jun Gao; Vladimir Kubatin; Craig D. Shriver; Jeffrey A. Hooke; Larry G. Maxwell; Albert J. Kovatich; Jonathan G. Sheldon; Michael N. Liebman; Richard J. Mural

doi:10.1016/j.jbi.2011.08.003

DW4TR: A Data Warehouse for Translational Research

Hai Hu^*, Mick Correll, Leonid Kvecher, Michelle Osmond, Jim Clark, Anthony Bekhash, Gwendolyn Schwab, De Gao, Jun Gao, Vladimir Kubatin, Craig D. Shriver, Jeffrey A. Hooke, Larry G. Maxwell, Albert J. Kovatich, Jonathan G. Sheldon, Michael N. Liebman, Richard J. Mural

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

The linkage between the clinical and laboratory research domains is a key issue in translational research. Integration of clinicopathologic data alone is a major task given the number of data elements involved. For a translational research environment, it is critical to make these data usable at the point-of-need. Individual systems have been developed to meet the needs of particular projects though the need for a generalizable system has been recognized. Increased use of Electronic Medical Record data in translational research will demand generalizing the system for integrating clinical data to support the study of a broad range of human diseases. To ultimately satisfy these needs, we have developed a system to support multiple translational research projects. This system, the Data Warehouse for Translational Research (DW4TR), is based on a light-weight, patient-centric modularly-structured clinical data model and a specimen-centric molecular data model. The temporal relationships of the data are also part of the model. The data are accessed through an interface composed of an Aggregated Biomedical-Information Browser (ABB) and an Individual Subject Information Viewer (ISIV) which target general users. The system was developed to support a breast cancer translational research program and has been extended to support a gynecological disease program. Further extensions of the DW4TR are underway. We believe that the DW4TR will play an important role in translational research across multiple disease types.

Original language	English
Pages (from-to)	1004-1019
Number of pages	16
Journal	Journal of Biomedical Informatics
Volume	44
Issue number	6
DOIs	https://doi.org/10.1016/j.jbi.2011.08.003
State	Published - Dec 2011
Externally published	Yes

Keywords

Data Warehouse
Ontology
Patient-centric data model
Translational research
User interface

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10.1016/j.jbi.2011.08.003

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Hu, H., Correll, M., Kvecher, L., Osmond, M., Clark, J., Bekhash, A., Schwab, G., Gao, D., Gao, J., Kubatin, V., Shriver, C. D., Hooke, J. A., Maxwell, L. G., Kovatich, A. J., Sheldon, J. G., Liebman, M. N., & Mural, R. J. (2011). DW4TR: A Data Warehouse for Translational Research. Journal of Biomedical Informatics, 44(6), 1004-1019. https://doi.org/10.1016/j.jbi.2011.08.003

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title = "DW4TR: A Data Warehouse for Translational Research",

abstract = "The linkage between the clinical and laboratory research domains is a key issue in translational research. Integration of clinicopathologic data alone is a major task given the number of data elements involved. For a translational research environment, it is critical to make these data usable at the point-of-need. Individual systems have been developed to meet the needs of particular projects though the need for a generalizable system has been recognized. Increased use of Electronic Medical Record data in translational research will demand generalizing the system for integrating clinical data to support the study of a broad range of human diseases. To ultimately satisfy these needs, we have developed a system to support multiple translational research projects. This system, the Data Warehouse for Translational Research (DW4TR), is based on a light-weight, patient-centric modularly-structured clinical data model and a specimen-centric molecular data model. The temporal relationships of the data are also part of the model. The data are accessed through an interface composed of an Aggregated Biomedical-Information Browser (ABB) and an Individual Subject Information Viewer (ISIV) which target general users. The system was developed to support a breast cancer translational research program and has been extended to support a gynecological disease program. Further extensions of the DW4TR are underway. We believe that the DW4TR will play an important role in translational research across multiple disease types.",

keywords = "Data Warehouse, Ontology, Patient-centric data model, Translational research, User interface",

author = "Hai Hu and Mick Correll and Leonid Kvecher and Michelle Osmond and Jim Clark and Anthony Bekhash and Gwendolyn Schwab and De Gao and Jun Gao and Vladimir Kubatin and Shriver, {Craig D.} and Hooke, {Jeffrey A.} and Maxwell, {Larry G.} and Kovatich, {Albert J.} and Sheldon, {Jonathan G.} and Liebman, {Michael N.} and Mural, {Richard J.}",

note = "Funding Information: We thank Mr. Anton Oleynikov, Mr. Faruk Cay, Mr. Raveen Sharma, Dr. Csaba Mihaly, Mr. Eric Babyak, and Dr. Yonghong Zhang, for their help in this project. We thank Ms. Joni Kohr, Dr. Hallgeir Rui, and Mr. John Eberhardt for their help in manuscript preparation and revision. We also thank the anonymous reviewers for their constructive comments that resulted in enhanced quality of this paper. This work was supported by the Clinical Breast Care Project, and the Gynecological Disease Program, with funds from the US Department of Defense through Henry Jackson Foundation for the Advancement of Military Medicine, Rockville, MD. The views expressed in this paper are those of the authors and do not reflect the official policy of the Department of the Army, Department of Defense, or the government of the United States.",

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doi = "10.1016/j.jbi.2011.08.003",

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AU - Clark, Jim

AU - Bekhash, Anthony

AU - Schwab, Gwendolyn

AU - Gao, De

AU - Gao, Jun

AU - Kubatin, Vladimir

AU - Shriver, Craig D.

AU - Hooke, Jeffrey A.

AU - Maxwell, Larry G.

AU - Kovatich, Albert J.

AU - Sheldon, Jonathan G.

AU - Liebman, Michael N.

AU - Mural, Richard J.

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DW4TR: A Data Warehouse for Translational Research

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Keywords

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