Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant System
Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies....
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Format: | Article |
Language: | English |
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SAGE Publishing
2009-04-01
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Series: | Cancer Informatics |
Online Access: | http://la-press.com/development-of-the-lymphoma-enterprise-architecture-database-a-cabigtm-a1395 |
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author | Taoying Huang Pareen J. Shenoy Rajni Sinha Michael Graiser Kevin W. Bumpers Christopher R. Flowers |
author_facet | Taoying Huang Pareen J. Shenoy Rajni Sinha Michael Graiser Kevin W. Bumpers Christopher R. Flowers |
author_sort | Taoying Huang |
collection | DOAJ |
description | Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies. We developed a cancer Biomedical Informatics Grid™ (caBIG™) Silver level compliant lymphoma database, called the Lymphoma Enterprise Architecture Data-system™ (LEAD™), which integrates the pathology, pharmacy, laboratory, cancer registry, clinical trials, and clinical data from institutional databases. We utilized the Cancer Common Ontological Representation Environment Software Development Kit (caCORE SDK) provided by National Cancer Institute’s Center for Bioinformatics to establish the LEAD™ platform for data management. The caCORE SDK generated system utilizes an n-tier architecture with open Application Programming Interfaces, controlled vocabularies, and registered metadata to achieve semantic integration across multiple cancer databases. We demonstrated that the data elements and structures within LEAD™ could be used to manage clinical research data from phase 1 clinical trials, cohort studies, and registry data from the Surveillance Epidemiology and End Results database. This work provides a clear example of how semantic technologies from caBIG™ can be applied to support a wide range of clinical and research tasks, and integrate data from disparate systems into a single architecture. This illustrates the central importance of caBIG™ to the management of clinical and biological data. |
first_indexed | 2024-12-16T07:40:06Z |
format | Article |
id | doaj.art-e797839b78b64eada819d32b65c78322 |
institution | Directory Open Access Journal |
issn | 1176-9351 |
language | English |
last_indexed | 2024-12-16T07:40:06Z |
publishDate | 2009-04-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Cancer Informatics |
spelling | doaj.art-e797839b78b64eada819d32b65c783222022-12-21T22:39:07ZengSAGE PublishingCancer Informatics1176-93512009-04-012009Semantic Technologie4564Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant SystemTaoying HuangPareen J. ShenoyRajni SinhaMichael GraiserKevin W. BumpersChristopher R. FlowersLymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies. We developed a cancer Biomedical Informatics Grid™ (caBIG™) Silver level compliant lymphoma database, called the Lymphoma Enterprise Architecture Data-system™ (LEAD™), which integrates the pathology, pharmacy, laboratory, cancer registry, clinical trials, and clinical data from institutional databases. We utilized the Cancer Common Ontological Representation Environment Software Development Kit (caCORE SDK) provided by National Cancer Institute’s Center for Bioinformatics to establish the LEAD™ platform for data management. The caCORE SDK generated system utilizes an n-tier architecture with open Application Programming Interfaces, controlled vocabularies, and registered metadata to achieve semantic integration across multiple cancer databases. We demonstrated that the data elements and structures within LEAD™ could be used to manage clinical research data from phase 1 clinical trials, cohort studies, and registry data from the Surveillance Epidemiology and End Results database. This work provides a clear example of how semantic technologies from caBIG™ can be applied to support a wide range of clinical and research tasks, and integrate data from disparate systems into a single architecture. This illustrates the central importance of caBIG™ to the management of clinical and biological data.http://la-press.com/development-of-the-lymphoma-enterprise-architecture-database-a-cabigtm-a1395 |
spellingShingle | Taoying Huang Pareen J. Shenoy Rajni Sinha Michael Graiser Kevin W. Bumpers Christopher R. Flowers Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant System Cancer Informatics |
title | Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant System |
title_full | Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant System |
title_fullStr | Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant System |
title_full_unstemmed | Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant System |
title_short | Development of the Lymphoma Enterprise Architecture Database: A caBIG(TM) Silver Level Compliant System |
title_sort | development of the lymphoma enterprise architecture database a cabig tm silver level compliant system |
url | http://la-press.com/development-of-the-lymphoma-enterprise-architecture-database-a-cabigtm-a1395 |
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