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The technology behind TB DEPOT: a novel public analytics platform integrating tuberculosis clinical, genomic, and radiological data for visual and statistical exploration
OBJECTIVE: Clinical research informatics tools are necessary to support comprehensive studies of infectious diseases. The National Institute of Allergy and Infectious Diseases (NIAID) developed the publicly accessible Tuberculosis Data Exploration Portal (TB DEPOT) to address the complex etiology of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454519/ https://www.ncbi.nlm.nih.gov/pubmed/33150354 http://dx.doi.org/10.1093/jamia/ocaa228 |
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author | Long, Alyssa Glogowski, Alexander Meppiel, Matthew De Vito, Lisa Engle, Eric Harris, Michael Ha, Grace Schneider, Darren Gabrielian, Andrei Hurt, Darrell E Rosenthal, Alex |
author_facet | Long, Alyssa Glogowski, Alexander Meppiel, Matthew De Vito, Lisa Engle, Eric Harris, Michael Ha, Grace Schneider, Darren Gabrielian, Andrei Hurt, Darrell E Rosenthal, Alex |
author_sort | Long, Alyssa |
collection | PubMed |
description | OBJECTIVE: Clinical research informatics tools are necessary to support comprehensive studies of infectious diseases. The National Institute of Allergy and Infectious Diseases (NIAID) developed the publicly accessible Tuberculosis Data Exploration Portal (TB DEPOT) to address the complex etiology of tuberculosis (TB). MATERIALS AND METHODS: TB DEPOT displays deidentified patient case data and facilitates analyses across a wide range of clinical, socioeconomic, genomic, and radiological factors. The solution is built using Amazon Web Services cloud-based infrastructure, .NET Core, Angular, Highcharts, R, PLINK, and other custom-developed services. Structured patient data, pathogen genomic variants, and medical images are integrated into the solution to allow seamless filtering across data domains. RESULTS: Researchers can use TB DEPOT to query TB patient cases, create and save patient cohorts, and execute comparative statistical analyses on demand. The tool supports user-driven data exploration and fulfills the National Institute of Health’s Findable, Accessible, Interoperable, and Reusable (FAIR) principles. DISCUSSION: TB DEPOT is the first tool of its kind in the field of TB research to integrate multidimensional data from TB patient cases. Its scalable and flexible architectural design has accommodated growth in the data, organizations, types of data, feature requests, and usage. Use of client-side technologies over server-side technologies and prioritizing maintenance have been important lessons learned. Future directions are dynamically prioritized and key functionality is shared through an application programming interface. CONCLUSION: This paper describes the platform development methodology, resulting functionality, benefits, and technical considerations of a clinical research informatics application to support increased understanding of TB. |
format | Online Article Text |
id | pubmed-8454519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84545192021-09-22 The technology behind TB DEPOT: a novel public analytics platform integrating tuberculosis clinical, genomic, and radiological data for visual and statistical exploration Long, Alyssa Glogowski, Alexander Meppiel, Matthew De Vito, Lisa Engle, Eric Harris, Michael Ha, Grace Schneider, Darren Gabrielian, Andrei Hurt, Darrell E Rosenthal, Alex J Am Med Inform Assoc Research and Applications OBJECTIVE: Clinical research informatics tools are necessary to support comprehensive studies of infectious diseases. The National Institute of Allergy and Infectious Diseases (NIAID) developed the publicly accessible Tuberculosis Data Exploration Portal (TB DEPOT) to address the complex etiology of tuberculosis (TB). MATERIALS AND METHODS: TB DEPOT displays deidentified patient case data and facilitates analyses across a wide range of clinical, socioeconomic, genomic, and radiological factors. The solution is built using Amazon Web Services cloud-based infrastructure, .NET Core, Angular, Highcharts, R, PLINK, and other custom-developed services. Structured patient data, pathogen genomic variants, and medical images are integrated into the solution to allow seamless filtering across data domains. RESULTS: Researchers can use TB DEPOT to query TB patient cases, create and save patient cohorts, and execute comparative statistical analyses on demand. The tool supports user-driven data exploration and fulfills the National Institute of Health’s Findable, Accessible, Interoperable, and Reusable (FAIR) principles. DISCUSSION: TB DEPOT is the first tool of its kind in the field of TB research to integrate multidimensional data from TB patient cases. Its scalable and flexible architectural design has accommodated growth in the data, organizations, types of data, feature requests, and usage. Use of client-side technologies over server-side technologies and prioritizing maintenance have been important lessons learned. Future directions are dynamically prioritized and key functionality is shared through an application programming interface. CONCLUSION: This paper describes the platform development methodology, resulting functionality, benefits, and technical considerations of a clinical research informatics application to support increased understanding of TB. Oxford University Press 2020-11-05 /pmc/articles/PMC8454519/ /pubmed/33150354 http://dx.doi.org/10.1093/jamia/ocaa228 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research and Applications Long, Alyssa Glogowski, Alexander Meppiel, Matthew De Vito, Lisa Engle, Eric Harris, Michael Ha, Grace Schneider, Darren Gabrielian, Andrei Hurt, Darrell E Rosenthal, Alex The technology behind TB DEPOT: a novel public analytics platform integrating tuberculosis clinical, genomic, and radiological data for visual and statistical exploration |
title | The technology behind TB DEPOT: a novel public analytics platform
integrating tuberculosis clinical, genomic, and radiological data for visual and
statistical exploration |
title_full | The technology behind TB DEPOT: a novel public analytics platform
integrating tuberculosis clinical, genomic, and radiological data for visual and
statistical exploration |
title_fullStr | The technology behind TB DEPOT: a novel public analytics platform
integrating tuberculosis clinical, genomic, and radiological data for visual and
statistical exploration |
title_full_unstemmed | The technology behind TB DEPOT: a novel public analytics platform
integrating tuberculosis clinical, genomic, and radiological data for visual and
statistical exploration |
title_short | The technology behind TB DEPOT: a novel public analytics platform
integrating tuberculosis clinical, genomic, and radiological data for visual and
statistical exploration |
title_sort | technology behind tb depot: a novel public analytics platform
integrating tuberculosis clinical, genomic, and radiological data for visual and
statistical exploration |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454519/ https://www.ncbi.nlm.nih.gov/pubmed/33150354 http://dx.doi.org/10.1093/jamia/ocaa228 |
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