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DADOS-Prospective: an open source application for Web-based prospective data collection
BACKGROUND: Randomized, prospective trials involving multi-institutional collaboration have become a central part of clinical and translational research. However, data management and coordination of multi-center studies is a complex process that involves developing systems for data collection and qu...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1679801/ https://www.ncbi.nlm.nih.gov/pubmed/17147787 http://dx.doi.org/10.1186/1751-0473-1-7 |
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author | Nguyen, Lam Shah, Anand Harker, Matthew Martins, Henrique McCready, Mariana Menezes, Andreia Jacobs, Danny O Pietrobon, Ricardo |
author_facet | Nguyen, Lam Shah, Anand Harker, Matthew Martins, Henrique McCready, Mariana Menezes, Andreia Jacobs, Danny O Pietrobon, Ricardo |
author_sort | Nguyen, Lam |
collection | PubMed |
description | BACKGROUND: Randomized, prospective trials involving multi-institutional collaboration have become a central part of clinical and translational research. However, data management and coordination of multi-center studies is a complex process that involves developing systems for data collection and quality control, tracking data queries and resolutions, as well as developing communication procedures. We describe DADOS-Prospective, an open-source Web-based application for collecting and managing prospective data on human subjects for clinical and translational trials. DADOS-Prospective not only permits users to create new clinical research forms (CRF) and supports electronic signatures, but also offers the advantage of containing, in a single environment, raw research data in downloadable spreadsheet format, source documentation and regulatory files stored in PDF format, and audit trails. RESULTS: Feedback from formal and field usability tests was used to guide the design and development of DADOS-Prospective. To date, DADOS-Prospective has been implemented in five prospective clinical studies at our institution. Four of these studies are still in the CRF creation phase and one study has been entirely launched. CONCLUSION: DADOS-Prospective has significant advantages over existing Web-based data collecting programs. At our institution, it has been demonstrated to be an efficient tool for prospective clinical studies. |
format | Text |
id | pubmed-1679801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-16798012006-12-02 DADOS-Prospective: an open source application for Web-based prospective data collection Nguyen, Lam Shah, Anand Harker, Matthew Martins, Henrique McCready, Mariana Menezes, Andreia Jacobs, Danny O Pietrobon, Ricardo Source Code Biol Med Methodology BACKGROUND: Randomized, prospective trials involving multi-institutional collaboration have become a central part of clinical and translational research. However, data management and coordination of multi-center studies is a complex process that involves developing systems for data collection and quality control, tracking data queries and resolutions, as well as developing communication procedures. We describe DADOS-Prospective, an open-source Web-based application for collecting and managing prospective data on human subjects for clinical and translational trials. DADOS-Prospective not only permits users to create new clinical research forms (CRF) and supports electronic signatures, but also offers the advantage of containing, in a single environment, raw research data in downloadable spreadsheet format, source documentation and regulatory files stored in PDF format, and audit trails. RESULTS: Feedback from formal and field usability tests was used to guide the design and development of DADOS-Prospective. To date, DADOS-Prospective has been implemented in five prospective clinical studies at our institution. Four of these studies are still in the CRF creation phase and one study has been entirely launched. CONCLUSION: DADOS-Prospective has significant advantages over existing Web-based data collecting programs. At our institution, it has been demonstrated to be an efficient tool for prospective clinical studies. BioMed Central 2006-11-13 /pmc/articles/PMC1679801/ /pubmed/17147787 http://dx.doi.org/10.1186/1751-0473-1-7 Text en Copyright © 2006 Nguyen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Nguyen, Lam Shah, Anand Harker, Matthew Martins, Henrique McCready, Mariana Menezes, Andreia Jacobs, Danny O Pietrobon, Ricardo DADOS-Prospective: an open source application for Web-based prospective data collection |
title | DADOS-Prospective: an open source application for Web-based prospective data collection |
title_full | DADOS-Prospective: an open source application for Web-based prospective data collection |
title_fullStr | DADOS-Prospective: an open source application for Web-based prospective data collection |
title_full_unstemmed | DADOS-Prospective: an open source application for Web-based prospective data collection |
title_short | DADOS-Prospective: an open source application for Web-based prospective data collection |
title_sort | dados-prospective: an open source application for web-based prospective data collection |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1679801/ https://www.ncbi.nlm.nih.gov/pubmed/17147787 http://dx.doi.org/10.1186/1751-0473-1-7 |
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