DADOS-Prospective: An open source application for Web-based prospective data collection

Lam Nguyen, Anand Shah, Matthew Harker, Henrique Martins, Mariana McCready, Andreia Menezes, Danny O. Jacobs, Ricardo Pietrobon

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


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.

Original languageEnglish (US)
Article number7
JournalSource Code for Biology and Medicine
StatePublished - Nov 13 2006
Externally publishedYes

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Health Informatics
  • Information Systems and Management


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