A suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses

<p>Abstract</p> <p>Background</p> <p>We describe a system of web applications designed to streamline the interdisciplinary collaboration in outcomes research.</p> <p>Description</p> <p>The outcomes research process can be described as a set of th...

Full description

Bibliographic Details
Main Authors: Higgins Laurence D, Menezes Andreia P, Martins Henrique, Guller Ulrich, Pietrobon Ricardo, Jacobs Danny O
Format: Article
Language:English
Published: BMC 2004-12-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:http://www.biomedcentral.com/1471-2288/4/29
id doaj-de05e43612164de1b753d3ef715fcfa5
record_format Article
spelling doaj-de05e43612164de1b753d3ef715fcfa52020-11-25T00:22:34ZengBMCBMC Medical Research Methodology1471-22882004-12-01412910.1186/1471-2288-4-29A suite of web applications to streamline the interdisciplinary collaboration in secondary data analysesHiggins Laurence DMenezes Andreia PMartins HenriqueGuller UlrichPietrobon RicardoJacobs Danny O<p>Abstract</p> <p>Background</p> <p>We describe a system of web applications designed to streamline the interdisciplinary collaboration in outcomes research.</p> <p>Description</p> <p>The outcomes research process can be described as a set of three interrelated phases: design and selection of data sources, analysis, and output. Each of these phases has inherent challenges that can be addressed by a group of five web applications developed by our group. QuestForm allows for the formulation of relevant and well-structured outcomes research questions; Research Manager facilitates the project management and electronic file exchange among researchers; Analysis Charts facilitate the communication of complex statistical techniques to clinicians with varying previous levels of statistical knowledge; Literature Matrices improve the efficiency of literature reviews. An outcomes research question is used to illustrate the use of the system.</p> <p>Conclusions</p> <p>The system presents an alternative to streamline the interdisciplinary collaboration of clinicians, statisticians, programmers, and graduate students.</p> http://www.biomedcentral.com/1471-2288/4/29biomedical researchstatistical data interpretationresearch designplanning techniquesInternetcomputer-assisted instruction
collection DOAJ
language English
format Article
sources DOAJ
author Higgins Laurence D
Menezes Andreia P
Martins Henrique
Guller Ulrich
Pietrobon Ricardo
Jacobs Danny O
spellingShingle Higgins Laurence D
Menezes Andreia P
Martins Henrique
Guller Ulrich
Pietrobon Ricardo
Jacobs Danny O
A suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses
BMC Medical Research Methodology
biomedical research
statistical data interpretation
research design
planning techniques
Internet
computer-assisted instruction
author_facet Higgins Laurence D
Menezes Andreia P
Martins Henrique
Guller Ulrich
Pietrobon Ricardo
Jacobs Danny O
author_sort Higgins Laurence D
title A suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses
title_short A suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses
title_full A suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses
title_fullStr A suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses
title_full_unstemmed A suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses
title_sort suite of web applications to streamline the interdisciplinary collaboration in secondary data analyses
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2004-12-01
description <p>Abstract</p> <p>Background</p> <p>We describe a system of web applications designed to streamline the interdisciplinary collaboration in outcomes research.</p> <p>Description</p> <p>The outcomes research process can be described as a set of three interrelated phases: design and selection of data sources, analysis, and output. Each of these phases has inherent challenges that can be addressed by a group of five web applications developed by our group. QuestForm allows for the formulation of relevant and well-structured outcomes research questions; Research Manager facilitates the project management and electronic file exchange among researchers; Analysis Charts facilitate the communication of complex statistical techniques to clinicians with varying previous levels of statistical knowledge; Literature Matrices improve the efficiency of literature reviews. An outcomes research question is used to illustrate the use of the system.</p> <p>Conclusions</p> <p>The system presents an alternative to streamline the interdisciplinary collaboration of clinicians, statisticians, programmers, and graduate students.</p>
topic biomedical research
statistical data interpretation
research design
planning techniques
Internet
computer-assisted instruction
url http://www.biomedcentral.com/1471-2288/4/29
work_keys_str_mv AT higginslaurenced asuiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT menezesandreiap asuiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT martinshenrique asuiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT gullerulrich asuiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT pietrobonricardo asuiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT jacobsdannyo asuiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT higginslaurenced suiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT menezesandreiap suiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT martinshenrique suiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT gullerulrich suiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT pietrobonricardo suiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
AT jacobsdannyo suiteofwebapplicationstostreamlinetheinterdisciplinarycollaborationinsecondarydataanalyses
_version_ 1725359254933602304