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...
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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 |
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