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Managing clinical research data: software tools for hypothesis exploration.

Data representation, data file specification, and the communication of data between software systems are playing increasingly important roles in clinical data management. This paper describes the concept of a self-documenting file that contains annotations or comments that aid visual inspection of t...

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Detalles Bibliográficos
Autores principales: Starmer, C F, Dietz, M A
Formato: Texto
Lenguaje:English
Publicado: 1990
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1567815/
https://www.ncbi.nlm.nih.gov/pubmed/2269239
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author Starmer, C F
Dietz, M A
author_facet Starmer, C F
Dietz, M A
author_sort Starmer, C F
collection PubMed
description Data representation, data file specification, and the communication of data between software systems are playing increasingly important roles in clinical data management. This paper describes the concept of a self-documenting file that contains annotations or comments that aid visual inspection of the data file. We describe access of data from annotated files and illustrate data analysis with a few examples derived from the UNIX operating environment. Use of annotated files provides the investigator with both a useful representation of the primary data and a repository of comments that describe some of the context surrounding data capture.
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spelling pubmed-15678152006-09-18 Managing clinical research data: software tools for hypothesis exploration. Starmer, C F Dietz, M A Environ Health Perspect Research Article Data representation, data file specification, and the communication of data between software systems are playing increasingly important roles in clinical data management. This paper describes the concept of a self-documenting file that contains annotations or comments that aid visual inspection of the data file. We describe access of data from annotated files and illustrate data analysis with a few examples derived from the UNIX operating environment. Use of annotated files provides the investigator with both a useful representation of the primary data and a repository of comments that describe some of the context surrounding data capture. 1990-07 /pmc/articles/PMC1567815/ /pubmed/2269239 Text en
spellingShingle Research Article
Starmer, C F
Dietz, M A
Managing clinical research data: software tools for hypothesis exploration.
title Managing clinical research data: software tools for hypothesis exploration.
title_full Managing clinical research data: software tools for hypothesis exploration.
title_fullStr Managing clinical research data: software tools for hypothesis exploration.
title_full_unstemmed Managing clinical research data: software tools for hypothesis exploration.
title_short Managing clinical research data: software tools for hypothesis exploration.
title_sort managing clinical research data: software tools for hypothesis exploration.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1567815/
https://www.ncbi.nlm.nih.gov/pubmed/2269239
work_keys_str_mv AT starmercf managingclinicalresearchdatasoftwaretoolsforhypothesisexploration
AT dietzma managingclinicalresearchdatasoftwaretoolsforhypothesisexploration