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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...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
1990
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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. |
format | Text |
id | pubmed-1567815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1990 |
record_format | MEDLINE/PubMed |
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 |