Managing clinical research data: software tools for hypothesis exploration.
Publication
, Journal Article
Starmer, CF; Dietz, MA
Published in: Environmental health perspectives
July 1990
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.
Duke Scholars
Published In
Environmental health perspectives
DOI
EISSN
1552-9924
ISSN
0091-6765
Publication Date
July 1990
Volume
87
Start / End Page
5 / 11
Related Subject Headings
- Toxicology
- Software
- Data Interpretation, Statistical
- 42 Health sciences
- 41 Environmental sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences
- 05 Environmental Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Starmer, C. F., & Dietz, M. A. (1990). Managing clinical research data: software tools for hypothesis exploration. Environmental Health Perspectives, 87, 5–11. https://doi.org/10.1289/ehp.90875
Starmer, C. F., and M. A. Dietz. “Managing clinical research data: software tools for hypothesis exploration.” Environmental Health Perspectives 87 (July 1990): 5–11. https://doi.org/10.1289/ehp.90875.
Starmer CF, Dietz MA. Managing clinical research data: software tools for hypothesis exploration. Environmental health perspectives. 1990 Jul;87:5–11.
Starmer, C. F., and M. A. Dietz. “Managing clinical research data: software tools for hypothesis exploration.” Environmental Health Perspectives, vol. 87, July 1990, pp. 5–11. Epmc, doi:10.1289/ehp.90875.
Starmer CF, Dietz MA. Managing clinical research data: software tools for hypothesis exploration. Environmental health perspectives. 1990 Jul;87:5–11.
Published In
Environmental health perspectives
DOI
EISSN
1552-9924
ISSN
0091-6765
Publication Date
July 1990
Volume
87
Start / End Page
5 / 11
Related Subject Headings
- Toxicology
- Software
- Data Interpretation, Statistical
- 42 Health sciences
- 41 Environmental sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences
- 05 Environmental Sciences