Managing research data with self-documenting files.
Processing biomedical research data is frequently complex due to the evolutionary nature of experiments and the requisite modification of analysis software. For the past several years we have been evolving a set of software tools designed to improve our ability to respond to evolving experimental designs. These tools allow the investigator to easily manipulate the research data and specify desired data transformations at run time. Coupling of analysis software to research data files is dependent on data files that are commented in a manner similar to that used in programming languages. The resulting annotated data files are self-documenting, and their use facilitates visual interpretation of displayed data as well as automatic processing of subsets of data. Here we present a formal description of a self-documenting file and describe several software tools that facilitate processing of biomedical research data.
Duke Scholars
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- Software Design
- Software
- Research
- Medical Informatics
- Mathematical Computing
- Information Systems
- Electronic Data Processing
- Biomedical Engineering
- 4601 Applied computing
- 4203 Health services and systems
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Software Design
- Software
- Research
- Medical Informatics
- Mathematical Computing
- Information Systems
- Electronic Data Processing
- Biomedical Engineering
- 4601 Applied computing
- 4203 Health services and systems