Data quality assurance and quality control measures in large multicenter stroke trials: the African-American Antiplatelet Stroke Prevention Study experience
Data quality assurance and quality control are critical to the effective conduct of a clinical trial. In the present commentary, we discuss our experience in a large, multicenter stroke trial. In addition to standard data quality control techniques, we have developed novel methods to enhance the entire process. Central to our methods is the use of clinical monitors who are trained in the techniques of data monitoring.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"009:25"
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| contactPoint |
{
"fn": "NIH",
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"hasEmail": "mailto:info@nih.gov"
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|
| description | Data quality assurance and quality control are critical to the effective conduct of a clinical trial. In the present commentary, we discuss our experience in a large, multicenter stroke trial. In addition to standard data quality control techniques, we have developed novel methods to enhance the entire process. Central to our methods is the use of clinical monitors who are trained in the techniques of data monitoring. |
| distribution |
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"@type": "dcat:Distribution",
"title": "Official Government Data Source",
"mediaType": "text/html",
"description": "Visit the original government dataset for complete information, documentation, and data access.",
"downloadURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC59632/"
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|
| identifier | https://healthdata.gov/api/views/butd-7e6v |
| issued | 2025-07-14 |
| keyword |
[
"african-americans",
"clinical-trial-data",
"nih",
"quality-assurance",
"stroke-prevention"
]
|
| landingPage | https://healthdata.gov/d/butd-7e6v |
| modified | 2025-09-06 |
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| publisher |
{
"name": "National Institutes of Health",
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|
| theme |
[
"NIH"
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|
| title | Data quality assurance and quality control measures in large multicenter stroke trials: the African-American Antiplatelet Stroke Prevention Study experience |
