Title |
Informatics and data quality at collaborative multicenter Breast and Colon Cancer Family Registries
|
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Published in |
Journal of the American Medical Informatics Association, February 2012
|
DOI | 10.1136/amiajnl-2011-000546 |
Pubmed ID | |
Authors |
Peter B McGarvey, Sweta Ladwa, Mauricio Oberti, Anca Dana Dragomir, Erin K Hedlund, David Michael Tanenbaum, Baris E Suzek, Subha Madhavan |
Abstract |
Quality control and harmonization of data is a vital and challenging undertaking for any successful data coordination center and a responsibility shared between the multiple sites that produce, integrate, and utilize the data. Here we describe a coordinated effort between scientists and data managers in the Cancer Family Registries to implement a data governance infrastructure consisting of both organizational and technical solutions. The technical solution uses a rule-based validation system that facilitates error detection and correction for data centers submitting data to a central informatics database. Validation rules comprise both standard checks on allowable values and a crosscheck of related database elements for logical and scientific consistency. Evaluation over a 2-year timeframe showed a significant decrease in the number of errors in the database and a concurrent increase in data consistency and accuracy. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Spain | 1 | 2% |
Unknown | 40 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 19% |
Student > Ph. D. Student | 7 | 17% |
Student > Master | 6 | 14% |
Student > Doctoral Student | 2 | 5% |
Unspecified | 2 | 5% |
Other | 8 | 19% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 26% |
Computer Science | 5 | 12% |
Social Sciences | 5 | 12% |
Agricultural and Biological Sciences | 4 | 10% |
Business, Management and Accounting | 2 | 5% |
Other | 7 | 17% |
Unknown | 8 | 19% |