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Project Planning & Implementation
Data
Collection & Entry
Reporting
Quality
Control
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Project Planning & Implementation
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Project
Planning & Implementation. Planning and rigorous standards are critical
to the success of any data collection effort. DataBanque works closely with
its institutional and corporate clients to deliver consistency and quality
by laying a solid foundation:
- Documented and
standardized data collection and processing rules
- A computer-based
record tracking system to monitor data collection output and quality
for each study participant
- Well-designed,
user-friendly data collection forms based upon survey or form testing
and modification
- Clearly defined
quality measurement techniques and standards
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Data Collection & Entry
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DataBanque
employs a highly skilled team of interviewers, abstractors and data entry
personnel. Our interviewers are trained and experienced in administering
phone and mixed-mode surveys via a CATI system to ensure accuracy,
standardization and information security. Our abstraction personnel are
unparalleled in their quality and knowledge of industrial exposure studies
and our data entry staff keys data from a number of highly variable sources
including surveys, transcribed forms, and files.
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Reporting
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Reporting
quality and flexibility are fundamental to a large-scale research effort.
DataBanque provides its clients with comprehensive reporting on a monthly,
quarterly, and as needed basis. We deliver timely status reports and
documentation to investigators, in addition to providing program and
protocol evaluation and statistical reporting.
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Quality Control
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Delivering
quality requires accountability and DataBanque integrates systems to
monitor individual interviewer, abstractor, data entry, and reporting
personnel. For example, our quality procedures include:
- Bar coding used
throughout the system to ensure that all records are traceable to
original documentation for loss prevention and internal auditing
- Electronic
signatures with time stamping and status remarks for all personnel who
handle documentation
- Real-time
monitoring of error and accuracy rates
- 100% key
verification for all data entry
- Blind
re-abstraction of files to support an abstraction QA system
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