Data Cleaning for Clinical Trials
What is Data Cleaning in Clinical Trials?
Data cleaning is the process through which clinical trial data is refined to produce, as a result, complete and correct data free of inconsistencies. The data cleaning procedure consists of reviewing the clinical data, detecting missing information and discrepancies, and issuing automatic and/or manual queries to the clinical site staff, to have these issues resolved. Data cleaning is a task typically led by clinical data managers, who are members of a CRO team.
Sofpromed’s Data Management Services
Sofpromed is a clinical research organization (CRO) specialized in providing data management services, including data cleaning. Our clinical data management capabilities include:
- Writing of Data Management Plan (DMP)
- Writing of Data Validation Plan (DVP)
- Case Report Form (CRF) design
- EDC system implementation
- Clinical data cleaning
Sofpromed’s CRO services are focused on phase I-IV clinical trials and post-marketing studies across multiple therapeutic areas (oncology, cardiovascular, metabolic, central nervous system, dermatology, infectious, and respiratory diseases, among others).