Data Management

Beginning with a review of the study’s objectives before the commencement of the actual analysis, Data Managers assist in the design of the database, ensuring that the appropriate endpoints are identified and the correct data points are collected to support the objectives of the study. Data Management then coordinates the collection, validation, organization, and standardization of data to be used for analysis. Bracy Analytics Standard Operating Procedures include the use of ClinPrep, our proprietary Data Standardization product for Clinical Trials Applications. Our Data Managers use a structured, detailed approach to not only design the study’s database, but collect, merge and concatenate data, providing the programmers and statisticians with the appropriate data to complete the analysis. Bracy Analytics is expert in the use of virtually all Structured Query Language Databases including Oracle (8i), MS Access, SQL Server 2000 (version 6/7), and mySQL. Data is typically captured and transmitted electronically and virtually any data source can be imported into and exported from SAS® to accomplish detailed analysis.