How to set up a database?-a five-step process.

Area of Science:

• Clinical Research Data Management
• Database Design and Validation

Background:

• Database setup is critical for the quality and viability of clinical research data.
• Effective data management processes are essential for high-quality databases.
• Over-collection of data can compromise research objectives and information quality.

Purpose of the Study:

• To emphasize the importance of cautious data selection and management in clinical research.
• To highlight the role of Case Report Forms (CRF) in data collection and database design.
• To outline key elements for successful database setup, validation, and compliance with regulations like GDPR.

Main Methods:

• Utilizing well-structured Case Report Forms (CRF) for data collection.
• Implementing sequential or thematic structuring, defining data types, and adhering to data standards.
• Employing unique patient IDs, one record per subject/measure, and clear database specifications for variables.

Main Results:

• A well-designed database, structured with unique patient IDs and specific variable information, is crucial.
• Data quality directly correlates with the accuracy and completeness of CRF completion.
• Data validation is achieved through CRF completion guidelines, Edit Checks, and Data Clarification processes.

Conclusions:

• High-quality clinical research relies on meticulously planned and executed database setup and data management.
• Adherence to data standards, validation processes, and regulations such as the General Data Protection Regulation (GDPR) is paramount.
• Appropriate software solutions can facilitate the creation and management of clinical databases and CRFs.