What is a best practice for the Data Manager when designing a database?

What is a best practice for the Data Manager when designing a database?

• A. Use proprietary formats for top security
• B. Implement standardized protocols to boost consistency
• C. Minimize the use of technology to reduce costs
• D. Avoid using any existing standards to ensure uniqueness

Answer: (B)

Implementing standardized protocols when designing a database is essential because it enhances consistency across the system. Standardized protocols help ensure that data entry, storage, and retrieval processes are uniform, making it easier for users to interact with the database effectively. This uniformity minimizes errors and discrepancies, which is particularly crucial when dealing with sensitive data, such as that related to research involving prisoners. In addition, standardized protocols facilitate data sharing and integration across different systems and platforms, which is vital for collaborative research efforts. By adhering to established standards, a Data Manager promotes best practices that enhance data quality, accessibility, and usability, thereby streamlining the research process and ensuring better compliance with ethical guidelines. The other choices suggest approaches that could introduce risks or inefficiencies. For instance, using proprietary formats could create barriers to data sharing and hinder collaboration, while minimizing technology or avoiding existing standards might lead to data inconsistencies and increased operational risks.

Implementing standardized protocols when designing a database is essential because it enhances consistency across the system. Standardized protocols help ensure that data entry, storage, and retrieval processes are uniform, making it easier for users to interact with the database effectively. This uniformity minimizes errors and discrepancies, which is particularly crucial when dealing with sensitive data, such as that related to research involving prisoners.

In addition, standardized protocols facilitate data sharing and integration across different systems and platforms, which is vital for collaborative research efforts. By adhering to established standards, a Data Manager promotes best practices that enhance data quality, accessibility, and usability, thereby streamlining the research process and ensuring better compliance with ethical guidelines.

The other choices suggest approaches that could introduce risks or inefficiencies. For instance, using proprietary formats could create barriers to data sharing and hinder collaboration, while minimizing technology or avoiding existing standards might lead to data inconsistencies and increased operational risks.