Applies the principles, procedures, and tools of data management, including modeling techniques, data backup and recovery, data dictionaries, data warehousing, data mining, data archiving, data disposal, data standardization, and data integrity and security through adherence to data standards and policies.
Key Behaviors
- Develops guidelines, policies, and standards for data science activities/operations.
- Determines and recommends data science goals, strategies, and success metrics to ensure continuous evaluation and improvement.
- Identifies data science gaps to recommend new efforts, studies, or initiatives to advance organizational research.
- Implements policies and procedures to ensure compliance with research program requirements and regulations.
- Establishes research proposals, grants, or contracts by assessing technical feasibility and compliance with program objectives.
Developmental opportunities for this competency are available from the NIH Training Center.