data collection strategies in data science

Best practices for data collection in data science include defining clear objectives, choosing the right data sources, ensuring data quality, and maintaining security standards. Data should be accurate, complete, and relevant. Proper documentation and data collection strategies in data science version control improve data management. Ethical and legal compliance ensures responsible data usage. Following best practices leads to high-performing analytics systems.