CITI Research Study Design Practice Test

Data lifecycle management (DLM) can be described as encompassing tools and processes for handling data throughout its entire lifecycle. This includes stages such as data creation, storage, usage, sharing, and eventual archiving or deletion. The focus of DLM is on ensuring that data is managed efficiently and effectively, aligning with regulatory requirements and organizational policies. It allows for data integrity, security, and access control throughout all phases of the data lifecycle, ensuring that valuable information is not lost and is used to its full potential.

By providing a comprehensive framework, DLM helps researchers understand how to maintain data quality and accessibility, while also preparing for data sharing and long-term storage. This holistic approach contrasts sharply with the other options, which either limit the scope of DLM to specific phases or objectives, missing the broader essence of data management.