Two key principles should guide your data management: 1) protecting the privacy of study subjects, and 2) ensuring the scientific integrity of your study.
Privacy protection concerns your study subjects as well as researchers and institutions. Ensuring scientific integrity includes ensuring data quality, protecting your data from malicious access, and safeguarding the ability to interpret the data correctly.
This third chapter of HANDS explains how to ensure all of this by:
The best time to consider and describe these issues is at the start of your project.