The study protocol is the master document that describes how a study will be conducted.

It typically contains:

• Background and rationale – Provides the scientific and clinical context, summarizing existing evidence and justifying the need for the study.
• Study objectives – Clearly defines the primary and secondary aims that the study is designed to address.
• Hypotheses – Specifies the testable assumptions or expected outcomes that guide the study’s analysis.
• Study design – დეტails the methodological framework, including study type, randomization, blinding, and control strategy.
• Eligibility criteria – Defines inclusion and exclusion criteria to ensure an appropriate and consistent study population.
• Study procedures – Describes all protocol-required activities, interventions, and assessments participants will undergo.
• Visit schedules – Outlines the timing, sequence, and structure of participant visits and associated assessments.
• Safety assessments – Specifies procedures for monitoring, recording, and reporting adverse events and participant safety.
• Outcome measures – Defines primary and secondary endpoints used to evaluate efficacy and safety.
• Statistical analysis plan – Describes the planned statistical methods, analysis populations, and handling of missing data.
• Ethical considerations – Ensures compliance with ethical standards, including informed consent, confidentiality, and regulatory requirements.

For data managers, the protocol serves as the blueprint for database design.

Every field created in a database should be traceable to a protocol requirement.

A useful principle is:

If a variable is not required to answer a study objective, monitor participant safety, demonstrate compliance, or support analysis, it probably should not be collected.