CCDM Questions Bank

Assuming the data transfer, integration, and validation processes are properly controlled and compliant,electronic acquisitionof clinical data from medical devices is preferred because it allowsmore frequent and accurate data collection, leading to higher data resolution and integrity.

Per theGCDMP (Chapter: Technology and Data Integration), automated data collection minimizes manual transcription and reduces latency in data capture, ensuring both efficiency and completeness. While manual processes introduce human transcription errors and limit frequency, continuous electronic data capture can record thousands of accurate, time-stamped measurements, improving the study’s analytical power.

However,option Dslightly overstates the case — human error isreduced, not entirely eliminated, since setup, calibration, and integration still involve human oversight. Therefore,option Cis the best and most precise response, emphasizing the advantage of more robust and complete data capture.

Reference (CCDM-Verified Sources):

SCDM GCDMP, Chapter: Technology and Data Integration, Section 5.4 – Automated Data Acquisition and Validation

ICH E6(R2) GCP, Section 5.5.3 – Validation of Computerized Systems and Electronic Data Sources

FDA Guidance for Industry: Computerized Systems Used in Clinical Investigations, Section 6.3 – Direct Data Capture from Instruments and Devices

TheScope of Work (SOW)is a project management document that defineswhat services are includedin the work agreement between the sponsor and the CRO or vendor. It outlines deliverables, responsibilities, timelines, and budget allocations.

According to theGCDMP (Chapter: Project Management in Data Management), the SOW includes specifications such as:

The number and frequency ofdata transfers,

Database build and lockmilestones,

Quality control deliverables, and

Resource allocationfor data management tasks.

The SOW does not cover operational site-level details such as monitoring schedules (B), protocol sampling details (C), or personnel contact lists (D).

Therefore,option A (number of data transfers budgeted for a project)correctly identifies a use case directly addressed in the SOW.

Reference (CCDM-Verified Sources):

SCDM GCDMP, Chapter: Project Management, Section 4.1 – Scope of Work and Resource Planning

ICH E6(R2) GCP, Section 5.5 – Sponsor Oversight and Data Management Responsibilities

PMI Project Management Framework – Scope Definition and Deliverable Specifications

This event qualifies as aSerious Adverse Event (SAE)because itresulted in a prolonged hospitalization, even though the episode itself was mild.

According toICH E2AandGCDMP (Chapter: Safety Data Handling and Reconciliation), an adverse event is considered“serious”if it results in any of the following outcomes:

Death,

Life-threatening situation,

Hospitalization or prolongation of existing hospitalization,

Persistent or significant disability/incapacity, or

Congenital anomaly/birth defect.

The severity (mild, moderate, severe) describesintensity, while seriousness describesregulatory significance and medical outcome. Thus, a mild tachycardia episode leading to extended hospital stay meets theregulatory definition of an SAE.

Reference (CCDM-Verified Sources):

SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Safety Data Handling and Reconciliation, Section 5.2 – Definition and Classification of Serious Adverse Events

ICH E2A – Clinical Safety Data Management: Definitions and Standards for Expedited Reporting, Section II – Seriousness Criteria

FDA 21 CFR 312.32 – IND Safety Reporting: Serious Adverse Event Definitions

Theprimary reasondata managers review data before a monitor’s review is toidentify and flag discrepancies or inconsistenciesso that site monitors can focus their efforts more efficiently during on-site or remote source data verification (SDV).

According to theGood Clinical Data Management Practices (GCDMP, Chapter on Data Validation and Cleaning), proactive data review by data management staff ensures data completeness and accuracy by identifying missing, inconsistent, or out-of-range values. This pre-review helps streamline the monitoring process, reduces the volume of open queries, and enhances data quality.

Option A is true but not the main reason for pre-monitor review. Option C highlights a capability rather than a rationale. Option D is partially correct, but the GCDMP emphasizesprocess purpose, not prescriptive order. Thus,option Bcorrectly captures the practical and process-oriented reason for early data review—to ensure data are ready and accurate for the monitor’s review phase.

Reference (CCDM-Verified Sources):

SCDM GCDMP, Chapter: Data Validation and Cleaning, Section 5.3 – Data Review Timing and Purpose

ICH E6(R2) GCP, Section 5.18 – Monitoring and Data Verification Requirements