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SCDM CCDM Exam Syllabus Topics:

TopicDetails
Topic 1
  • Coordination and Project Management Tasks: This domain evaluates the skills of a Clinical Systems Analyst in coordinating data management workload, vendor selection, scheduling, cross-team communication, project timeline management, risk handling, metric tracking, and preparing for audits.
Topic 2
  • Review Tasks: This section measures the skills of Data Managers and involves reviewing protocols, CRFs, data tables, listings, figures, and clinical study reports (CSRs) for consistency, accuracy, and alignment with data handling definitions and regulatory requirements.
Topic 3
  • Testing Tasks: This section measures the skills of Data Managers and involves creating test plans, generating test data, executing validation and user acceptance testing, and documenting results to ensure systems and processes perform reliably and according to specifications.
Topic 4
  • Data Processing Tasks: This section measures skills of Clinical Systems Analysts and focuses on handling, transforming, integrating, reconciling, coding, querying, updating, and archiving study data while maintaining quality, consistency, and proper privileges over the data lifecycle.
Topic 5
  • Design Tasks: This section of the CCDM Exam measures skills of Data Managers and covers how to design and document data collection instruments, develop workflows and data flows, specify data elements, CRF forms, edit checks, reports, database structure, and define standards and procedures for traceability and auditability.

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SCDM Certified Clinical Data Manager Sample Questions (Q98-Q103):

NEW QUESTION # 98
An organization conducts over fifty studies per year. Currently each study is specified and set-up from scratch. Which of the following organizational infrastructure options would streamline database set-up and study-to-study consistency?

Answer: C

Explanation:
To improve efficiency and ensure consistency across multiple studies, the most effective infrastructure solution is to maintain a centralized library of standardized forms or screen modules (e.g., CRF/eCRF templates).
According to the Good Clinical Data Management Practices (GCDMP, Chapter: Database Design and Build), using a form library allows reuse of validated data collection modules for commonly collected domains such as demographics, adverse events, and vital signs. This reduces database setup time, enhances uniformity in data definitions, and ensures alignment with standards such as CDISC CDASH and SDTM.
While adopting ODM (A) provides standardized data exchange and interoperability, it does not inherently reduce setup workload. Improving design processes (C) enhances efficiency but doesn't guarantee consistency, and implementing controlled terminology (D) helps with coding standardization, not database structure.
Therefore, option B - maintaining a library of form or screen modules - provides the most direct and sustainable improvement for scalability and quality.
Reference (CCDM-Verified Sources):
SCDM GCDMP, Chapter: Database Design and Build, Section 5.3 - Use of Standard Libraries and Templates CDISC CDASH Implementation Guide, Section 3.2 - Reusable CRF Modules and Standardization ICH E6(R2) GCP, Section 5.5.3 - Standardization and Reuse in Data Collection Systems


NEW QUESTION # 99
The Scope of Work would answer which of the following information needs?

Answer: C

Explanation:
The Scope of Work (SOW) is a project management document that defines what services are included in the work agreement between the sponsor and the CRO or vendor. It outlines deliverables, responsibilities, timelines, and budget allocations.
According to the GCDMP (Chapter: Project Management in Data Management), the SOW includes specifications such as:
The number and frequency of data transfers,
Database build and lock milestones,
Quality control deliverables, and
Resource allocation for 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


NEW QUESTION # 100
Before the EDC system used for the trial is upgraded, what should be the data manager's first task?

Answer: B

Explanation:
Before implementing an EDC system upgrade, the first task of the Data Manager is to assess the impact on the data.
According to the GCDMP (Chapter: Electronic Data Capture Systems) and FDA 21 CFR Part 11, any system upgrade must undergo impact assessment to determine how the change might affect data integrity, functionality, validation, and ongoing study operations. This assessment ensures that no data are lost, corrupted, or rendered inconsistent during or after the upgrade.
The Data Manager should evaluate:
Potential effects on existing data, edit checks, and reports,
System functionality impacting current workflows, and
Any revalidation requirements.
Only after the impact is understood should the Data Manager proceed to communicate with sites (option A), update documentation (option B), or modify CRFs if required (option D).
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Electronic Data Capture Systems, Section 7.3 - System Upgrades and Change Control FDA 21 CFR Part 11 - Change Control and Validation Requirements ICH E6 (R2) Good Clinical Practice, Section 5.5.3 - Change Impact on Data Integrity and System Validation


NEW QUESTION # 101
Which information should be communicated by the Data Manager at regular intervals throughout a study?

Answer: A

Explanation:
The Data Manager (DM) plays a critical role in maintaining transparent communication with the clinical study team regarding data quality and study progress. One of the most essential metrics regularly reported by the DM is the percentage of data entered and cleaned.
According to the Good Clinical Data Management Practices (GCDMP, Chapter: Communication and Study Reporting), these metrics provide insight into study status, data readiness for interim analysis, and timeline predictability for database lock. Regular communication includes:
Percent of CRFs entered and verified
Percent of queries resolved
Outstanding data issues or missing pages
Other options fall outside the Data Manager's direct responsibility:
A (Enrollment) is typically reported by clinical operations.
B (Staffing changes) are handled by site management.
D (Safety events) are communicated by the safety/pharmacovigilance team.
Thus, option C correctly reflects the Data Manager's responsibility for ongoing study communication.
Reference (CCDM-Verified Sources):
SCDM GCDMP, Chapter: Communication and Study Reporting, Section 5.3 - Study Metrics and Status Updates ICH E6(R2) GCP, Section 5.1.1 - Communication and Oversight in Quality Management FDA Guidance for Industry: Computerized Systems Used in Clinical Investigations, Section 6.5 - Data Status Reporting


NEW QUESTION # 102
With the implementation of EDC, which company Standard Operating Procedure (SOP) would require updates for new procedures of handling data?

Answer: D

Explanation:
When a company transitions from paper-based data capture to Electronic Data Capture (EDC) systems, one of the most critical areas requiring procedural updates is the Data Review and Validation SOP. The introduction of EDC systems fundamentally changes how data is collected, reviewed, validated, and queried.
According to the Good Clinical Data Management Practices (GCDMP), the implementation of EDC introduces real-time data entry and review, automated edit checks, and electronic query management. These functionalities necessitate revised procedures to define how data validation, discrepancy management, and monitoring are conducted electronically. The SOP must specify roles, responsibilities, system access controls, and processes for electronic source verification (eSource), ensuring compliance with 21 CFR Part 11 and ICH E6 (R2) requirements.
Other SOPs such as Handling External Data or Data Backup may require minor updates, but the Data Review and Validation SOP undergoes the most extensive change because EDC technology shifts validation responsibilities from post-data entry review to real-time oversight within the system.
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Electronic Data Capture (EDC) Systems, Section 6.3 - SOP Adaptation for EDC Implementation FDA 21 CFR Part 11 - Electronic Records; Electronic Signatures ICH E6 (R2) Good Clinical Practice, Section 5.5.3 - Data Handling and Validation


NEW QUESTION # 103
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