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SCDM CCDM Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 2
  • 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.
Thema 3
  • 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.
Thema 4
  • 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.
Thema 5
  • 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.

SCDM Certified Clinical Data Manager CCDM Prüfungsfragen mit Lösungen (Q56-Q61):

56. Frage
An organization has completed a study and wants to submit the data to the FDA using CDISC SDTM. Which of the following must be done?

Antwort: B

Begründung:
To submit study data to the FDA in CDISC SDTM format, the sponsor must map and transform the collected data from the study's operational database (e.g., EDC) into SDTM-compliant domains.
According to GCDMP (Chapter: Standards and Data Integration) and CDISC SDTM Implementation Guide, this process includes:
Mapping raw data elements from the clinical database to SDTM domains (e.g., DM, AE, VS).
Transforming data to comply with SDTM structural and naming conventions.
Validating the output using CDISC compliance tools (e.g., Pinnacle 21).
Re-entering data (B) is unnecessary, and a letter of intent (C) is not required. SDTM is explicitly accepted by FDA for both retrospective and prospective submissions, so (D) is incorrect.
Thus, option A is correct - map and transform existing data to SDTM format for regulatory submission.
Reference (CCDM-Verified Sources):
SCDM GCDMP, Chapter: Standards and Data Integration, Section 5.3 - Data Transformation and CDISC Mapping CDISC SDTM Implementation Guide, Version 3.4 - Data Conversion and Submission Requirements FDA Study Data Technical Conformance Guide, Section 2.2 - SDTM Mapping and Validation


57. Frage
What are the key deliverables for User Acceptance Testing?

Antwort: D

Begründung:
The key deliverables for User Acceptance Testing (UAT) are the Test Plan, Test Scripts, and Test Results.
According to the GCDMP (Chapter: Database Design and Validation), UAT is the final validation step before a clinical database is released for production. It confirms that the system performs according to user requirements and protocol specifications.
The deliverables include:
UAT Test Plan: Defines testing objectives, scope, acceptance criteria, and responsibilities.
UAT Test Scripts: Provide step-by-step instructions for testing database functionality, edit checks, and workflows.
UAT Test Results: Document actual test outcomes versus expected outcomes, including any deviations and their resolutions.
These deliverables form part of the system validation documentation required under FDA 21 CFR Part 11 and ICH E6 (R2) to demonstrate that the database has been properly validated.
Project Plans (option A) and Training (option B) occur in earlier phases, while eCRF Completion Guidelines (option D) support site data entry, not system validation.
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Database Design and Validation, Section 5.3 - User Acceptance Testing Deliverables FDA 21 CFR Part 11 - Validation Documentation Requirements ICH E6 (R2) Good Clinical Practice, Section 5.5.3 - System Validation Records


58. Frage
A Clinical Data Manager reads a protocol for a clinical trial to test the efficacy of an antiviral to counteract a new epidemic. The stated primary efficacy endpoint is 3-month survival. Which data element is needed for the primary efficacy endpoint?

Antwort: A

Begründung:
When the primary efficacy endpoint in a clinical trial is 3-month survival, the key data element required is the death date. This is because the survival endpoint is determined by calculating whether the subject lived or died within a defined time frame from study enrollment or randomization.
According to the GCDMP (Chapter: Data Management Planning and Study Start-up), the Clinical Data Manager (CDM) must identify and ensure the capture of all critical data elements necessary to evaluate the study endpoints. For time-to-event analyses (e.g., survival studies), accurate event dates (death date) are essential for endpoint derivation and statistical analysis.
Other data elements such as cause of death or date of autopsy (options B and C) may support secondary analyses or safety reviews but are not necessary to determine the survival endpoint itself. Similarly, birth date (option D) contributes to demographic data but is unrelated to the primary efficacy outcome.
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Data Management Planning and Study Start-up, Section 4.4 - Critical Data Identification for Endpoints ICH E9 - Statistical Principles for Clinical Trials, Section 2.2.3 - Time-to-Event Data Considerations FDA Guidance for Industry: Clinical Trial Endpoints for Drug Development


59. Frage
What additional task does the site study coordinator role perform when utilizing an EDC application compared to paper CRF?

Antwort: A

Begründung:
In paper-based trials, site staff (e.g., study coordinators) record data manually on paper Case Report Forms (CRFs), which are later transcribed by data entry personnel into an electronic database.
However, in EDC-based studies, the site coordinator is directly responsible for entering data into the EDC system. This eliminates the need for centralized double data entry and shortens data cleaning timelines.
The GCDMP (Chapter: Electronic Data Capture Systems) states that EDC systems shift certain tasks, including data entry, initial query response, and source verification preparation, to the site level. Yet, data entry remains the most significant additional responsibility compared to paper-based studies.
Option A (Query resolution) is performed in both EDC and paper-based systems.
Option C (Data curation) is typically a Data Management function.
Option D (Medical record abstraction) is part of source documentation, not specific to EDC.
Thus, option B (Data entry) is correct - it is the additional site coordinator duty unique to EDC environments.
Reference (CCDM-Verified Sources):
SCDM GCDMP, Chapter: Electronic Data Capture (EDC) Systems, Section 5.3 - Site Responsibilities and Workflow Changes ICH E6(R2) GCP, Section 5.5.3 - Data Entry and Role Delegation in Computerized Systems FDA Guidance for Industry: Computerized Systems Used in Clinical Investigations, Section 6.2 - Site-Level Data Entry Controls


60. Frage
Which protocol section best defines data needed for the primary study analysis?

Antwort: D

Begründung:
The study endpoints section of the protocol best defines the data required for the primary study analysis.
According to the Good Clinical Data Management Practices (GCDMP, Chapter: Data Management Planning and Study Start-up), the endpoint section specifies the critical efficacy and safety variables upon which the study's success criteria are based. These endpoints directly determine what data elements must be collected, validated, and analyzed. For example, if the primary endpoint is "change in systolic blood pressure from baseline to week 12," then data collection must include baseline and week 12 systolic blood pressure values and corresponding timepoints.
The schedule of events (option A) lists when data are collected but not their analytical relevance. The protocol synopsis (option C) provides a summary, while the ICH essential documents (option D) refer to trial documentation standards, not endpoint specifications.
Thus, the study endpoints section defines the core analytical data requirements for clinical data managers, biostatisticians, and programmers.
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Data Management Planning and Study Start-up, Section 5.2 - Defining Data Needed for Endpoints ICH E6 (R2) Good Clinical Practice, Section 6.3 - Trial Objectives and Endpoints FDA Guidance for Industry: Clinical Trial Endpoints for Drug Development and Approval


61. Frage
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