CPCD study guide
CPCD · Work through your exam, one topic at a time.
The Certified Professional in Clinical Data Management (CPCD) is a professional credential for people who run the data side of clinical trials: data managers, clinical data coordinators, database builders, and the programmers and monitors who work alongside them. It signals that a practitioner can take a study from protocol to locked database while keeping the record defensible under GCP and applicable regulatory expectations. The CPCD study guide has 9 sections and about 2,632 words.
01Clinical Data Management Fundamentals and Regulatory Environment
Clinical data management (CDM) is the discipline that turns raw study observations into a clean, traceable, analysis-ready database. A candidate must understand the data lifecycle: CRF design, data entry, validation, cleaning, coding, safety reconciliation, lock, and archival - and where each regulatory obligation attaches.
298 words, about 1 min02Study Start-Up and Data Management Planning
Start-up is where data management risk is designed in or designed out. The central deliverable is the Data Management Plan (DMP), which documents database structure, CRF conventions, edit-check strategy, coding dictionaries, SAE reconciliation, quality control, and lock procedures.
314 words, about 2 min03CRF Design and Database Build
CRF design translates protocol endpoints into structured data fields. Good design minimizes queries: use consistent naming, clear instructions, controlled vocabularies (dropdowns), and avoid free-text where coded data is needed.
302 words, about 2 min04Data Entry, Validation, and Discrepancy Management
Data entry moves source observations into the database; validation catches problems; discrepancy management resolves them. Know the entry modes: single entry, double entry (with comparison for discrepancies), and direct eCRF entry at the site.
306 words, about 2 min05Data Cleaning and Quality Control
Data cleaning is the systematic review that makes data consistent, complete, and analyzable. It combines automated edit checks, manual review listings, medical review, and cross-source reconciliation.
287 words, about 1 min06Coding and Data Standardization
Coding converts verbatim text (adverse events, medications, medical history) into standardized terms for analysis and regulatory submission. Know the dictionaries: MedDRA for adverse events and medical history (with System Organ Class and Preferred Term hierarchy, and version control), and WHO Drug (or equivalent) for concomitant medications (with ATC classification).
280 words, about 1 min07Safety Data Handling and Reconciliation
Safety data management ensures serious adverse events (SAEs) are captured, reported within regulatory timelines, and consistent across the safety database and the clinical database. Know the definitions: an SAE is any event resulting in death, life-threatening condition, hospitalization/prolongation, persistent disability, congenital anomaly, or requiring intervention to prevent one of these.
279 words, about 1 min08Database Lock, Study Close-Out, and Archival
Database lock is the formal point after which the database is frozen for analysis. Prerequisites: all queries resolved or documented as unresolvable, SAE reconciliation complete, coding complete, data review/medical review signed off, protocol deviations reconciled, and the lock checklist approved by authorized signatories.
287 words, about 1 min09Data Management Systems, Technology, and Data Integrity
Modern CDM runs on electronic systems: EDC (electronic data capture), ePRO, eSource, CTMS, and safety databases. Candidates must understand system validation (per GAMP/CSV principles), user access controls (unique IDs, role-based permissions), audit trails, and electronic signatures (21 CFR Part 11).
279 words, about 1 min