Clinical Research Data Management

Welcome to Clinical Data Management

What clinical data managers do, why trial data quality matters, where CDM fits in drug development, the skills you need and the path to your first CDM role.

The Drug Development Lifecycle

From discovery to approval and beyond — preclinical work, IND, Phase 1–4 trials, NDA/BLA submissions, regulators, timelines and where data management contributes at each step.

Clinical Trial Design Essentials

Endpoints, randomization, blinding, control groups, inclusion/exclusion criteria, sample size basics and study designs (parallel, crossover, adaptive) — and what each means for the data.

GCP & Regulations for Data Managers

ICH E6 Good Clinical Practice (including E6(R3)), 21 CFR Part 11 electronic records, data integrity (ALCOA+), informed consent, privacy (HIPAA, GDPR) and inspections.

Trial Team Roles & the Clinical Systems Landscape

Sponsor, CRO, site, CRA, medical monitor, biostatistics and safety roles; the system landscape (EDC, CTMS, IRT, eTMF, safety database, ePRO, labs) and how data flows between them.

Reading a Protocol Like a Data Manager

Protocol sections that drive data collection — objectives and endpoints, schedule of assessments, visit windows, eligibility, safety reporting — and turning them into a data collection plan.

The Data Management Plan (DMP)

What a DMP contains, who approves it, how it guides the study — data flow, systems, cleaning approach, coding, reconciliation, metrics, lock and archiving — and keeping it current.

CRF Design with CDASH

Designing eCRFs that sites can complete accurately — CDASH standards, field types, controlled terminology, avoiding duplicate or derived fields, and CRF completion guidelines.

EDC Database Build & User Acceptance Testing

How a study database is specified, built and validated — study design in the EDC, forms, visits, dynamics, roles, integrations, UAT scripts, test data, go-live and post-production changes.

Edit Checks: Specifying Automated Data Validation

Types of edit checks (required, range, date logic, cross-form, protocol), writing clear specifications and query text, balancing checks vs site burden, and testing them.

Data Entry, Data Review & Source Data Verification

How data flows from source to EDC, timeliness expectations, manual data review with listings, SDV and SDR by monitors, risk-based monitoring and protocol deviations.

Query Management

The query lifecycle (open, answered, closed, re-queried), writing effective manual queries, query metrics and aging, reducing query burden and working with sites.

Medical Coding with MedDRA & WHODrug

Why trial terms are coded, the MedDRA hierarchy (LLT→PT→HLT→HLGT→SOC), WHODrug and ATC classes, autocoding and manual coding, coding conventions, versions and medical review.

External Data & Reconciliation

Central labs, ECG, imaging, ePRO and IRT data — data transfer specifications, file formats and loads, reconciling external data against EDC, and handling mismatches.

Serious Adverse Events & SAE Reconciliation

AE vs SAE definitions, expedited reporting timelines, the separate safety database, reconciling SAE cases with the clinical database, discrepancy types and resolution.

CDISC Standards Overview

The CDISC family (CDASH, SDTM, ADaM, SEND, Define-XML, controlled terminology, therapeutic area standards), why regulators require them and how data flows from collection to submission.

SDTM Fundamentals

SDTM domains and classes (special purpose, interventions, events, findings, trial design), key variables (STUDYID, USUBJID, --SEQ, --TESTCD, VISITNUM), structure and mapping from CRFs.

Controlled Terminology & Codelists

CDISC Controlled Terminology from NCI EVS, extensible vs non-extensible codelists, mapping collected values, units, versions, and terminology checks in data cleaning.

ADaM & Analysis Traceability

ADaM principles, ADSL and BDS structures, common variables and flags, how analysis needs drive data cleaning, and the CDM–biostatistics partnership.

Define-XML & the Submission Package

What goes into a regulatory data package (SDTM, ADaM, Define-XML, aCRF, reviewer's guides), Define-XML content, conformance validation and common technical rejection pitfalls.

Risk-Based Quality Management

Quality by design, critical-to-quality factors, risk assessment, key risk indicators (KRIs), quality tolerance limits (QTLs), central statistical monitoring and CDM's role.

CDM Metrics & Status Reporting

The metrics data managers track (entry timeliness, query metrics, page status, SDV progress, coding and reconciliation status, cycle times) and building clear study status reports.

Audit Trails & Data Integrity Review

What audit trails contain, risk-based audit trail review, spotting suspicious patterns (late changes, frequent edits, off-hours entries, backdating), user access reviews and integrity investigations.

Database Lock, Unblinding & Unlock

Planning lock from day one, soft vs hard lock, the lock checklist, approvals, removing write access, unblinding, post-lock findings and the unlock/relock process.

Study Close-Out & Archiving

After lock: data archives and formats, site data return (PDFs of eCRFs), record retention, decommissioning systems, lessons learned and TMF completeness.

EDC Platforms & Clinical Data Integrations

The modern clinical data stack — EDC, unified clinical data platforms, IRT, eCOA, labs, EHR-to-EDC, APIs and CDISC ODM — and how integrations reduce manual work and errors.

SQL for Clinical Data Listings

Querying clinical data extracts with SQL — subject listings, visit compliance, AE summaries, lab abnormalities and cross-domain consistency checks for data review.

SAS, R & Python for Data Managers

Where programming fits in CDM, SAS in the pharma tradition, the growing role of R and Python, automating listings and checks, and reproducible, validated code.

Decentralized Trials, eCOA & EHR-to-EDC

Decentralized and hybrid trials, eConsent, eCOA/ePRO, wearables and sensors, home health visits, EHR-to-EDC data flows, and the new data management challenges they bring.

AI & Automation in Clinical Data Management

Where automation and AI help CDM (autocoding, anomaly detection, query suggestions, document generation, protocol digitization), risks, validation expectations and the evolving data manager role.

Safety Data & Pharmacovigilance for Data Managers

Adverse event data in depth — causality, expectedness, CTCAE grading, AESIs, pregnancy reporting, aggregate safety reviews, DSMBs and how CDM supports patient safety.

Oncology Trial Data

What's special about oncology trials — RECIST tumor assessments, response categories, progression, CTCAE grading, survival endpoints, data cuts and imaging core labs.

Patient-Reported Outcomes Data

Validated PRO instruments, scoring rules and missing items, recall periods, translations and licensing, compliance and analysis implications.

Vendor & CRO Oversight

Sponsor accountability, selecting and qualifying vendors, contracts and scope, oversight plans, KPIs, issue escalation and governance for outsourced data management.

Inspection Readiness for Data Management

Preparing for regulatory inspections and audits — the TMF, SOP compliance, typical CDM findings, storyboards, mock inspections and responding to findings with CAPAs.

CDM Career Paths & Employers

Roles from clinical data coordinator to data management lead and clinical data scientist, sponsor vs CRO vs vendor careers, adjacent paths and how to choose your direction.

Certification & Professional Development

SCDM and the CCDM credential, GCP certificates, CDISC training, SQL/R/SAS learning, professional communities, conferences and staying current with regulations.

Capstone: Build and Manage a Mini Clinical Study

Bring it all together: from a mini protocol to DMP, CRFs, EDC build, edit checks, UAT, simulated data entry and queries, coding, reconciliation, metrics and a mock database lock.

Interview Preparation for CDM Roles

Common technical and behavioral questions, scenario questions with model answers, practical tests (query writing, edit check specs, listings), and questions to ask employers.

Job-Ready: Resume, Applications & Your First 90 Days

Writing a CDM-focused resume and LinkedIn profile, applying strategically, onboarding with SOPs and systems, and succeeding in your first study assignments.