Clinical Research Data Management Capabilities | Clinical Research Data Management Guide

Administration & Technology

Multi-site management Administering sites, site staff, roles, and access across a multi-site study.
Multi-study management Running many studies on one installation with shared libraries, users, and oversight.
Database lock Freezing and locking data at the form, visit, participant, and study level, with controlled unlock.
Archiving and retention Producing the end-of-study archive — final data, metadata, audit trail, site copies — and meeting retention requirements.
Training tracking Tracking that site and study staff completed required system and protocol training before access.
Accessibility Support for assistive technologies and accessibility standards, for both staff and participant-facing interfaces.
AI-assisted functions AI-assisted functionality such as query suggestion, coding assistance, or anomaly detection, where offered.

Audit trails Recording who changed what, when, and why — the record 21 CFR Part 11 and GCP inspections rely on.
Electronic signatures Part 11-compliant signatures for investigator approval, casebook sign-off, and controlled documents.
Role-based permissions Controlling who can see and do what, by role, site, and study.
Data de-identification Removing or transforming identifiers so data can be shared or analyzed with reduced privacy risk.
Data provenance Tracing where each value came from — source, transformations, and versions — across the data lifecycle.
Security controls Security capabilities such as encryption, MFA, single sign-on, and session controls.
Validation documentation Vendor-supplied validation packages and change control supporting a compliant, documented system lifecycle.

Electronic data capture Site-based entry of participant data into electronic case report forms, replacing paper CRFs.
Participant-reported outcomes Patient- and clinician-reported outcomes captured electronically (ePRO/eCOA), on provisioned devices or participants' own.
Mobile and offline collection Capturing data from phones and tablets, including offline entry where connectivity is poor.
Laboratory data Loading central and local laboratory results with units, reference ranges, and out-of-range flagging.
Imaging and device data Ingesting data from imaging systems, medical devices, wearables, and sensors used in the study.
EHR integration Pulling data from electronic health records into the research dataset, including FHIR-based approaches.
Multilingual studies Running studies in multiple languages: translated forms, participant materials, and locale handling.

Data validation Systematic checks that entered data is complete, consistent, and plausible, beyond individual edit checks.
Query management Raising, tracking, answering, and closing data queries with sites, manually and from edit checks.
Source-data review Supporting source data verification and review workflows, including targeted and risk-based approaches.
Monitoring support Working views for monitors: entry status, outstanding queries, visit completion, and remote monitoring access.
Data reconciliation Comparing study data against third-party data (labs, safety systems, IRT) and resolving discrepancies.

Eligibility and enrollment Screening participants against inclusion and exclusion criteria and enrolling them with entry dates and identifiers.
Electronic consent Presenting, signing, versioning, and re-consenting participants electronically (eConsent).
Participant portals A portal where participants complete tasks, see schedules, and interact with the study remotely.
Longitudinal follow-up Structured long-term follow-up data collection beyond the core study window, including registries.

MedDRA coding Coding adverse events, medical history, and indications against the MedDRA dictionary.
WHODrug coding Coding concomitant medications against the WHODrug Global dictionary.
Coding workflow and autocoding Automatic dictionary matching, synonym lists, assignment, review, and dictionary version upgrades mid-study.

Randomization Randomizing participants to treatment arms (RTSM/IWRS), with stratification and block designs.
Blinding controls Keeping blinded data hidden from the wrong roles, with controlled and documented unblinding.
Trial supply management Managing investigational product inventory, kit assignment, resupply, and expiry across sites.

Reporting and dashboards Operational reports and visual dashboards: entry status, query aging, missing pages, and study progress.
Custom reporting Building and saving custom reports and listings without vendor involvement.
Enrollment and site metrics Tracking screening, enrollment, and retention against targets, by site and overall.

Adverse-event data Capturing adverse events and serious adverse events with the fields expedited reporting requires.
Safety reconciliation Reconciling the clinical database against the safety/pharmacovigilance database, including exchange formats such as E2B.

CDISC standards support Alignment with CDISC standards: CDASH-based collection, SDTM export or mapping, and ODM import/export.
Metadata and data dictionaries Machine-readable study metadata: variable definitions, codelists, and annotated CRFs.
APIs and data import A documented programming interface and bulk import paths for reading and writing study data and metadata.
Data export Getting data out: SAS, CSV, and Excel exports and bulk extraction for statisticians and external analysis.
Statistical-system integration Connections to statistical environments: SAS transport files, R access, and analysis-ready extracts.
Integrations Pre-built connections to other clinical systems: CTMS, eTMF, IRT, safety, imaging, and EHRs.

Protocol and study design Translating the protocol into a structured study definition: arms, visits, events, and data requirements.
eCRF design Building electronic case report forms with a form designer: fields, layouts, coded lists, and conditional logic.
Edit checks Programmed validation rules that fire during or after data entry to catch missing, inconsistent, or out-of-range values.
Visit scheduling Defining visit windows, event calendars, and expected-visit logic, including unscheduled visits.
Form and study libraries Reusable forms, standards-aligned libraries, and copying study structures from prior studies.
Mid-study changes Amending forms, edit checks, and schedules on a live study, with versioning and controlled migration of existing data.