Clinical trial data arrives inconsistent: malformed NCT IDs, unstandardised researcher identifiers, mixed phase labels, and incomplete registry codes. ColtraDataAi validates, standardises, and produces a documented trial register, audit-ready from the first run.
Clinical trial data quality problems that slow down submissions, audits, and reporting.
Trial IDs entered without zero-padding, missing NCT prefixes, or in inconsistent formats fail validation at submission stage and require manual correction across hundreds of rows.
Researcher IDs entered in varying formats (RES001, R001, 001) make it impossible to link trials to investigators accurately without manual normalisation that takes hours.
Phase labels like "Phase 2", "phase II", "P2", and "Ph 2" coexist in the same dataset. Status values fluctuate between "Active", "Ongoing", "In Progress". Reporting is unreliable until these are standardised.
Sponsor reports and ethics submissions require a structured register linking each investigator to their trials. Building this manually from raw CTMS exports takes hours and introduces transcription errors.
Specialist Clinical Research mode applies trial-specific validation and produces a nested researcher-to-trial register alongside your cleaned dataset.
Normalises NCT IDs to the standard NCTXXXXXXXX format with correct zero-padding. Validates ISRCTN and EudraCT codes and flags any entries that do not conform to registry standards.
Validates researcher identifiers against the RES-NNNN format, flags non-conforming entries, and standardises researcher names for consistent linking across the trial register.
Standardises trial phase labels (Phase I through Phase IV) and status values (Recruiting, Active, Completed, Terminated, Withdrawn, Suspended) across the entire dataset in one pass.
Generates a structured output linking each verified investigator to their trials, with phase, status, and ID validity flags. Ready to include in sponsor reports or ethics submissions without further manual work.
All standard cleaning plus clinical-trial-specific checks, applied in one automated run.
Corrects short trial IDs to full NCTXXXXXXXX format. Flags any IDs that cannot be resolved to a valid registry pattern.
Validates RES-NNNN format for investigator IDs. Unverified profiles are flagged in the register output for manual review.
Normalises all phase and status labels to consistent values across the dataset. Mixed-format entries resolved automatically.
Each investigator linked to their trial sequence with phase, status, and ID validity. Structured output included in every download.
Duplicate detection, missing value flagging, header standardisation, and whitespace trimming applied across the full dataset before trial-specific checks.
Patient and participant data processed securely in-session and never permanently stored. GDPR-compliant by design.
No integration required. Export your data as CSV or Excel and upload it directly.
Three steps. No coding. A validated output you can submit with confidence.
Upload your CTMS export, trial register, or investigator dataset in Excel or CSV format. Select Clinical Research mode.
ColtraDataAi validates NCT IDs, standardises researcher identifiers, normalises phase and status labels, and flags every non-conforming record.
Download the cleaned dataset, the researcher-to-trial register, and the data quality report - ready for sponsor submission or ethics review.
No hidden fees. Cancel anytime.
Everything you need to know before uploading your first trial register.
Start free, no credit card required. Upload your CTMS export and get a validated, audit-ready register in minutes.