Clinical trial data that is clean, traceable and ready for decisions.
Cliorbit supports sponsors, CROs, hospitals and research teams with clinical data management services across CRF design, EDC setup, data management plans, edit checks, query management, coding, reconciliation, database lock and analysis-ready datasets.
Most trials do not suffer from lack of data. They suffer from unmanaged data.
Clinical data management is the operating system between the protocol and the final clinical study report. It turns patient visits, lab values, adverse events, assessments and source notes into reliable clinical evidence.
A clinical study can have strong investigators, good sites and good patient recruitment, yet still lose value if data is incomplete, inconsistent, delayed or poorly documented.
Data errors usually start early: unclear CRF fields, missing source guidance, weak visit-window logic, duplicate data entry, inconsistent medical terms, delayed query resolution, unclean lab transfers or poor SAE reconciliation.
Cliorbit’s clinical data management model is designed to prevent these problems before they reach the statistical team, medical writer, sponsor review or regulatory submission file.
Our focus is simple: collect only what matters, collect it correctly, review it continuously and preserve the story of every data change.
What is clinical data management?
Clinical data management is the process of designing, collecting, cleaning, validating, coding, reconciling and locking clinical trial data so that it is accurate, complete, traceable and fit for analysis.
Good CDM does not start after patient data is entered. It starts when the protocol is translated into a clean, measurable, reviewable data architecture.
The Cliorbit clinical data management pathway
We support the full CDM lifecycle from study startup to database lock, with practical coordination between clinical operations, investigators, monitors, pharmacovigilance teams and medical writers.
Protocol to data map
We review study objectives, endpoints, visit schedule, safety parameters, assessment windows and required outputs to create a data capture strategy.
CRF and eCRF design
Cliorbit supports CRF/eCRF design that is site-friendly, endpoint-aligned and traceable to source documents, protocol requirements and downstream analysis needs.
Data Management Plan
We prepare a DMP covering roles, timelines, data flow, query management, coding, reconciliation, data review, quality checks, lock process and archival expectations.
EDC build and validation support
We support database configuration, edit-check specifications, user acceptance testing, role-based access, training and study go-live readiness.
Live data cleaning
Data is reviewed during study conduct through query management, missing-data follow-up, cross-form checks, visit-window checks, safety checks and external-data reconciliation.
Coding and reconciliation
Medical history, concomitant medication and adverse event terms can be standardized, while SAE and AE reconciliation can be coordinated with the pharmacovigilance workflow.
Database lock and handoff
We support lock readiness checks, final query closure, listing review, freeze/lock documentation, audit-trail review and analysis-ready dataset handoff.
Clinical data management services by Cliorbit
Our CDM services can be used as complete study support or as modular support for sponsors who only need database build, data cleaning, coding, reconciliation or lock readiness.
Protocol and endpoint review
Mapping study objectives, endpoints, visits, assessments and safety variables into a practical data collection plan.
CRF/eCRF development
Building clean CRF logic for demographics, eligibility, visits, labs, safety, efficacy, adverse events and concomitant medications.
Data Management Plan
Documenting data flow, responsibilities, review frequency, query process, coding, reconciliation and database lock expectations.
EDC implementation support
Supporting EDC setup, study configuration, user roles, access controls, UAT, training and study launch readiness.
Edit check specification
Creating automated and manual checks for range, logic, missing data, visit windows, duplicate entries and critical endpoint fields.
Query management
Raising, tracking, resolving and closing data queries in coordination with sites, CRAs, investigators and sponsor teams.
Medical coding support
Supporting standardization of medical history, adverse events and concomitant medication terms for consistent review and analysis.
AE/SAE reconciliation
Reconciling clinical database adverse events with safety/PV data so seriousness, onset, outcome and causality are consistent.
Lab and vendor reconciliation
Coordinating external laboratory, imaging, device, ECG, ePRO or other vendor data against subject visits and database records.
Listings and data review
Preparing and reviewing patient profiles, discrepancy listings, outlier reports, missing-data reports and key-risk indicators.
Database lock readiness
Final query closure, data freeze support, audit-trail review, lock checklist, approval documentation and final data handoff.
SDTM-ready data support
Designing collection practices that preserve traceability and support smoother transformation into SDTM/analysis-ready structures.
Data must be accurate, but also explainable.
Clinical data management is not only about removing errors. It is about preserving the full history of how data was captured, changed, queried, reviewed and approved.
What strong data integrity requires
- Clear source-to-CRF traceability
- Version-controlled CRFs and data plans
- Role-based system access
- Secure audit trails for changes
- Documented query resolution
- Validated critical calculations and edit checks
- Backup, archival and retrieval readiness
What weak CDM creates
- Unanswered or late data queries
- Endpoint data that cannot be trusted
- Unclear adverse event timelines
- Missing lab or visit data
- Poor SAE and AE reconciliation
- Database lock delays
- Medical writing and statistical delays
Clinical data management quality matrix
This matrix helps sponsors understand where Cliorbit can support the study data journey.
| Study stage | Common data risk | Cliorbit control | Expected output |
|---|---|---|---|
| Protocol finalization | Endpoints are not translated into measurable CRF fields. | Protocol-to-data mapping and endpoint review. | Data capture strategy and CRF outline. |
| Study startup | EDC build does not match visit schedule or source records. | eCRF build support, UAT and source alignment. | Go-live-ready EDC database. |
| Patient visits | Missing assessments, wrong visit windows or inconsistent values. | Edit checks, manual review and site queries. | Cleaner live data with documented query trail. |
| Safety review | AE, SAE and concomitant medication data do not reconcile. | PV coordination and medical coding support. | Aligned safety dataset and reconciliation log. |
| External data | Lab/vendor files do not match subject visits or collection dates. | Vendor data reconciliation and outlier review. | Clean external-data transfer and exception log. |
| Database lock | Open queries, unclear changes or late corrections delay analysis. | Lock checklist, final listings and audit-trail review. | Database lock approval and analysis handoff. |
Designed for Indian clinical research operations.
Cliorbit understands the practical realities of Indian clinical sites: busy investigators, paper source records, multiple languages, site coordinators, laboratory logistics, ethics committee documents and sponsor timelines.
Our CDM support connects with clinical research operations, IEC/IRB documentation, pharmacovigilance workflows and medical writing outputs so the study does not break between teams.
Built around globally recognized data expectations.
Cliorbit’s CDM approach is informed by international and India-relevant clinical research expectations around GCP, data integrity, traceability, risk-based quality and standardized data collection.
Clinical data management readiness checklist
Before the first patient is enrolled, a sponsor should be able to answer these questions.
| Question | Why it matters | Cliorbit support |
|---|---|---|
| Are endpoints mapped to CRF fields? | Unmapped endpoints create missing or unusable final data. | Protocol-to-data review and CRF design. |
| Is the EDC validated and tested? | Incorrect logic can create systematic errors across subjects. | UAT, edit-check testing and configuration review. |
| Is there a Data Management Plan? | Without a DMP, teams handle discrepancies inconsistently. | DMP preparation and workflow documentation. |
| Is source-data guidance clear? | Sites need to know what source proves each CRF field. | Source-to-CRF mapping and site training. |
| Are AE and SAE data reconciled? | Safety inconsistencies can affect reporting and CSR accuracy. | PV coordination and reconciliation log. |
| Is database lock controlled? | Late data changes can weaken analysis confidence. | Lock checklist, final query closure and audit-trail review. |
Who should use Cliorbit CDM services?
Cliorbit can work with early-stage sponsors, mid-sized pharma companies, nutraceutical brands, device companies, CROs and hospitals that need structured clinical data support.
Pharma and biotech sponsors
For interventional studies, Phase IV studies, PMS studies, observational studies and investigator-led evidence programs.
CROs and research consultants
For outsourced CRF design, data cleaning, EDC coordination, query management, reconciliation and lock readiness.
Hospitals and investigator networks
For registry data, investigator-initiated research, retrospective chart review and prospective observational data collection.
Nutraceutical and device companies
For product-use studies, real-world evidence, tolerability data, device performance data and post-market documentation.
Need clean clinical trial data from India?
Cliorbit can support your study from CRF design and EDC setup to data cleaning, query management, reconciliation, database lock and medical writing handoff.
Frequently asked questions
These FAQs are written for sponsors and teams evaluating clinical data management support in India.
What is clinical data management?
Clinical data management is the process of collecting, cleaning, validating, coding, reconciling and locking clinical study data so that it is accurate, complete, traceable and ready for statistical analysis, medical review and reporting.
Why is clinical data management important in clinical trials?
Clinical data is the evidence base of a study. If data is missing, inconsistent or poorly documented, it can delay analysis, weaken the clinical study report and reduce confidence in the trial results.
Does Cliorbit support EDC setup?
Yes. Cliorbit supports EDC configuration planning, eCRF design, edit-check specifications, user acceptance testing, user role planning, training and live study support.
Can Cliorbit support data management for observational and PMS studies?
Yes. Cliorbit supports data management for observational studies, registries, post-marketing surveillance studies, Phase IV studies and real-world evidence programs. Explore our post-marketing surveillance services.
What is a Data Management Plan?
A Data Management Plan defines how study data will be collected, reviewed, queried, coded, reconciled, locked, transferred and archived. It keeps clinical operations, data management, safety, statistics and medical writing aligned.
What is query management?
Query management is the process of identifying data discrepancies, raising questions to sites or investigators, tracking responses and closing issues with a documented resolution trail.
Does Cliorbit support SAE reconciliation?
Yes. Cliorbit can coordinate AE/SAE reconciliation between the clinical database and safety or pharmacovigilance records. This connects naturally with our pharmacovigilance services in India.
Can CDM support medical writing?
Yes. Clean and well-structured data supports tables, listings, patient narratives and clinical study reports. Cliorbit can connect CDM outputs with medical writing services.
Can Cliorbit help with IEC/IRB documentation for studies?
Yes. Cliorbit supports study operations and can help coordinate documentation required for IEC/IRB support, depending on study type and sponsor requirement.
