Basic↦Data Management↦Study Database↦Clinical Data Management System
What is it? Why is it important?
A Clinical Data Management System (CDMS) is a type of software used to record, structure, summarise and manage all data collected from and about participants during the implementation of a study.
In order to guarantee data safety (e.g. infrastructure, access rights), traceability (audit-trail) and confidentiality, the study CDMS should be carefully selected.
Selection should be based on applicable requirements such as:
- Conformity to regulatory requirements
- Means and methods to map study design
- Means and methods used for data entry
- Data storage requirements
An electronic CDMS:
- Allows for a structured format-controlled data entry system
- Facilitates data handling such as:
- Ongoing data quality checks
- Ability to trace any modified data
- Data export for further-use and analysis
- Regulates user access control
- Allocates applicable user rights (e.g. data entry or modification control)
- Facilitates multi-centre studies
- Provides tools for study monitoring (eg. source data verification (SDV), queries)
- Allows for the archiving of data
What do I need to do?
As a SP-INV, make yourself familiar with:
- Different CDMSs and their ability to accommodate the specific setup and design of your study
- Regulatory requirements and the ability of the CDMS to manage and fulfil ICH GCP, Ethics (EC), and regulatory demands.
In order to ensure regulatory requirements are met, consult a professional data manager for advice when selecting a CDMS. In addition, the set-up and running of a CDMS (e.g. installation, validation, ongoing software updates, server management) requires extensive expertise and knowhow, and is best managed by a qualified data manager.
More
The CDMS used in the study should:
- Be based on the riks-based QMS implemented by the SP-INV (e.g. SOP regarding CDMS operations)
- Be able to handle all study specific requirements as described in the study protocol
- Have limited and regulated access control
- Ensure the integrity of all study data, including an audit-trail that documents what data was entered at what time point and by whom
- Be validated by the SP-INV prior to being used in the study
In order to facilitate ongoing data handling during study conduct, select a CDMS that provides an ongoing overview of the current data entry status (e.g. which visits or data entries are complete, which ones are still open or missing).
Where can I get help?
Your local Research Support Centre↧ can assist you with experienced staff regarding this topic
Basel, Departement Klinische Forschung (DKF), dkf.unibas.ch
Lugano, Clinical Trials Unit (CTU-EOC), ctueoc.ch
Bern, Department of Clinical Research (DCR), dcr.unibe.ch
Geneva, Clinical Research Center (CRC), crc.hug.ch
Lausanne, Clinical Research Center (CRC), chuv.ch
St. Gallen, Clinical Trials Unit (CTU), h-och.ch
Zürich, Clinical Trials Center (CTC), usz.ch
References
ICH GCP E6(R2) – see in particular guideline
- 5.5 Trial management, data handling, and record-keeping
Swiss Law
ClinO – see in particular article
- Art. 45 Data retention requirements
HRO – see in particular article
- Art. 5 Storage of health-related personal data and biological material