Clinical data management (CDM) is paramount for a successful research. After all, Garbage In, Garbage Out (GIGO). CDM involves all aspects of collecting, processing, and interpreting information. There are many types of computer applications and database systems to support data collection and management. However, there are elements of CDM that apply across the board.
Review and approval of drugs or devices by regulatory agencies requires the assumption that the data presented are valid and reliable. Integrity of the data is paramount to ensure confidence in the results and conclusions you will make.
This seminar is based on FDA E6 GCP Guidelines which are the basis of effective data quality management. Even if your research is not FDA regulated, the information you learn in this course will help to ensure a robust data collection and management plan. The information conveyed in this course will also assist investigators in setting up processes for smoother data monitoring and auditing.
Examples of CRF’s and required documentation will be presented. Data collection and preparation techniques will also be demonstrated. Additionally, this workshop will provide you with the knowledge and tools needed to assure a CDM plan that holds up when the inevitable deviations from protocol occur. FDB3286
Learning Objectives:
- Brief detail about GCDMP
- 21 CFR Parts 11, 312.62, 812.140
- NIH Policy (SOP 15, 16, 17, 19)
- Data Management Plan
- Data Privacy
- Data Collection
- Data Quality
- Data Review
Session 1
CDM: The Reasons and The Requirements
– GIGO = Garbage In, Garbage Out. Why we need good practices in data management
– Presentation and overview of FDA GCP Guidelines on data management
– NIH Policy (SOP 15, 17, 19)
– 21 CFR Parts 11, 312.62, 812.140
Elements in Developing a Data Management Plan
– Choosing a vendor and outsourcing
– Data privacy and protection of subject data
– Quality Assurance and Quality Control
– Monitoring and auditing of data
– Handling Errors and Corrections
– Storage and Transfer of Data
Session 2
Study Set-Up
– Essential documents
– Prior to Study Commencement
– During Conduct of the Trial
– After Completion/Termination of the Trial
Study Set-Up (cont’d)
– CRF design and development (paper/e-CRF)
– Database build and testing
– Edit Checks preparation and testing
Session 3
Study Conduct
– Data Entry
– External Data integration and reconciliation
– Discrepancies, errors, corrections
– Data Cleaning (preparation) and Coding
– (MedDRA and WHODDE dictionaires)
– Severe adverse events (SAE) status reporting
– Data Review and Quality Control
– Data Transfer procedures
Session 4
Study Closeout
– SAE Reconciliation
– Quality Control
– Database Lock
– Electronic Archival
– Database Transfer
– Enhancing Reproducibility
Monitoring Visits
– What to expect during a monitoring visit
– Elements for Establishing a Corrective Action Plan
– Question and Answer Session
Professionals in pharmaceutical, nutraceutical, medical device, clinical and biotechnology research who oversee or work with data collection and management will be benefited by this seminar.
- Study Investigators
- Data managers
- Data processors
- Statisticians
- Site Personnel
- Clinical Research Associates
- Clinical Project Managers/Leaders
- Study Sponsors
- Clinical Research Organizations
- Clinical and Biotech Start-ups
- Individual researchers in health and biotech fields.
- Study Investigators
- Medical and Health Sciences
- Clinical Trials
- Clinical Research
- Physicians
- Medical Students
- Graduate Students in the Biological Sciences
- Researchers
- Staff in the above fields who work with data collection/management and require training in GCDMP
- Compliance auditors and regulatory professionals who require a knowledge of GCDMP in assessment of study protocols and reports