DMP should be developed for each study and early during the setup of the study A
data management plan or DMP is a document detailing all procedures, tasks,
milestones, and deliverables throughout the CDM lifecycle.
It gives a roadmap on how to work with information and handle possible risks. Another important
function is to clearly communicate what happens in the course of the trial to each stakeholder.
INTRODUCTION
1.1 Purpose of the Data Management Plan (DMP)
1.2 Scope
2. SOPs
3. Data management Tasks
4. CORE/Primary project team members
5.Communication
5.1 Meetings
5.2 Status Reports/Metrics
6. clinical database used
for project
7. Training
8. Data entry
8.1 Audit Trail
9. CRF Completion Guidelines
10. Clinical Database Design and Testing
10.1 Clinical Database Specifications
10.2 Clinical Database Development
10.3 User Acceptance Testing(UAT)
11. edit checks
11.1 System Checks
11.2 Manual Review
11.3 Query Prefaces
12. Data flow
13. Medical Coding
14. SAE Reconciliation
15. Data IMPORT
15.1 Vendor Reconciliation
16. Data Export
17. Local Labs
17.1 Local Lab Data Entry
17.2 Local Lab Normal Ranges
18.Data Cuts 19. Interim Analysis
19.1 Data Cleaning Requirements
19.2 Post Analysis Unfreezing/Unlocking of data
20. quality control and database lock
20.1 Database Unlock
21. PROJECT DISPOSITION AND ARCHIVAL
The DMP typically describes the following aspects:
data to be gathered from trial participants,
existing
data that can be integrated(how to mix ,link, parts of data) data formats ,metadata and its standards,
storage and backup methods,
security measures to protect confidential information,
data quality procedures,
responsibility
assignments across team members,
access and sharing mechanisms and limitations,
long-time archiving and preservation procedures,
the cost of data preparation
and archiving
and compliance with relevant regulations and requirement
Description of the data to be collected Data storage & backup.
Data sharing
& dissemination
Data security & confidentiality
Data preservation &
archiving
The DMP must be ready at a trial design stage, before the first
participant is enrolled. This will ensure that data will be collected in the
correct format and properly organized. However, the plan is not something
immutable: It has to be updated across the trial, capturing any changes that
influence data management.
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