6. Data management,governance&regulation | Clinical Trial Community Africa Network

Data management, governance, and regulations

The main objective of Work Package Six is to:

Identify requirements for data collection, management, and sharing

Define requirements and generate guidelines/SOPs for data collection, management, and sharing on the CTC platform.

Generate data management plan

Ensure that the data management plan aligns to the regulatory requirements identified.

Design and build a machine learning and deep learning data cleaning model for the CTC platform

Build and implement a machine learning and deep learning model that will be used to automatically clean data obtained from public sources on an ongoing basis.

Description of Work

What and Why

To work with the respective partners and stakeholders within the CTCAN consortium to establish a data management plan of how data will be created, stored and shared through the CTC Africa platform. Data accuracy is the foundational pillar of the platform, and having a detailed plan of how this will be maintained will be of critical importance.

Goals

Identify requirements for data collection, management, and sharing.
Generate data management plan.
Design and build a machine learning and deep learning data cleaning model for the CTC platform.

Activities

Task 6.1 Identify requirements/regulations for data collection, management, and sharing through the CTC platform.
Task 6.2 Generate data management plan for data collection, management, and sharing through the CTC platform.
Task 6.3 Design and build a machine learning and deep learning data cleaning model for the CTC platform.

Expected Outcomes

Successful collaboration of partners to establish a robust data standard.
Expose the relevant API end points and methodologies to allow for other partners to share their data with the CTC Africa platform.
Publish the final data management plan on the portal.

Freedoms

Existing relationship with relevant stakeholders.
Knowledge of international data standards within the nuvoteQ team.

Constraints

Many public data sources do not follow data standards, so implementing a data standard might be challenging.
Lots of “dirty”data which we have to clean before entering the CTC Africa database.