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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.

Responsible Consortium Partners

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