mothers2mothers (m2m) is an Africa-based not-for-profit organisation leading global efforts to end paediatric AIDS and create healthy families and communities by training, employing, and empowering HIV-positive mothers as frontline healthcare workers. Since its founding in 2001, m2m has reached more nearly 1.5 million HIV-positive mothers in nine countries i...
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The DHIS2 consultant is to ensure a stable, upgraded, and optimized DHIS2 system that supports testing, data quality improvement, and efficient metadata and user management. The consultant will address system architecture improvements, set up a development environment, upgrade the DHIS2 version to the latest stable version, and implement effective data cleansing mechanisms.
Background:
DHIS2 is integral to m2m's data management and reporting framework, supporting health programs with reliable, standardized information essential for tracking impact and guiding interventions. With increasing demands on data accuracy and timeliness, the DHIS2 system—currently operating on version 2.37—requires targeted upgrades and optimization to meet m2m's evolving needs. This upgrade to version 2.40.1, along with a systematic approach to metadata management, data element standardization, and performance tuning, will enhance data integrity and system functionality, directly benefiting the Insight2Action (I2A) and VUKA. I2A and VUKA will rely on DHIS2 as a primary data source, requiring streamlined and high-quality data to power impactful decision-making.
Description of task to be performed:
The consultant will lead a comprehensive upgrade and optimization process to ensure a stable, secure, efficient, and user-friendly DHIS2 environment.
Key activities include setting up a separate development instance for internal testing and development work, upgrading the DHIS2 version from 2.37 to 2.40.1, and implementing a robust backup and restoration strategy. A thorough review and cleanup of metadata will be conducted, focusing on mapping and standardizing data elements, datasets, and indicators to align with organizational reporting needs. SQL views will be configured for ongoing metadata monitoring, and structured user roles and access policies will be established to enhance data governance.
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