University of Oslo (UiO) requests support for the continued development of improved data quality analysis features. Specifically, through a widely successful proof-of-concept outlier analysis and automatic user notifications to data quality issues has been identified as a necessary features to incorporate into all standard analytics tools in DHIS2: charts, pivot tables, maps, scorecards, and dashboards. UiO proposes an eleven-month agile development timeline what will be in initially informed by several detailed investigatory field visits to fully appreciate end-user needs followed by an interactive approach to software development, beta-testing testing, and bug fixing before final release. Finally instructional videos will be produced and documentation developed to inform users on how these functionalities can be used.
Submitted by Caitlin Bowman (Digital Square) (Digital Square at PATH) on Tue, 03/03/2020 - 16:12
Last revised by Digital Square on Tue, 03/10/2020 - 05:39.
Final Proposal:
Application Status:
In Scope - withdraw