By Jacqueline Gallinetti, Nirinjaka Ramasinjatovo, and Karla Rubio. Contributions from the NetHope Impact Data Working Group.
In the dynamic world of humanitarian and development work, effective data collection is paramount to demonstrating impact and optimizing programs. A recent deep dive by NetHope's Impact Data Working Group reveals a complex landscape of tools, triumphs, and shared challenges in Digital Data Collection (DDC). Organizations are deploying a diverse array of DDC tools, from widely used platforms like Kobo Toolbox for surveys and CommCare for case management, to customized internal solutions. This diversity reveals that while organizations have preferred tools, there is no single, all-in-one solution, especially when it comes to adopting a global tool.
Key challenges highlighted include the struggle with transferring data between systems, often relying on time-consuming, error-prone manual steps using intermediary tools like Excel. Ensuring consistent data quality and providing adequate training for data collectors remains a significant hurdle, alongside the persistent dilemma of balancing global standardization for aggregated impact measurement with the need for local adaptability in data collection. Furthermore, the blog emphasizes the critical need to conceive data collection, storage, processing, and visualization as an integrated system from the planning stage to avoid incompatibilities. Despite these challenges, organizations are actively striving to improve data quality and reporting capabilities. The collective insights from the Impact Data Working Group emphasize that collaboration and transparent knowledge exchange are fundamental to finding sustainable solutions, saving valuable time and resources that can be redirected to those who need it most.
Discover how humanitarian and development organizations are tackling the complexities of digital data collection and what it means for measuring true impact.
