Humanitarian Openstreetmap Team (HOT - Tanzania team ) has been using ODK to collect data in different projects like Ramani Huria, Data Zetu, Rural Electrification, and more others. In all these Projects we are working with local community using their Smartphone. Our motto is “Local people, local Devices, Open Knowledge”, we are working with local people from the community, using their own smartphone and give them knowledge on different tools like opendatakit for data collection.
The core objective is to insure the sense of ownership of the projects to the community (make them part of the project), so by involving them from the scratch, using their devices in data collection and last see the output which are maps of different case from their community it make them feel part of process.
Capability of ODK from flexibility in survey designing, ability to work offline, low consumption of memory in installing and other many led us to achieve a lot in our projects implementation where we have been able to work with thousand of local community and University students, Local governments and municipal officials and collect a lot of data point, line, polygons as well as pictures .
Apart from all those success, the main challenge we were facing is Language barrier as most of local people are using Swahili which is Native language for Tanzanian. During the FOSS4G 2018, We got chance to meet again @zestyping who is working with NAFUNDI Company and he coordinate ODK Sprint at Dlab where we contribute in documenting, codding also started translating ODK to Swahili language and in that day we worked with volunteers (High school Students, Interns from HOT-Tanzania and people from different entities). On the same day we manage to translate more than 200 string out of 600, It was good start then with Ramani huria intern from University of Dar es salaam we managed to accomplish remaining string and I with @gkassano review all the string.
From now, it will be much easier working with the community with Swahili version of ODK and we are expecting to do more Community mapping
thanks to @gkassano @Ivangayton @zestyping