Visit for more information and create your free account today. KoBoCollect is based on the OpenDataKit, and is used by professionals wherever reliable and professional field data collection is needed. Acknowledging that many agencies are already using ODK, a de facto open source standard for mobile data collection, KoBo Toolbox is fully compatible and interchangeable with ODK but delivers more functionality such as an easy-to-use formbuilder, question libraries and integrated data management. Together, these tools are used by thousands of humanitarians, development professionals, researchers, and private companies to to design and implement primary data collection projects around the world. KoBoToolbox consists of several software tools to help you with your digital data collection. Advanced users can also install their own KoBoToolbox instance on a local computer or server. Basically both these android apps are used for collecting data. To visualize, analyze, share, and download your collected data just go back to your KoBoToolbox account online. KoBoCollect android app is based on ODKCollect android app. ![]() Once your form is created and active, configure this app to point to your account, following the instructions in our tool. This app requires a free KoBoToolbox account: Before you can collect data create a free account with your computer on and create a blank form for data entry. There are no limits on the number of forms, questions, or submissions (including photos and other media) that can be saved on your device. ![]() With this app you enter data from interviews or other primary data - online or offline. ![]() If a file exceeds 10Mb, it will be sent in its own post with the submission XML. This course on Mobile Data Collection using ODK and Kobo Toolbox is designed for individuals involved in development projects, research, and monitoring and. KoBoCollect is based on the OpenDataKit and is used for primary data collection in humanitarian emergencies and other challenging field environments. ODK Collect currently ignores the header and always splits files into 10Mb posts.
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