![]() Importantly, KoBoMap is optimized for low-bandwidth connections. KoBoSync pushes survey data from the Android(s) to your computer for data analysis while KoBoMap lets you display your results in an interactive map with a user-friendly interface. ![]() Surveys built with KoBoForm are easily uploaded to any number of Android phones sporting the KoBoCollect app, which can also be used offline and automatically synched when back in range. KoBoCollect is an Android-based app based on ODK. KoBoForm’s optional data constraints and skip logic further ensure data accuracy. Time stamps and geo-location via GPS let you know exactly where and when the data was collected (important for monitoring and evaluation, for example). KoBoForm allows you to build multimedia surveys for data collection purposes, integrating special datatypes like bar-codes, images and audio. This suite of applications enable users to collect and analyze field data in virtually real-time. ![]() This early experience informed the development of KoBo which continues to be driven by actual field-based needs and challenges such as limited technical know-how. In short, KoBo provides an integrated suite of applications for handheld data collection that are specifically designed for a non-technical audience, ie., the vast majority of human rights and humanitarian practitioners out there. Phuong and Patrick first piloted handheld digital data collection in 2007 in Northern Uganda. The result is a highly dedicated, customized and relevant solution. In the case of KoBo, a team of seasoned practitioners are fully in the drivers seat. Often, software developers are the ones who build these types of platforms in the hopes that they add value to the work of practitioners. What really attracts me about KoBo, which means transfer in Acholi, is that the entire initiative is driven by highly experienced and respec-ted practitioners. I recently visited my alma mater, the Harvard Humanitarian Initiative ( HHI), where I learned more about the free and open source KoBo ToolBox project that my colleagues Phuong Pham, Patrick Vinck and John Etherton have been working on. Update: be sure to check out the excellent points in the comments section below. Cham: Springer International Publishing.įeatures | HumanitarianResponse. Angelici (Ed.), Problematic Wildlife: A Cross-Disciplinary Approach (pp. Promoting a Mobile Data Collection System to Improve HWC Incident Recording: A Simple and Handy Solution for Controlling Problem Animals in Southern Africa. Le Bel, Sebastien Chavernac, David Stansfield, F. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 5(1), 1–7. Data Warehousing, Data Mining, OLAP and OLTP Technologies Are Indispensable Elements to Support Decision-Making Process in Industrial World. Saagari, S., Anusha, D., Priyanka, L., & Sailaja, N. Sustainable data collection: Mobile modes – Technical notes. Robertson, Grant and Leach, Shirely Jeoffereys. Papee-to-Mobile Data Collection: A Manual. Satterlee, Erin., Mc Callough, Leela., Dawson, Michael., Cheung, Kelly. FAIMS Mobile: Flexible, open-source software for field research. There are several web based and Mobile applications which are trending as data collection tools such as Google forms, LimeSurvey, SurveyMonkey, KwikSurveys, eSurv, and Kobo Toolbox.īallsun-Stanton, B., Ross, S. It helps researcher to collect the data by using ‘one click method’ and can compile the data based on the predefined criteria of the research. Kobo Toolbox/Collect is a precise, handy and remote data collection tool. ![]() It turns out to be a tredious process to collect research data through traditional methods.This paper explains the application and usage of Mobile data collection, features of kobo toolbox and ‘kobo collect’, an open source suite for data collection. It is a process of gathering and measuring of research data. In the present era the data collection phase plays a vital role in a survey research. Rapid technological advances have led to the smarter data collection being easier to access, less expensive and more efficient.Researchers and organisations in many fields have successfully developed and deployed various Mobile applications (apps) for data collection. ![]()
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