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There are thousands of data collection apps that use similar technical system as Twine, one more popular app is Fulcrum which uses the same real time collection ideas and integration between existing data and new data. Fulcrum however is aimed towards medium businesses that need to coordinate between employees. There also exists several open source options that also allow for independent data collection.

The development of Twine was funded primarily through donations from individual investors interested in the data sharing aspects of the software and humanitarian aid organizations who benefit from the accessible data.

The system has partners including UNAIDS, a branch of UNISEF, International Medical Corps, Medecins Du Monde, AAHI, and other humanitarian organizations. The support of these groups both financially and with the user community is important to maintain the app as an active site for research and development. The technical aspects of the site also heavily rely on the data storage method, which is not mentioned but would require massive amounts of memory as well as safeguards to prevent data loss on the app servers.

The system is primarily used by researchers, scholars, and organizations with humanitarian interests. The app also has functions which would attract users that are beginning research and do not have established connections within the field as the app provides a support system.

The technical aspects of the site are quite complex, as the system has over 1,000 active data sites to compile in addition to the reports and reviews stored. The data collection software is the main function that the software supports as it relieves the users from needing their own data bank to work off of.  The publication functions are also supported by the storage system of the app allowing all users to access all publications.

This system would definitely be difficult to use directly in the field as it does require steady internet connection to allow for collaboration between users. Another likely problem would be collaboration between users who speak a different language, although the publishing aspect of the app, and adaptable software downloads allow for multiple languages. Integrating numerical data between users who’s primary languages differ creates technical challenges that could range from complete field incompatibility to something as simple as interpreting a comma as thousands rather than a decimal point.

The system was built to serve organizations and individuals with humanitarian goals. The system gathers data from report, reviews, and users and compiles it into comprehensible information to help inform decision-making for humanitarian concerns. Portions of the app also focus on education and technical support for field researchers looking to collect large quantities of data.

Users must be registered with the site to access any of the available features, and the registration is free. Once registered, users can immediately begin gathering their own data, analyzing the existing information, publishing reports or reviewing existing publications. The system also has several active data collection locations that are only available to registered users.

The app allows users to download compatible software which streamlines the data compilation process. While raw data is accessibly, the app’s stated goal is to streamline the data into comprehensible statistics and results that can be used for informed decision-making, to this end the data is presented to the user with initial mathematical analysis already completed by the system.

Data visualization is primarily determined by the type of data being gathered and the system for data collection being used. The app integrates data in order to both make large quantities of data easily viewable and understood, as well as compare studies with existing data stored on the system.