Table 1.

Main characteristics of the data collection processes.

Characteristics	Description
Data privacy	Level of data which the application will have access to. Personal data such as age, gender or gender, among others. Anonymous use of these data and indication of the management to third parties.
Data security	Level and quality of implementation of application security against possible attacks that may steal data collected by the application. There are security level protocols to evaluate the management of user data.
Data destruction	Time span during which the data will be stored on servers of private companies or public institutions that collect the data. The deletion of the data must be certified anonymously, and users should be informed who would have access their data before they are deleted.
Voluntary access	There must be protocols that indicate whether the collection of their data through an application is voluntary or mandatory for its use. The data that the application collects must be specified so that users voluntarily accept the said collection.
Time span	The frequency with which the data are collected. Ranges from weekly or monthly to real-time data. The latter allows the automatic management of data with the use of AI applications.
Storage	The type of data storage. The data can be stored on a server or be part of the software that users use to access services on the Internet, such as cookies or the cache of browsers and applications. The user must be informed if these data should be deleted by him/herself or by companies within the indicated time frame.
Technology	Technology used to access and collect user data. Depending on the sophistication of the given technology, the speed of data collection and the amount may be truncated.

Source: The authors.