I just downloaded the update with mobile data on my S22 ultra so it can be done, contrary to your wifi only stance. However I can not get my daughter's s22 plus to download the update without wifi, which is why I was on this forum in the first place.

Mee too. And the frequent "agree to our updated policies" SPAM is why my entire family will no longer buy another Samasung phone. The company is just too disconnected from the user experience. Goodbye SamStung.


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Go to settings, in the search Barr type app update, click on galaxy system app update, then click on galaxy system app update. U will then see an option to turn off WiFi only updates. Restart your phone and your good to go. Took me ages to find this solution.

Brave is available as a fast, free, secure web browser for your mobile devices. Complete with a built-in ad blocker that prevents tracking, and optimized for mobile data and battery life savings. Get the Brave Browser (mobile) for Android or iOS.

By texting IPH or AND to 93557, you agree to receive a one-time text message from Wells Fargo with a link to download the Wells Fargo Mobile app. Availability may be affected by your mobile carrier's coverage area. Your mobile carrier's message and data rates may apply. Please refer to the Supported Browsers and Wells Fargo Mobile App Requirements page for mobile OS details.

Confidently deploy Tableau Mobile in your organization while keeping devices and data secure at all times using mobile device management systems or mobile application management systems. Tableau Mobile offers unmatched flexibility, supporting a variety of authentication methods, including SAML, OpenID Connect, Mutual SSL, using a VPN or reverse proxy.

Don't wait until you're at your desk to make decisions. Tableau Mobile gives you the answers you need right at your fingertips. Tableau automatically creates dashboard layouts optimized for mobile devices so you can view, filter, and drill down with a touch of a button. With insights readily available, you can make data-driven decisions that improve business results faster.

Spend more time acting on insights and less time looking for them. Tableau Mobile's powerful capabilities for search, collaboration, and organization make it easy to find relevant and popular content. To help you jump right in, Tableau Mobile provides seamless authentication and deep linking, so you can readily access your analytics. With a single click on Tableau Pulse for Mobile, you can go from your Tableau Pulse metrics digests in Slack and email to the Tableau Pulse on Mobile exploration page, where you can dig deeper into the data.*

Data collection apps are mobile applications that make it possible to collect data from a smartphone, tablet or iPad. One of the main advantages of data collections apps is the possibility of gathering data offline or while on-the-go. Offline forms allow researchers that are working in places with unreliable internet to store a backup of their data on their mobile device and upload it once an internet connection is available.

When looking into data gathering tools for research, it is essential to acknowledge that projects differ in their design and purpose. Thus the mobile survey platform of choice should be flexible enough to be used for a range of different data, as well as in potentially disconnected areas.


One crucial distinction between different research projects is the time frame. Will the data only be captured from subjects once, in other words, cross-sectional? Or does the research require measurements at multiple moments across time, in other words, longitudinal?

Research that involves recording data at a single one point in time, a so-called, snapshot of a population is a cross-sectional study. This data is only collected once. Often, these studies do not collect personally identifiable information (PII) as there is no need for a follow-up on the study subjects. These types of studies are always observational, wherein researchers record information about their subjects without manipulating the study environment. Examples of cross-sectional studies are patient registries or household surveys.

Some projects will requiere the same subjects to be surveyed at different moments of time, in other words longitudinally. To be able to efficiently follow-up on subjects, longitudinal projects require a data gathering solution that supports case management.

With an ever-increasing saturation of mobile survey solutions, we researched the best ones to date. We aimed to investigate their range of utility - for both cross-sectional and longitudinal studies-, their suitability for offline surveys, and their further services that set them apart.

Teamscope sets data security as its highest priority. Data is stored encrypted on mobile devices and users, apart from requiring a username and password to login, must create a four digit passcode to unlock the app. All sessions on its mobile app time out after 30 seconds of inactivity or once the app has been closed, to access the app a user must reenter their Teamscope passcode.

Open Data Kit (ODK) is open-source software for collecting, managing and using data in resource-constrained environments. The goal of ODK is to offer open-source and standards-based tools which are easy to try, easy to use, easy to modify and easy to scale (ODK website). 


To make these tools widely accessible and functional, ODK is supported in multiple languages and further works offline. They allow teams to use ready-to-use mobile, desktop or server devices or customise them to suit their needs. More specifically, the Open Data Kit community offers two suites of software; ODK and ODK-X. The former provides access to simple tools that have a proven history of large scale deployment for mobile data recording. This suite of software is appropriate for common cases. The later suite of software, ODK-X, offers tools for more complex workflows. For this software, Javascript customisation allows a very flexible suite which further features longitudinal data entry, bi-directional synchronization, and on-device data management. 


Open Data Kit further has an immense and highly active community. The ODK forum ( ) is a space where ideas on mobile data collection can be shared and discussed. Here users can also find assistance on the ODK software. 


KoBoToolbox is a free, open-source tool for mobile data gathering developed by the Harvard Humanitarian Initiative. KoBo Toolbox is widely used for data entry in humanitarian organizations like the International Rescue Committee (IRC), United Nations Office for the Coordination of Humanitarian Affairs and Save the Children. 


REDCap was created in 2004 at Vanderbilt University. At that time, most Electronic Data Capture (EDC) platforms were geared towards large clinical trials. These, however, were too expensive for academic biomedical researchers in need of a data entry tool that met HIPAA and ICH-GCP compliance standards. The objective of this project thus was to empower the researchers by allowing them to single-handedly manage their databases, without the need for any programming or technical knowledge.


In April of 2015, REDcap released its iOS and Android application, which extended the functionality of the platform into smartphones and tablets and enabled data collection in places with slow or no internet. 


Magpi is a mobile data recording app that allows users to create mobile forms both on and offline within minutes. Its use extends through the health, agriculture, environment and industry sectors, where rapid and low-cost conduction of mobile surveys enables scalable and straightforward research. 


Magpi aims to make the most out of mobile data collection apps by reducing accidental errors through logic branching, eliminating wasteful paper use and benefiting from fast input and automatic analysis of modern-day smartphone capabilities.


With four easy steps from setting up an account, to creating a form, and downloading the app, you can start collecting data. This simplicity and efficiency means you are ready to start collecting data on any smartphone, tablet or iPad within minutes.


This app allows users to collect various types of data, such as voice recordings, barcodes, geolocations and electronic signatures and then build, view, access, sort, fill out, share, and organise all this data in a single place. The utility of using a mobile data recording app, in this case, enables it to function offline and utilise iOS and Android push notifications to alert the user of new respondents or changes in data. PDF copies of submitted information can even be downloaded or shared.

One of Jotforms distinct features is Kiosk Mode. Kiosk mode turns your tablet or iPad into a fixed survey station. While on this mode, respondents only have access to a single form, blocking them from other submissions or forms. This feature increases data security and makes it easy to collect data in public spaces, such as hospital waiting rooms, conferences or social events.


With ever-increasing sizes of studies and research groups, Jotforms mobile further enables collaboration between team members. Mobile forms can be created and assigned to individual researchers who will then collect data even in areas with limited or no connection to the internet. Once respondents have filled in the forms, you can view the data, and act quickly on the information you have received. 


Survey CTO is a reliable, secure and scalable mobile data collection app for researchers and professionals. This app expanded on the Open Data Kit (ODK) software to increase its scale, utility and power. 


The application allows users to design a variety of complex survey forms with either an intuitive spreadsheet format or a drag-and-drop form. Data can further be pre-loaded and streamed between datasets. The data can also be collected offline with the SurveyCTO Android app or using an online web interface. The data is kept secure through multiple layers of encryption and redundancy and is further GDPR compliant. The researcher or professional is further able to monitor all incoming data using review and corrections workflow, automated quality checks, and data classification systems. Visualisation of the data is almost instant through a built-in tool, and further analysis of the data is done using external analytical tools. 

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