These reports are translated in to visualised form such as open street maps, timelines, charts etc. The apps enable the user to manage the data in to workflows for future respond effectively.
The App pairs translated annotations with their respective sources in a way for viewers to easily access. This information is used to convey the purpose of the source to others who may not speak the language in which the source is written.
The website allow user to comments, opinion and notes, and these are show on the website as one kind of information. When user comment the paper and leave their information, then the system can collect the data and analyse as information.
This website itself doesn't translate the data into information. Researchers collect the data, run analyses and tests, and then post them on the site for the public as well as other researchers. The website doesn't translate or post any data, registry staff does. Participants also do not enter the information into the website. Any information participants need to update or provide must be given directly to the registry staff.
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.
Simple form fillout with name and contact info along with your story.
The app translates user data into information through standardized forms, charts and easy to understand patient histories (much like those already in existence other places on paper).
User data are translated into patient’s profiles, session history and tracked progress.
The web and app platform takes the data from the user assessments and translates it into graphical charts and visual data which can be analyzed by healthcare professionals who can determine where the patient is currently at as well as trends in the patient‘s mental well-being.
The web platform could counting how many times view the website and the quantity of each data people view. The data can be analysed and see what area that people more interested. As well as user can sign-up email updates, and contact REMM with questions and feedback.