Selection of architectural concept and development technologies for the implementation of a web-based platform for psychology research

Abstract

This paper considers the design and development of a web-based platform for conducting psychological online research. As a result, a scalable multicomponent platform architecture is formed, implying the separation into a public and private Intranet parts. To organize communication between components, it is intended to use the REST API. The basic unit of data transmission for experiments is a package that allows ensuring the autonomy of the online tool in conditions of poor Internet connection. A technological stack is selected, which includes the use of JavaScript and AngularJS 1 for the client part, Node.JS and Loopback for the server.