WebQDA

WebQDA is a web-based qualitative data analysis software designed to support collaborative and distributed research environments. It allows researchers to analyze non-numeric and unstructured data such as text, images, videos, and audio. The platform is particularly useful in academic contexts for researchers, master's students, doctoral candidates, and graduate students, as well as in business contexts for market analysis.

WebQDA was developed through a partnership between the University of Aveiro and the company Micro IO, led by António Pedro Costa, António Moreira, and Francislê Neri de Souza. The first version of WebQDA was released in 2010, and it has since undergone several updates, with the current version being WebQDA 3.0, released in 2016.

WebQDA has received financial support from various sources, including national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the project UID/CED/00194/2013.

WebQDA offers a comprehensive suite of features for qualitative data analysis:

• Text, Image, Video, and Audio Analysis: Tools for coding and categorizing various data types.
• Collaborative Work: Supports real-time collaboration among multiple users.
• Document Management: Organize, edit, and link documents.
• Category Creation and Coding: Create categories and assign codes to data segments.
• Data Filtering and Search: Advanced filtering and search options.
• Data Visualization: Visualize data through charts and graphs.
• Report Generation: Generate comprehensive reports based on analysis.

The platform has expanded its features and capabilities through continuous development.

Recent updates to WebQDA include the introduction of the Workflow feature in the Management System, which helps users manage their projects more efficiently by providing a structured table of steps to follow. The platform also supports the analysis of various data formats, including text, images, videos, and audio files.

WebQDA emphasizes collaboration, innovation, and user-centric design. The company values providing a flexible and intuitive platform that supports researchers in various contexts. WebQDA's commitment to data security and privacy is evident through its compliance with GDPR and other data protection standards.

WebQDA serves a diverse user base, including academic researchers, students, and professionals in various fields. The platform supports collaborative work, allowing multiple users to work on the same project simultaneously. WebQDA also offers extensive training and support resources, including webinars, tutorials, and technical support.