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A cloud-based application for analyzing and visualizing qualitative and mixed methods data.

Dedoose is a cloud-based application designed for qualitative and mixed methods data analysis. It supports various data types, including interviews, focus groups, photos, video, audio, and survey data. The platform allows researchers to collaboratively analyze data in real time. Dedoose features interactive visualizations, enabling users to explore and present findings through charts, graphs, and matrices. Built with security at the forefront, it offers project-specific encryption and role-based permissions. The software is accessible on both Mac and PC, promoting seamless transitions between devices. Dedoose provides tools for systematic coding, data filtering, and building connections across datasets to derive actionable insights. It is tailored for researchers across social science, market research, healthcare, and education.
Dedoose is a cloud-based application designed for qualitative and mixed methods data analysis.
Explore all tools that specialize in mixed methods research. This domain focus ensures Dedoose delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze qualitative data. This domain focus ensures Dedoose delivers optimized results for this specific requirement.
Allows multiple users to work on the same project simultaneously, with changes synchronized in real time.
Offers a variety of customizable charts, graphs, and matrices to visualize complex data relationships.
Supports the analysis of video, audio, images, and text-based data within a single platform.
Allows administrators to assign specific roles and permissions to users, controlling access to project data.
Encrypts data at the project level, providing an extra layer of security for sensitive information.
Integrates with existing SSO systems for easier and more secure user authentication.
Create an account and log in to the Dedoose platform.
Create a new project and define the research scope.
Import qualitative and quantitative data from various sources.
Set up coding systems and define code definitions.
Begin coding data and building connections across the dataset.
Utilize the visualization tools to explore data patterns.
Generate reports and export findings for presentations.
All Set
Ready to go
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