PARiM

PARiM

PARiM is an open-source qualitative data analysis software. It allows researchers to import, organize, code, and analyze textual data for identifying themes and patterns across sources. PARiM has features for efficient data management, coding, querying, visualizing connections, a
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qualitative-analysis coding collaboration

PARiM: Open-Source Qualitative Data Analysis Software

PARiM is an open-source qualitative data analysis software. It allows researchers to import, organize, code, and analyze textual data for identifying themes and patterns across sources. PARiM has features for efficient data management, coding, querying, visualizing connections, and collaboration.

What is PARiM?

PARiM is an open-source web-based platform designed to help qualitative researchers manage, analyze, and gain insights from textual data through an intuitive user interface. It allows importing documents, audio, images, videos, and other file types into a secure database for analysis.

Some key features of PARiM include:

  • Flexible data organization using tags and collections
  • In-depth coding tools with code hierarchies and memos
  • Powerful search and filtering options
  • Network views for visualizing code connectionsÂ
  • Secure multi-user collaboration in real-time
  • Customizable interface and analysis features
  • Exporting reports, visualizations, and analyzed data

Unlike many traditional CAQDAS packages, PARiM focuses on providing an intuitive and unrestricted environment for emerging insights to develop throughout extended analysis processes. Its access anywhere online, real-time co-analysis, unconstrained coding, endless collections, and networked views support a creative qualitative data analysis approach.

With PARiM's responsive development team continually improving upon its core open-source framework based on the evolving needs of researchers and institutions, it has the potential to become a leading platform for the next generation of qualitative analysis.

PARiM Features

Features

  1. Import and organize textual data
  2. Code and annotate textual data
  3. Search, filter and query coded data
  4. Visualize connections between codes and sources
  5. Collaborative coding and analysis
  6. Customizable interface and workflows

Pricing

  • Open Source

Pros

Free and open source

Intuitive and easy to learn

Powerful search, query and visualization

Good for collaborative projects

Cross-platform compatibility

Cons

Limited built-in statistical analysis

Steep learning curve for advanced features

No mobile app

Can be slow with very large datasets


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