Pacifica
Pacifica is an open-source application for researchers to record, transcribe, analyze and share qualitative and mixed methods data. It allows secure storage and collaboration features for small teams.
qualitative-research
transcription
collaboration
Pacificavideo editing software for researchers
Open-source application for recording, transcribing, analyzing and sharing qualitative and mixed methods data with secure storage and collaboration features
What is Pacifica?
Pacifica is an open-source web application designed specifically for researchers working with qualitative, mixed methods, and multi-modal data. It provides a full suite of tools to manage research projects from data collection through analysis and writing.
Key features of Pacifica include:
- Secure, encrypted storage for sensitive research data
- Built-in transcription and coding tools for audio, video, images, documents, and text data
- Annotations and analytic memo writing capabilities
- Collaboration tools like user management, permissions, and version history for tracking changes among teams
- Customizable metadata to organize files and integrate quantitative data
- Visualizations to explore codes and categories across the dataset
- Full-text search to quickly find keywords and phrases across transcripts and memos
- Options to export analysis reports, coded data excerpts, and more to share findings
Designed as a self-hosted LAMP application, Pacifica prioritizes ownership, control, and flexibility of research data. It scales from individual projects up to multi-researcher teams. The open-source codebase allows custom modifications and integration with existing university infrastructure if desired.
Pacifica Features
Features
- Audio/video transcription
- Qualitative coding
- Collaboration tools
- Secure cloud storage
- Customizable interface
- Import/export data
- Analytics and reporting
Pricing
- Open Source
Pros
User-friendly interface
Robust transcription features
Collaboration capabilities
Secure encrypted storage
Customizable workflows
Open-source and free
Cons
Limited scalability for large teams
No quantitative analysis features
Mobile app needs improvement
Steep learning curve initially
Official Links
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