Initial implementation

test-notes/projects/orgtree-project.org

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+#+TITLE: OrgTree Project
+#+AUTHOR: Development Team
+#+DATE: 2024-01-01
+#+TAGS: project development vue
+
+* Project Overview
+OrgTree is a web-based interface for visualizing org-mode files as interactive trees.
+
+** Goals
+- [ ] Create intuitive tree visualization
+- [X] Support file import/export
+- [ ] Enable real-time editing
+
+** Technical Stack
+*** Frontend
+- Vue.js 3 with TypeScript
+- Tailwind CSS for styling
+- Vite for build tooling
+
+*** Backend (Future)
+- Node.js with Express
+- Database for persistence
+
+* Development Phases
+** Phase 1: Core Implementation :DONE:
+Basic functionality is working.
+
+*** File Parser
+The parser handles standard org-mode syntax including:
+- Headings with multiple levels
+- TODO states
+- Tags and properties
+- Content blocks
+
+** Phase 2: Advanced Features :CURRENT:
+*** Drag and Drop
+Enable users to reorganize tree structure visually.
+
+*** Node Management
+- Add new nodes
+- Delete existing nodes
+- Modify node properties
+
+** Phase 3: Polish :FUTURE:
+*** Performance
+Optimize for large org files with hundreds of nodes.
+
+*** Accessibility
+Ensure keyboard navigation and screen reader support.
+
+* Notes
+** Implementation Details
+The current parsing approach uses regex-based extraction which works well for standard org-mode files.
+
+** Known Issues
+- Large files may cause performance problems
+- Some advanced org-mode features not yet supported

test-notes/projects/research-notes.org

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+#+TITLE: Research Notes
+#+AUTHOR: Research Team
+#+CATEGORY: research
+#+TAGS: research analysis data
+
+* Literature Review
+** Org Mode Studies
+*** "Org Mode as Knowledge Management System" :paper:
+**** Abstract
+This paper explores the use of org-mode for personal knowledge management.
+
+**** Key Findings
+- Structured text improves information retrieval
+- Hierarchical organization aids comprehension
+- Plain text format ensures longevity
+
+**** Methodology
+The study involved 50 participants using org-mode for 6 months.
+
+***** Data Collection
+- Weekly surveys
+- Usage analytics  
+- Interview sessions
+
+***** Analysis
+Statistical analysis revealed significant improvements in:
+1. Information organization
+2. Task completion rates
+3. Note-taking efficiency
+
+*** "Tree Visualization of Hierarchical Data" :paper:
+**** Research Question
+How do different tree visualization methods affect user comprehension?
+
+**** Experiments
+***** Experiment 1: Static vs Interactive Trees
+Interactive trees showed 23% better comprehension scores.
+
+***** Experiment 2: Vertical vs Horizontal Layout
+No significant difference in comprehension, but users preferred vertical layout.
+
+* Data Analysis
+** User Feedback
+*** Survey Results
+**** Satisfaction Ratings
+- Ease of use: 4.2/5
+- Visual clarity: 4.5/5
+- Performance: 3.8/5
+
+**** Common Requests
+1. Better mobile support
+2. Collaborative editing
+3. Integration with other tools
+
+*** Usability Testing
+**** Task Completion Times
+***** File Import
+Average: 12 seconds (target: < 10 seconds)
+
+***** Node Editing  
+Average: 8 seconds (target: < 5 seconds)
+
+***** Export Function
+Average: 6 seconds (meets target)
+
+* Future Research Directions
+** Enhanced Visualization
+*** 3D Tree Representations
+Explore whether 3D visualization improves understanding of deep hierarchies.
+
+*** Color Coding Systems
+Investigate optimal color schemes for different node types.
+
+** Performance Optimization
+*** Lazy Loading
+Implement progressive loading for large org files.
+
+*** Virtual Scrolling
+Handle thousands of nodes without performance degradation.
+
+** User Experience
+*** Accessibility Features
+- Screen reader compatibility
+- Keyboard-only navigation
+- High contrast modes
+
+*** Mobile Interface
+Design touch-friendly interaction patterns.
+
+* Methodology Notes
+** Data Collection Protocol
+*** Participant Recruitment
+Target users: knowledge workers who use structured documents
+
+*** Metrics
+**** Quantitative
+- Task completion time
+- Error rates
+- Feature usage frequency
+
+**** Qualitative
+- User satisfaction surveys
+- Interview feedback
+- Observation notes
+
+** Analysis Framework
+*** Statistical Methods
+Use ANOVA for comparing group means across different conditions.
+
+*** Thematic Analysis
+Code qualitative feedback to identify common themes and patterns.