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 Duration 14 hours

Course Outline

Introduction to Tana

  • Comprehending nodes, hierarchical structures, and navigation methods
  • Utilising daily notes and workspace architecture
  • Establishing core habits for efficient research workflows

Organising Information via Supertags

  • Creating and configuring Supertags
  • Designing fields for metadata management and classification
  • Standardising data entry to ensure consistent research organisation

Managing Research Materials

  • Recording articles, interviews, and primary source materials
  • Establishing systems for literature reviews and reference notes
  • Tagging and linking sources to create rich contextual connections

Developing Writing Workflows

  • Setting up dedicated spaces for outlining, drafting, and revision
  • Overseeing multi-stage writing processes
  • Employing live searches to monitor progress across manuscripts or articles

Managing Projects and Long-Form Content

  • Planning and structuring extended research or editorial projects
  • Monitoring tasks, deadlines, and key submission milestones
  • Synthesising ideas from across the workspace into cohesive final outputs

Knowledge Linking and Concept Development

  • Cultivating a network of interconnected concepts and insights
  • Using references and backlinks to deepen understanding
  • Creating map-like overviews for intricate topics

Advanced Search and Dynamic Views

  • Designing efficient live searches for targeted information retrieval
  • Filtering and visualising research or writing pipelines
  • Constructing dashboards for continuous academic or creative work

Exporting, Sharing, and Long-Term Maintenance

  • Generating shareable outputs for teams or collaborators
  • Archiving completed projects and evolving workspace organisation
  • Optimising Tana usage for sustained research continuity

Wrap-up and Future Steps

Requirements

  • Practical experience with digital note-taking applications or research utilities
  • Familiarity with standard research or writing processes
  • General understanding of structured content organisation

Target Audience

  • Academic researchers
  • Journalists
  • Content professionals handling research-intensive projects

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