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Roadmap and Future Plans

Christian Beier edited this page Dec 2, 2025 · 3 revisions

The Xolmis project is evolving to provide a robust ecosystem for ornithological data management.
This roadmap consolidates the technical document into clear milestones for Mobile and Desktop applications.

Short-Term Goals (Q4 2025 – Q2 2026)

  • Core Features
    • Finalize Quick Entry tool for batch data insertion.
    • Complete Import Wizard with column mapping for CSV, JSON, ODS, XLSX, XML, DBF.
  • Reporting
    • Implement missing LazReport layouts for basic reports.
  • Band Management
    • Semi-automated stock flow for bands during capture events.
  • Maintenance Tools
    • Improve optimization and backup workflows.

Mid-Term Goals (2026 – 2027)

  • Quality of Life Improvements
    • Undo data changes from the record history.
    • New batch of specimens from a capture.
    • Copy record to the clipboard.
    • Auto-update system.
    • Add geographical coordinates from a map.
  • Interoperability
    • Add support for Darwin Core format.
    • Add support for Ecological Markup Language (EML) format.
    • Export to eBird Record Format.
    • Strengthen import/export with Xolmis Mobile.

Long-Term Vision (2027 – 2028+)

  • Advanced Features
    • R or Python scripts integration.
    • Taxonomic synonymy and hierarchical queries.
  • Collaboration
    • Multi-user synchronization with PostgreSQL backends.
    • Role-based access control for projects and surveys.
  • Cloud Integration
    • REST API for third-party applications.
    • Optional cloud sync for collaborative projects.

Roadmap Principles

  • Transparency: All planned features are tracked in GitHub Issues.
  • Offline-first: Usable in remote fieldwork settings.
  • Interoperable: Compatible with scientific data standards
  • Community Feedback: Suggestions from contributors and researchers shape priorities.
  • Incremental Development: Features delivered in small, stable iterations.
  • Scientific Rigor: Data structures and workflows follow biodiversity informatics best practices.

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