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Why Publish to the VO? Sverin Gaudet Canadian Astronomy Data Centre - PowerPoint PPT Presentation

Feb 20, 2024 •308 likes •499 views

Why Publish to the VO? Sverin Gaudet Canadian Astronomy Data Centre Canadian Advanced Network for Astronomical Research Canadian Astronomy Data Centre - CoSADIE Data Centre Forum IVOA Mission Statement Allow astronomers to

  1. Why Publish to the VO? Séverin Gaudet Canadian Astronomy Data Centre Canadian Advanced Network for Astronomical Research Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  2. IVOA ¡Mission ¡Statement ¡ • “Allow astronomers to interrogate multiple data centers in a seamless and transparent way” • “Provide new powerful analysis and visualization tools within that system” • “Give data centers a standard framework for publishing and delivering services using their data.” Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  3. IVOA ¡Framework ¡ • “Standardization of data and metadata” • “Standardization of data exchange methods” • “Use of a service registry … ” • “A framework which enables data centers to provide competing and co-operating data services … ” Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  4. IVOA ¡Goal ¡ To enable science! • Data discovery • Efficient data access • Interoperable analysis tools • Interoperable data • Scalable visualization and computing • Data Mining Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  5. The ¡Data ¡Centre ¡Reality ¡ Mission focus • Serving primary users • Requirements from user committees Perception of VO services Lets ¡view ¡ • Increased scope things ¡from ¡a ¡ • An extra layer of software to build different ¡angle! ¡ • A secondary service delivery mechanism to be maintained • Retrofitting is expensive • Data engineering is hard Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  6. A ¡Different ¡PerspecFve ¡ Why Publish in the VO? Why Publish with the VO? Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  7. Why ¡Publish ¡with ¡the ¡VO ¡ Use VO technologies in the data centre software stack • Technical standards • Format standards • Data models • Existing code bases • Existing tools Why? • Leverage the intellectual investment from a wide community • Scientific • Technical • Fundamental components for data centres • No longer an “extra” layer Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  8. An ¡example ¡ Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  9. Canadian ¡Astronomy ¡Data ¡Centre ¡ Heterogeneous collection: • multiple missions and HST FUSE MOST facilities • multiple wavelengths Pointed and survey observations Many different data CFHT Gemini BLAST models Continuous evolution JCMT CGPS MACHO Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  10. New ¡approach ¡ New perspective on VO standards • VO has moved from periphery to core • Re-using the intellectual investment of the IVOA Applying to new CADC use cases: • PI distribution: VOSpace, GMS, SSO • Collaboration repositories: VOSpace, GMS, SSO • Virtual machine repositories: VOSpace, GMS, SSO • Sharing virtual machines: VOSpace, GMS, SSO • Data publishing: VOSpace, GMS, SSO • User databases: TAP, GMS, SSO Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  11. Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  12. Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  13. Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  14. New ¡approach ¡ Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  15. VOSpace ¡– ¡User ¡Storage ¡ • User storage • Programmatic access • Browser UI • TAP query input and output • Data publishing (DOI) • Project shared repository • Virtual machine image repository • Cloud processing file persistence • Telescope PI data distribution Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  16. The ¡Challenges ¡ New projects (designing) • Look to VO technologies • Participate to inform new standards Existing projects (retrofitting) • Look for opportunities for incremental additions • Adding new functionality • Upgrading capacity • New use cases • Participate to inform new standards Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  17. The ¡Challenges ¡ Data engineering • For discovery and access • Internal data models vs. VO data models • Data model translation: pre- generated or on the fly? • The only path to interoperability • ObsCore is a good starting point Discovery Discovery and Operations (e.g. cutouts) Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

  18. Canadian Astronomy Data Centre - CoSADIE Data Centre Forum

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