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Working with Data Providers in a Distributed Data Environment

Working with Data Providers in a Distributed Data Environment. Raymond J. Walker Todd A. King Steven P. Joy Lee F. Bargatze Peter Chi James Weygand Robert L. McPherron. Presented at Virtual Observatories in Geoscience Denver, Colorado June 12, 2007. New Challenges. Background

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Working with Data Providers in a Distributed Data Environment

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  1. Working with Data Providers in a Distributed Data Environment Raymond J. Walker Todd A. King Steven P. Joy Lee F. Bargatze Peter Chi James Weygand Robert L. McPherron Presented at Virtual Observatories in Geoscience Denver, Colorado June 12, 2007

  2. New Challenges Background • Most Heliophysics data are available through independent repositories. • Found around the world • Use different metadata standards • Are organized differently • The Heliophysics Virtual Observatories have been tasked with connecting these disparate repositories into a logical whole that enables scientists to locate and access the data and services they need.

  3. The VMO Approach: Part I • Selected the Space Physics Archive Search and Extract (SPASE) metadata standard and its XML representation to describe resources. • Enables interoperability in a federated environment. • Acts as an “interlingua” or intermediate language through which the VMO communicates with data repositories. • Common metadata allows the repositories to be interconnected. • Current state of SPASE • Version 1.2.0 has been released and VMO has baselined to that version. • Defined a standard data model for all of Heliophysics.

  4. The Elements • Resource descriptions are stored in registries. • The VMO provides services: • Query registries • Aggregate and organize the responses • Direct users to the resource • Provide data services (reformat, manipulate, display, and analyze) Resource Repository Registry Access point Model and Methods

  5. Organized in a Self-declared Network ResidentArchive VxO Individual Researcher VMO

  6. The Approach: Part II • Generate resource descriptions in SPASE XML. • The SPASE data dictionary is scientifically very rich. • SPASE is so rich that the learning curve is steep. • At best it is a formidable task to populate the registries. • Most data providers do not have the resources to create the SPASE metadata and populate the registries. • Develop a system for creating and populating the metadata with minimum effort.

  7. Creating SPASE Metadata • Built tools to edit and verify the SPASE metadata. • Built tools to populate the registries. • Enlisted a group of domain experts (X-men) to work with data providers.

  8. Qualifications of the Magnetospheric X-men • Research scientists who are actively engaged in the analysis of magnetospheric data. • Must understand space plasma physics. • Must understand space particles and fields instruments or have sufficient background that they can quickly learn about them. • Must be expert in time series data analysis techniques. • X-men must augment their scientific background with training in the principles of data management. • Must understand the details of the SPASE data model. • Must be expert in tools used for creating the metadata and populating the registries.

  9. What X-men do • Develop a plan to make all of the data useful for magnetospheric research available to the community. • We are working to make the list exhaustive. • The list includes correlative data which we plan to access through the other VXOs. • Prioritized the ingestion tasks and work out an ingestion schedule. • Contact data providers and jointly work out a plan to include their data in the VMO.

  10. The SPASE data model is complex. • The X-men have identified structure in the model that can be used to build tools to aid in writing the high level metadata.

  11. SPASE Editors Developed by VMO(Web Based)

  12. SPASE Editors Developed by VMO(Excel and Matlab) (Input by VMO members or data providers) Programmed by VMO

  13. SPASE Editors Developed by VMO (IDL) SPASE Model 1) Ontology Tree 2) Enumeration Lists 3) Custom Settings spase_model Version 1.2 create_spase_structure populate_structure write_structure WDC Geomagnetic Master Catalog 1) Acknowledgement File 2) Data Granule Existence Map 3) Granule Path, Name, Specifics wdc_1_min XML Files

  14. Why Not Just One Editor? • Each of the three X-men uses a different SPASE editing scheme. • The SPASE leaning curve is sufficiently steep that they didn’t want to learn a new software system. • The three tools use approaches with which they are comfortable. • The existence of these three approaches plus others developed by the SPASE consortium hopefully will allow data providers to select software with which they are comfortable. • For a first hand discussion see Bargatze et al., (this meeting)

  15. Automating the Generation of Detailed SPASE XML

  16. Validation Tool

  17. SPASE Data Dictionary Tool

  18. Registry Tools

  19. Working with Data Providers to make Data Available Through VMO The X-men assist the data providers to: • Use a SPASE editor to write high level SPASE XML. • Verify the XML. • Create Rule Sets (or other software) to populate the detailed level SPASE XML. • Establish the registry at the remote site, if desired. • Load the high level SPASE XML into the registry. • Run the Rule Sets (or other software) to populate the registry. Most importantly an expert is available to data providers at each step of the process.

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