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Scientific Data Discovery with XMC Cat Pushing Back on the Data Deluge:

Scientific Data Discovery with XMC Cat Pushing Back on the Data Deluge: Advancements in Metadata, Archival and Workflows Scott Jensen, PhD Senior Researcher. XMC Cat. Need to capture detailed metadata for discovery and re-use Must be able to capture domain-specific metadata

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Scientific Data Discovery with XMC Cat Pushing Back on the Data Deluge:

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  1. Scientific Data Discovery with XMC Cat Pushing Back on the Data Deluge: Advancements in Metadata, Archival and Workflows Scott Jensen, PhD Senior Researcher

  2. XMC Cat • Need to capture detailed metadata for discovery and re-use • Must be able to capture domain-specific metadata • Metadata standards implemented in XML • Adaptable to XML schemata from different scientific communities • Able to communicate results based on community schema • Detailed data discovery search capabilities • Describe data products in a broader experiment context • Capture metadata incrementally and early in the scientific process • Concept based partitioning of metadata schema • Incremental and asynchronous metadata capture

  3. Logical ID Query Data Data XMC Cat: Standalone Front-end Metadata Catalog to Backend Storage Repositories XMC Cat Workspace XMC Cat Metadata Location Transparency name resolver Data Objects iRODS OPeNDAP Fedora

  4. Scientific Metadata Captured as Concepts Concepts Enable: • Incremental capture • Detailed discovery • Fast response

  5. Detailed Relational Search + XML Concept CLOBs Configurable to Varied Scientific Domains

  6. Query Interface • Point & click query construction adapts to the user’s community schema • User builds query through point & click interface • =can be added • Strongly typed metadata allows for more precise search criteria • Results are returned using the community XML schema

  7. Browsing Detailed Metadata

  8. Creating a New Query

  9. Selecting “Experiments” as the Query Target

  10. Selecting Concepts to Query

  11. Specifying the Search Range for Concept Elements

  12. Viewing Details of the Search Results

  13. Point & Click XMC Cat Configuration • Prompts for required schemas, determines dependencies and builds the necessary XML Bean jars. • Concepts identified through a point & click interface. • Default pushes concepts down as far as possible • Automatically adjusts other concept definitions • Human readable descriptions can be added • Wizard-based approach “remembers” your configuration through annotations. • All configurations saved for future sessions. • Configuration files are automatically generated and downloadable.

  14. Logging into the XMC Cat Builder

  15. Uploading / Selecting Your Schema

  16. Schema Dependencies Determined

  17. Selecting the Root Metadata Element

  18. Point and Click to Identify Concepts

  19. Selecting Catalog Configuration Options

  20. Downloading the Configuration Files

  21. XMC Cat: Incremental and Asynchronous MetadataCapture

  22. Try it Out! • XMC Cat is available through the D2I Website: http://pti.iu.edu/d2i/xmccat (Also check out our other D2I projects!) • Additional schemata being added as pre-packaged configurations. • Post-processing plug-ins available. • If your project has a metadata management need, please contact us: • Scott Jensen scjensen@cs.indiana.edu • Beth Plale plale@cs.indiana.edu

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