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LTER Science 2050: Challenges, Constraints and Opportunities

LTER Science 2050: Challenges, Constraints and Opportunities. Bill Michener Professor and D ataONE Project Director University of New Mexico 12 September 2012 LTER ASM YMCA of the Rockies. Challenges. Discovery Discovery level metadata Semantic search Accessibility

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LTER Science 2050: Challenges, Constraints and Opportunities

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  1. LTER Science 2050: Challenges, Constraints and Opportunities Bill Michener Professor and DataONE Project Director University of New Mexico 12 September 2012 LTER ASM YMCA of the Rockies

  2. Challenges • Discovery • Discovery level metadata • Semantic search • Accessibility • Bit level preservation • Availability—dark vs. light archives • IPR issues, attribution and licensing • Usability • Interpretability • Data/metadata completeness • Sufficiency • Data/metadata quality, provenance and relevance • Semantic mediation tools

  3. Constraints • Technical constraints: relatively minor and will be resolved • Sociocultural challenges: large (IPR/licensing, community norms, $)

  4. Opportunities—e.g., DataONE Three major components for a flexible, scalable, sustainable network • Member Nodes • diverse institutions • serve local community • provide resources for managing their data • retain copies of data • Coordinating Nodes • retain complete metadata catalog • indexing for search • network-wide services • ensure content availability (preservation) • replication services Investigator Toolkit

  5. Investigator Toolkit Support DMP-Tool Kepler

  6. Data Management Planning Tool

  7. Check for best practices • Create metadata • Connect to ONEShare Data & Metadata (EML)

  8. 1. Ontology-based discovery search results Concepts acquire context: biomass as Material or biomass as Energy Additional search terms Super-classes may have different properties • NCBO ontology repository instance • Populated with ontologies (e.g., the NASA-JPL Semantic Web for Earth and Environmental Terminology) • Queried ontologies and returned results using REST services

  9. Approach 2: Enrich MN Metadata

  10. DataONE.org

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