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LTER Data Management

LTER Data Management. Margaret O ’ Brien Santa Barbara Coastal Long Term Ecological Research (LTER) Project Santa Barbara Channel Biodiversity Observation Network 2014-04-24. LTER Network. http://LTERnet.edu. 25 sites, funded by NSF (1980) Independent research, locally driven

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LTER Data Management

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  1. LTER Data Management Margaret O’Brien Santa Barbara Coastal Long Term Ecological Research (LTER) Project Santa Barbara Channel Biodiversity Observation Network 2014-04-24

  2. LTER Network http://LTERnet.edu • 25 sites, funded by NSF (1980) • Independent research, locally driven • Primary production • Populations • Ecosystem cycling • Organic • Inorganic (nutrients) • Disturbance • Considerable leveraging • Partnerships • USDA, USFS, • Integrated data management http://iLTERnet.edu

  3. LTER Data Management Cross-site comparisons began in the 1990s Developed XML-based data sharing mechanism EML released in 2003 • Sites are the experts for their own data, and should work with the systems and partnerships that are available • Sites collaborate as appropriate within the LTER to develop the software they need, and create economy of scale by converging practices and mechanisms • Network sets goals and provides a collaborative atmosphere, but does not dictate mechanisms

  4. LTER Data Management Today • Active DM committee • “Best Practice” docs • ESIP member • Central data catalog • DOI assignment • Data package checking • Automated code generation • R • Matlab • SAS • Federation

  5. EML Overview • Related specifications • FGDC • ISO-19115 • Darwin Core (DwC) • Communities • OBIS, GBIF (Darwin Core Archive) • TDWG • Features • Rich structural metadataallows automated ingestion • Active development community

  6. Santa Barbara Coastal LTER Understand factors controlling structure and function of kelp forests of the Santa Barbara Channel

  7. Santa Barbara Coastal LTER IMS Collection to Distribution • Established protocols for handling and processing • RDBMS -> XML • Community standards and expertise • Structural quality control for data tables and metadata • Machine-readable data • Federation Field Data collection protocols Data Package Design EML Metadata Export Data Package Checking Servers Backup& processing

  8. Santa Barbara Channel BON IMS • Adopted community protocols and standards • Per LTER • RDBMS -> XML • Structural quality control • Local catalog • TBD • Federation mechanism DataONE Member Node? Servers Integrate ingested & de novo data Data Package Design EML Metadata Export Data Package Checking

  9. Possible Next Steps • Outline potential strategies for posting data • Examine repositories • Exchange specification(s) • Multiple partners & endpoints? • Consider impact on local groups • Alternatives • Submit once to federated repository for broad retrieval • Begin developing data quality requirements • Examine available tools and vocabularies • Define use cases

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