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LTER Data Management Margaret O’Brien Santa Barbara Coastal Long Term Ecological Research (LTER) Project Santa Barbara Channel Biodiversity Observation.

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Presentation on theme: "LTER Data Management Margaret O’Brien Santa Barbara Coastal Long Term Ecological Research (LTER) Project Santa Barbara Channel Biodiversity Observation."— Presentation transcript:

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 http://sbc.lternet.eduhttp://sbc.marinebon.org

2 LTER Network 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 http://LTERnet.edu

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

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

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

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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