1. Long Term Ecological Research Network Information System LTER EML Status LTER Information Manager’s Meeting 28 July 2004 Mark Servilla servilla@lternet.edu

2. LTER NIS2 Agenda Best Practices Survey EML and LNO Support Implementation Status Mentorship Program

3. LTER NIS3 EML Best Practices (Preview) Defined by LTER Information Managers for LTER Information Managers Five levels of metadata completeness 1.Identification (DTOC like content) – Creator, Contact, Pub Date, Keywords, Dataset Distribution URL 2.Discovery – Geographic, Temporal, Taxonomic Coverage 3.Evaluation – Project, Methods, Entities, Attributes, Intellectual Rights 4.Access – Access Control, Physical Control 5.Integration – Quality Assurance/Control, Attribute Measurement Scale

4. LTER NIS4 Metadata Content Survey Used EML Best Practices for metrics Results combine sites with/without formal EML –More critical of formal EML packages –Less critical of those sites not yet using formal EML Pro’s – sites, in general, have rich metadata Con’s – much metadata scattered across the sites

5. LTER NIS5 Survey Results Level 1Level 2Level 3Level 4Level 5

6. LTER NIS6 EML and LNO Support (under KNB project) 50% (12) need some sort of help 12.5% (3) not sure 25% (6) no help needed 12.5% (3) unknown

7. LTER NIS7 EML and LNO Support (under KNB project) 1 completed and deployed (HBR) 5 completed or near completed, but require validation 2 incomplete 5 without a plan of action

8. LTER NIS8 EML and LNO Support (under KNB project) Current software requires site-specific support for maintenance and extensibility Various software tools (Excel, Java, XSLT) Non-reusable software – subtle to extreme differences in metadata/data Lack of documentation for tools already developed or in development Consolidated Java build (Ant) into single thread Placed all code under source version control (CVS) Continuing evaluation of current projects

9. LTER NIS9 EML Implementation Status EML Capable/Dynamic creation – 21% EML Capable/Static XML – 21% EML near term – 8% EML still emerging – 50% EML Harvest Aware – 13%

10. LTER NIS10 EML Mentorship Program Shared technologies Long term goals Demographic/geographic relationships “Pairing together – to help those in need of EML expertise”

11. LTER NIS11 “Strawman” Mentorship JavaPERL ASPSpy XSLT NTL CAP SBC AND KNZ HFRHBR JRN MCM PIE ARC MCM PIE ARC CDR PAL VCR SGS PIE FCE NWT SEV LUQ PAL MCM VCR