EML Congruency Checker A tool to assess and report on the quality of EML-based data packages.

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EML Congruency Checker A tool to assess and report on the quality of EML-based data packages

Software Stack ECC Data Manager Web-service Data Manager Library (Java Library) PostgreSQL LTER NIS (Quality Checks & Reports)

A Brief History Data Manager Library (2006) Costa, Jones, Leinfelder, Servilla, and Tao LTER All Scientist Meeting (2009) eml-dev, NCEAS Econinformatics group, LTER Developers, LTER Information managers Data Manager Web-service (2011) Costa, Earl, Gastil, O’Brien, Ramsey, Servilla, and Stephenson EML Congruency Checker (2011) Gastil and O’Brien

Error-free Metadata-data congruence Complete Metadata Error-free data PASTA ready ? 2014 PASTA production system 2012 PASTA functional prototype 2011 First checks of congruence <=2011Any EML data package Synthesis: QA/QC, Std Attributes, Units Evaluation: Abstract, Methods Discovery: Keywords, Coverage First: Structural Second: Scientific Checks must be defined case-by- case

IMC Annual Meeting 2011, EIMC ECC v0.1 Error-free Metadata- data congruence Error- free data ECC V0.1

google_doc_quality_check s Collected Quality Checks

IMC Annual Meeting 2011, EIMC EML Congruency Checker Version 0.1 Checks: 1.Data URL is valid 2.Display data from the URL 3.Database table can be generated 4.Data can be loaded into the database table 5.Compare number of rows loaded to number specified in metadata

ECC v0.1 – Current Capability IMC Annual Meeting 2011, EIMC Quality Check Field: System KNB: any package LTER: apply only to LTER Type: Data Metadata Congruence Status: Valid, Info, Warn, Error

T17:22:59 knb-lter-sbc.25.7 Detritus_Biomass_All_Years.csv Online URLs are live Check that online URLs return something true true Succeeded in accessing URL: Create database table Status of creating a database table A database table is expected to be generated from the EML attributes. A database table was generated from the attributes description CREATE TABLE Detritus_Biomass_All_Years_csv(YEAR TIMESTAMP,MONTH TIMESTAMP,DATE TIMESTAMP,SITE TEXT,TRANSECT TEXT,TREATMENT TEXT,QUAD TEXT,SIDE TEXT,SP_CODE TEXT,WET_WT FLOAT,AREA INTEGER,NOTES TEXT,GENUS TEXT,SPECIES TEXT,SIZE TEXT,functional_GROUP TEXT,SURVEY TEXT,KINGDOM TEXT,PHYLUM TEXT,CLASS TEXT,taxon_ORDER TEXT,FAMILY TEXT,GENUS1 TEXT,SPECIES1 TEXT,COMMON_NAME TEXT,Substrate_type TEXT,Mobility TEXT,Growth_morph TEXT); Display some data Display the first row of data One row of data should be displayed Data load status Status of loading the data table into a database No errors expected during data loading or data loading was not attempted for this data entity The data table loaded successfully into a database Number of records check Compare number of records specified in metadata to number of records found in data The expected number of records (1962) was found in the data table.

Future Direction Implement full suite of quality checks Work form current list (Google spreadsheet) Design/specify Metadata Quality Checks with LTER Network Information System developers and Tiger Team Improve community customization Separate quality check configuration from processing logic where possible Engage community through collaborative effort

production oriented workshop: Criteria for “pasta-ready” Involve Pilot sites Use pasta calendar Synthesis data project calendar PASTA = provenance automatic synthesis tracking system