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Electronic Management of Environmental Analytical Data. Anand Mudambi USEPA National Environmental Monitoring Conference 2011 August 16, 2011. Data Management Issues. Multiple databases, processes, procedures, and methods for the same information

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electronic management of environmental analytical data

Electronic Management of Environmental Analytical Data

Anand Mudambi

USEPA

National Environmental Monitoring Conference 2011

August 16, 2011

data management issues
Data Management Issues
  • Multiple databases, processes, procedures, and methods for the same information
  • Consistent and stable business driven framework needs to be prescribed with all data generated registered into an Agency catalogue
data management goals
Data Management Goals
  • Need to develop and implement:
    • paperless data generation
    • paperless data transfer/exchange
    • review and management (input and retrieval) systems for all types of project data (e.g., field, chain-of-custody, analytical)
some data management system concepts
Some Data Management System Concepts
  • Need to build systems that are used regularly
  • Same systems for regular and emergency use
  • System should be capable of being scaled up or down (e.g., number of samples, reporting of QC data)
data management frameworks examples
Data Management Frameworks: Examples
  • EPA’s Environmental Response Laboratory Network and Water Laboratory Alliance
  • EPA’s Contract Laboratory Program
  • USACE ADR.net
general environmental data flow needs for going electronic
General Environmental Data Flow: Needs for Going Electronic
  • Standard formats for electronic project requirements.
  • Standards/templates for field information.
  • Standard formats for reporting analytical data.
  • Standard procedures for reviewing analytical data.
  • Standard formats for reporting reviewed analytical data
standard format requirements
Standard Format Requirements
  • Non-Proprietary Formats (e.g., XML)
  • Use international standards for Valid Values (e.g., ISO, IEEE, ASTM)
  • Guidance/Specification/Requirement Documents
first needs data capture requirements
First Needs: Data Capture Requirements
  • Need to develop the following:
    • Standard Specification for Laboratory Instrument Output files (e.g., NIST’s AnIML)
    • Standard Specifications for Laboratory Information Management Systems (e.g., as an RFP)
    • Standard Electronic Versions for Measurement Quality Objectives (e.g., ERLN WebEDR MQO Template)
followed by adoption of standard reporting formats guidance
Followed By:Adoption of Standard Reporting Formats/Guidance
  • Laboratory Data
    • e.g., Staged Electronic Data Deliverable (SEDD) for EPA (ERLN, CLP, GLPNO) and USACE programs, ERLN EDDs
  • Chain-of-Custody Information
    • e.g., WLA Response Plan (Appendix H)
then data reporting formats tools
Then: Data Reporting Formats/Tools
  • EPA and NIST
    • Developing an electronic deliverable that contains all laboratory and instrument data in a non-proprietary format for archival and retrieval (SEDD with AnIML)
  • EPA Forms Generator
    • Generating different reporting formats from the same electronic deliverable (e.g., CLP and CLP – like forms)
leads to data assessment
Leads to:Data Assessment
  • Data Analysis or Assessment
    • Confidence in the reliability of data and ability to use appropriately are important
    • Consistent application of the data life-cycle and enforcement of data quality policies for greater confidence
    • Scientific Integrity
facilitating data assessment by automating data review
Facilitating Data Assessment byAutomating Data Review
  • Example Data Review Software

EPA ERLN WebEDR, EPA CLP EXES,

USACE Automated Data Review.NET

  • Need Specifications for Data Review Software
facilitating data assessment by identifying data quality
Facilitating Data Assessment by Identifying Data Quality
  • Capturing Data Review Steps In End User Databases
    • e.g., EPA’s Guidance for Labeling Validated Analytical Data
why do all this benefits
Why do all this:Benefits
  • Ease of data exchange
  • Ease of data storage and retrieval
  • Allows for verifying reported data (current and in future)
  • Allows for reuse of data
getting to an electronic world
Getting to an Electronic World
  • Need to get rid of the “Not-Invented-Here-Syndrome” (i.e., adoption of agency specific standards/systems)
  • Need all parties (Federal and State Labs) to cooperate and adopt a set of data management standards that can be used by all parties
websites 1
Websites - 1
  • ERLN:

http://www.epa.gov/oemerln1/

  • WLA: http://water.epa.gov/infrastructure/watersecurity/wla/index.cfm
websites 2
Websites - 2
  • SEDD:

http://www.epa.gov/fem/sedd.htm

  • EPA’s Guidance for Labeling Validated Analytical Data : http://www.epa.gov/superfund/policy/pdfs/EPA-540-R-08-005.pdf
contact information
Contact Information
  • Anand Mudambi

Mudambi.Anand@epa.gov

202-564-2817

  • Joseph Solsky

Joseph.F.Solsky@usace.army.mil

402-697-2573