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CLU-IN Studio
United States Environmental Protection Agency
QA in Electronic Environmental Data Management
Sponsored by: U.S. EPA
Original Time/Date of Presentation:

October 20, 2011, 10:30 AM - 4:00 PM, EDT (14:30-20:00 GMT)

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Presentation Overview:

Electronic recordkeeping is increasingly replacing handwritten records in the course of normal business. As this trend continues, it is important that organizations develop and implement electronic recordkeeping policies and procedures. This is especially true for scientific data that the US EPA (Agency) uses for drafting regulations and decision making impacting public health. The purpose of this presentation is to share and discuss information on:

  1. Part I. Version 2 of EPA's Environmental Data Standards (EDS) used to store and share data with its partners (States, Locals, and Tribes), particularly the four related to QA/QC for field and analytical laboratory data will be discussed:
    1. Final Environmental Sampling, Analysis and Results: Project. EX000002.2, February 4, 2010 (development of QAPPs is mentioned)
    2. Final Quality Assurance/QC Data Standard, EX000012.2, February 4, 2010 (upper and lower confidence limits are discussed)
    3. Final Environmental Sampling Analysis and Results: Field Activity Data Standard, EX000004.2, February 4, 2010 (field QC results duplicates, blanks are discussed)
    4. Final ESAR: Analysis and Results, EX000005.2, February 4, 2010 (laboratory QC results are discussed)

    Feedback will be sought on audience experience with EDS.
  2. Part II. Effective Data Capture and Management Systems (EDCMS). Part II covers features to develop to ensure the scientific integrity of electronic records, uniform capture and preservation, whenever environmental data is collected in EDCMS. This Part further covers elements for ensuring data entered or any changes occurring to data are traceable and secure, producing "new" data from existing data, and avoiding time related data corruption (through medium upgrade and software change) and data accessibility throughout its lifecycle. Feedback will be sought on audience experience with EDCMS.
  3. Part III. Data Quality Screening Using Trend Charts and Electronic Data Systems. The importance of a Quality Assurance Project Plan (QAPP) for demystifying data quality will be discussed. "Core" QC field and laboratory elements for screening data quality in a transparent, quantitative manner will also be proposed. Feedback will be sought on the charts, "core," and on how others have screened for data quality.

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