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Laboratory Ethics

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Title: Laboratory Ethics


1
Laboratory Ethics Data Integrity
  • Presentation to KWWOA
  • April 2, 2008
  • Department for Environmental ProtectionEnvironmen
    tal Public Protection Cabinet

To Protect and Enhance Kentuckys Environment
2
Science Fraud
  • Of all the violations of the ethos of science,
    fraud is the gravest. As with error, fraud
    breaks the vital link between human understanding
    and the empirical world, a link that is sciences
    greatest strength. But fraud goes beyond error
    to erode the foundation of trust on which science
    is built. (Committee on the Conduct of Science,
    1989)

3
Laboratory Ethics and Data Integrity
  • What You Need To Know

4
Laboratory Fraud
  • Defined as
  • the deliberate falsification of analytical and
    quality assurance results, where failed method
    and contractual requirements are made to appear
    acceptable during reporting.

5
Ethical Behavior
  • Defined as
  • Behavior that conforms to accepted professional
    standards of conduct unethical behavior
    therefore is behavior not conforming to those
    standards.

6
Bad and Fraudulent Data
  • Incorrect data may either be the result of bad
    techniques, training or human error.
  • Fraudulent data is the result of an individual
    purposefully misrepresenting data that does not
    conform to a given set of standards or criteria
    and making it appear as if it does.

7
Unethical Conduct Being Addressed
  • ACS
  • NELAC / AOAC
  • ISO / IEC 17025
  • EPA
  • DoD
  • Primacy States
  • Private Industry

8
Producers of Laboratory Data
  • Field / Sample Technicians
  • Sample Custodian
  • Laboratory Chemists / Technicians
  • Report Generation Group
  • LIMS / Information Technology
  • Laboratory Managers

9
Data Users
  • Plant Operators
  • Plant Supervisors / Managers
  • Regulators
  • General Public

10
Data Checks and Balances
  • Laboratory Chemists / Technicians
  • Laboratory Quality Assurance Dept.
  • Laboratory Managers
  • Data Validator (Third Party)
  • Auditor (In-house / Third Party)
  • Regulators

11
Life Cycle of a Water Sample
  • Sample Collection
  • Sample Analysis
  • Sample Report
  • Operator
  • Operation / Plant Decisions
  • Results Reported to State Regulator
  • Public Information
  • State Reports Results to EPA
  • Records Retention

12
Legacy of Sample Results
  • Laboratory Files (hardcopy)
  • Laboratory Notebooks
  • Magnetic Tape (Electronic media)
  • Plant Files
  • State Files Database
  • EPA Database

13
Fraudulent Data Takes Many Forms
  • Dry Labbing
  • Time Traveling
  • Juicing
  • Improper GC/MS Tuning
  • Improper Calibration / QC Analysis
  • Peak Shaving
  • Misrepresentation of QC Samples and Spikes
  • File substitution
  • Unwarranted Manipulation of Computer Software
  • Improper Alteration of Analytical Conditions
  • Over Dilution of Samples or Misrepresentation of
    Detection Limits
  • Deletion of Non-Compliant Data
  • Concealment of a Known Problem

14
Why?
  • Shrinking Market
  • Low Prices Cutting Corners
  • Insufficient Resources / Training
  • Unclear Management Position
  • Employee Perception
  • Employee Personal Issues

15
Repercussions
  • Inaccurate or inappropriate changes to plant
    operating conditions
  • Incorrect data reported to regulators
  • May place public at risk
  • Criminal implications
  • Employment consequences

16
Laboratory Ethics and Data Integrity
  • What You Need To Do

17
Certified Laboratories
  • Adopt Best Practices for the Detection and
    Deterrence of Laboratory Fraud
  • Establish Ethics and Data Integrity Policy
  • Utilize Contractual Agreements
  • Adopt QAPP, SAMP, DQO and SOP
  • Consider Third-Party Experts

18
Ethics Data Integrity Policy
  • Laboratories should have a company ethics policy
    read and signed by all employees
  • Training should be provided to staff
  • Specific SOPs for each method performed by the
    laboratory should be written and maintained
  • Laboratory management must provide adequate
    resources and assign sufficient authority to
    supervisors

19
What Labs Can Do - Ethics
  • Ethics Compliance Plan
  • Ethics Policy or Statement
  • Employee Ethics Agreements
  • Ethics Training Communication
  • Ethics Program Management
  • Ethics Procedures (assistance and reporting
    mechanism)
  • Zero Tolerance Policy
  • Compliance Audits

20
What Labs Can Do Non Tangible
  • Ensure Capacity
  • Ensure Responsibility and Authority
  • Demonstrate Accountability
  • Scientific Approach
  • Maintain Objectivity
  • Maintain Impartiality
  • Measurement Traceability
  • Reproducibility
  • Transparency

21
EPA Guidance and Training
  • Developing an SOP for detecting and reporting
    potentially fraudulent laboratory activities
  • Fraud awareness workshops
  • Increasing scrutiny by data reviewers /
    validators
  • EPA Fraud Hotline 1-888-546-8740
  • Developing a fraud profile checklist for on-site
    auditors to prompt auditors to look for
    indicators of potential fraud
  • Requiring use of bound laboratory notebooks
  • http//www.epa.gov/QUALITY/qa_docs.html

22
QAPP, SAMP, DQO and SOP
  • Prepare Project Specific Documents Tailored To
    Sampling / Analytical Requirements
  • Update Documents at Least Annually
  • Make Documents Available to Necessary Personnel
    (Field, Lab, etc)
  • Reference Documents in Contract Agreements

23
Quality Assurance Project Plan
  • EPA Requirements for Quality Assurance Project
    Plans (QAPPs) EPA QA/R-5 March 2001
    EPA/240/B-01/003
  • EPA Guidance for Quality Assurance Project Plans
    (QAPPs) EPA QA/G-5 December 2002
    EPA/240/R-02/009

24
Sampling, Analysis Monitoring Plan
  • Guidance on Choosing a Sampling Design for
    Environmental Data Collection (QA/G-5S) December
    2002 EPA/240/R-02/005.

25
Data Quality Objectives
  • EPA Guidance on Systematic Planning using the
    Data Quality Objectives Process (QA/G-4)
    February 2006EPA/240/B-06/001
  • Provide a fundamental role in data collection
    activities
  • Allows decision makers to define their data
    requirements and acceptable levels of data error,
    based on intended use of data
  • Specifies relevant data quality requirements
    which could potentially impact data use
    limitations
  • DQO process minimizes expenditures while
    producing data of sufficient quality for its
    intended use

26
Standard Operating Procedures
  • EPA Guidance for Preparing Standard Operating
    Procedures (SOPs) EPA QA/G-6 April 2007
    EPA/600/B-07/001

27
What PWS Can Do
  • Utilize more than one laboratory
  • Contractual agreements
  • Consider third-party experts

28
Use More Than One Laboratory
  • Reduces / eliminates overload
  • Split-sample opportunities
  • Similar results build confidence with clients
  • Helps ensure that key decisions are not based on
    a single data source

29
Contractual Agreements
  • Boiler plate language is available
  • QA/QC requirements
  • DQO requirements
  • Specify intended use of data
  • Pertinent documents must be included (or
    referenced) in the agreement

30
Consider Third-Party Experts
  • Perform on-site evaluations (audits)
  • Provide added value to program
  • Additional cost
  • Independent parties with respect to business
    decisions, laboratory, findings, final report,
    etc.
  • Deterrent to potential fraud

31
Report Fraud in Kentucky
  • EPPC Office of the Inspector General
  • OIG Hotline 1-888-564-0498

32
Questions
  • ?

33
Contact Information
  • Patrick J. Garrity
  • Certification Officer Division of Water14
    Reilly Road
  • Frankfort, KY 40601
  • Phone (502) 564-3410 ext. 574
  • Fax (502) 564-2741
  • Email patrick.garrity_at_ky.gov
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