thical issues

ETHICAL ISSUES IN RESEARCH AND SCHOLARSHIP

OUTLINE

  • 7 Areas of Research Misconduct

  • Ethical Issues Regarding Copyright

  • Model for Considering Scientific Misconduct

  • Protecting Human Participants

  • Protecting Animal Subjects

7 AREAS OF RESEARCH MISCONDUCT

  • Definition by U.S Department of Health and Human Services Office of Research Integrity:

    • "Fabrication, falsification, or plagiarism in proposing, performing, or reviewing research, or in reporting research results. It does not include error or differences of opinion."

  • Specific Areas of Research Misconduct:

    • Plagiarism

    • Data Fabrication/Falsification

    • Nonpublication of Data

    • Faulty Data-Gathering Procedures

    • Poor Data Storage and Retention

    • Misleading Authorship

    • Unacceptable Publication Practices

PLAGIARISM

  • Definition:

    • The act of using someone else's ideas, writings, or drawings.

  • Citation Guidelines:

    • It is inappropriate to use small, medium, or large sections of text from a source, even with a citation.

    • Changing a few words while maintaining original sentence structure is insufficient to avoid plagiarism.

    • Direct quotes should be used sparingly and must always be cited.

  • Consequences:

    • Plagiarism incurs severe penalties across academic institutions.

    • Co-authors of a plagiarizing author can also face punitive consequences.

  • Best Practices:

    • Never submit work with your name without reviewing and approving it first.

PLAGIARISM EXAMPLE

  • Original Source:

    • After graduation in 1900, Einstein faced one of the greatest crises in his life. Because he studied advanced subjects on his own, he often cut classes; this earned him the animosity of some professors, especially Heinrich Weber. Unfortunately, Einstein asked Weber for a letter of recommendation. Einstein was subsequently turned down for every academic position that he applied to.

    • Citation: Albert Einstein. (2014). In Encyclopædia Britannica. Retrieved from http://school.eb.com/levels/high/article/106018

  • Student's Version:

    • When Einstein graduated in 1900, he was confronted by a huge crisis. He often studied advanced subjects by himself at home while skipping classes, which irritated some professors, especially Heinrich Weber. Yet Einstein still asked Weber for a letter of recommendation, which guaranteed his rejection for every academic position to which he applied.

DATA FABRICATION AND FALSIFICATION

  • Context:

    • High pressure exists to publish positive research results, particularly in medical and health-related disciplines due to factors like:

    • Expense

    • Need for External Funding (e.g., grants)

    • Riskiness of Research

    • Results in temptation to alter data or fabricate results.

  • Institutional Involvement:

    • Established scholars can be indirectly involved if they collaborate with those who falsify data to uphold grant predictions.

  • Definition of Falsification:

    • The practice of perceiving desired outcomes instead of the actual results, leading to confirmation bias in reporting.

  • Example:

    • David Baltimore (Nobel laureate) co-authored a paper in 1986, which was incorrectly perceived as confirming expected results. Accusations arose against his co-authors, leading to his resignation from Rockefeller University.

NONPUBLICATION OF DATA

  • Definition:

    • The practice of excluding certain data subsets that do not support desired outcomes.

  • Issues:

    • Poor data should be identified (e.g., calibration errors in instruments).

    • Altering or removing values during analyses is referred to as "cooking" and is unacceptable.

    • Outliers: Extreme results by participants that are sometimes unjustifiably excluded (trimmed).

    • Must investigate whether an outlier is genuine or erroneous.

  • Ethical Obligation:

    • Authors should publish all findings from research, regardless of whether they align with hypotheses.

FAULTY DATA-GATHERING PROCEDURES

  • Risks of Poor Practices:

    • Continuing data collection from participants who do not meet the study's requirements (e.g. poor effort, non-adherence).

    • Using malfunctioning research equipment.

    • Not following agreed-upon ethical procedures when treating participants.

    • Incorrectly recording data, leading to potential misconduct or falsified results.

POOR DATA STORAGE AND RETENTION

  • Guidelines:

    • Data must be stored as originally recorded and not altered.

    • Lab notebooks should be maintained securely.

  • Ownership:

    • Typically, the institution or funding agency owns the research data, not the individual authors.

MISLEADING AUTHORSHIP

  • Authorship Standards:

    • The order of authorship should reflect individual contributions to the research and project.

    • The first author is generally credited with developing the research idea and plan.

    • Subsequent authors should be listed based on their contributions, with senior authors often appearing last.

    • Technicians' contributions do not always warrant co-authorship.

UNACCEPTABLE PUBLICATION PRACTICES

  • Cultural Pressure:

    • Untenured faculty face pressure to publish to achieve promotions or tenure, resulting in the "Publish or Perish" culture.

    • Instances of inappropriate authorship, such as professors including themselves as authors on student research without involvement, are wholly unacceptable.

  • Dual Publication:

    • Publishing the same research in multiple journals is prohibited; however, reprinting agreements may exist.

ETHICAL ISSUES REGARDING COPYRIGHT

  • Ownership of Published Materials:

    • Researchers may need to use tables or figures from other sources, which are typically under copyright.

    • Permission must be sought from copyright holders.

  • Fair Use Guidelines:

    • 1) Purpose: Is the usage commercial or educational?

    • 2) Nature: Is the copying considered common? (e.g., personal use is expected, but copying entire works is not.)

    • 3) Amount: How much content is being copied?

    • 4) Effect: Impact on market value, such as copying academic journal articles versus entire issues.

MODEL FOR CONSIDERING SCIENTIFIC MISCONDUCT

  • Sanctions for Research Misconduct:

    • Institutions may impose various sanctions on fraudulent researchers, including:

    • Restriction of Academic Duties

    • Termination of Project Work

    • Reduction in Professional Rank

    • Fines for University Costs

    • Salary/Promotion Freeze

    • Monitoring of Research with Past Publication Review

    • Prohibition from Receiving Future Grants

    • Legal Referrals

PROTECTING HUMAN PARTICIPANTS

  • General Considerations:

    • Research often involves human subjects, including special populations (e.g., children, elderly, individuals with disabilities).

  • Ethical Responsibilities:

    • Researchers must assess potential risks or discomforts, which can include:

    • Physical Risks

    • Psychological Risks

    • Emotional Risks

    • Social Risks

  • Risk-Benefit Analysis:

    • The benefits of research must outweigh the risks to participants.

  • Informed Consent:

    • Participants must be informed of research details prior to involvement and provide consent.

PROTECTING HUMAN PARTICIPANTS: INFORMED CONSENT

  • Content of Informed Consent Forms:

    • Must be comprehensible without jargon.

    • Include:

    • Purpose of research

    • Expected time commitment

    • Procedures participants will undergo

    • Foreseeable risks and discomforts

    • Benefits of participation

    • Confidentiality procedures

    • Compensation details (if applicable)

    • Contact information for IRB and lead investigator

    • Voluntary participation notice and withdrawal rights

PROTECTING ANIMAL SUBJECTS

  • Institutional Oversight:

    • Research involving animals is overseen by the Institutional Animal Care and Use Committee (IACUC), ensuring humane treatment.

  • Ethical Justifications for Animal Use:

    • Significant advancements in human health, justified by:

    • Drug Testing

    • Modeling Human Diseases

    • Basic Research

    • Educational Purposes

    • Surgical Technique Development

  • Animal Welfare:

    • Animals must be well cared for, and procedures leading to incapacitation must be humane.