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Research Integrity: Collaborative Research

Research Integrity: Collaborative Research. Michelle Stickler, DEd Office for Research Protections 814-865-1175 mmc115@psu.edu www.research.psu.edu. Reasons to Collaborate. Complexity of research Funding opportunities Ease of communications. Potential Challenges.

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Research Integrity: Collaborative Research

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  1. Research Integrity: Collaborative Research Michelle Stickler, DEd Office for Research Protections 814-865-1175 mmc115@psu.edu www.research.psu.edu

  2. Reasons to Collaborate • Complexity of research • Funding opportunities • Ease of communications

  3. Potential Challenges • Different personalities / styles • Different research practices • Compliance considerations • Intellectual property

  4. Keys to Successful Collaborationfrom Macrina, F. Scientific Integrity: An Introductory Text with Cases. Second Edition. American Society for Microbiology Press. 2000. • COMMUNICATION! Discuss: • Responsibilities • Publication and authorship • Data and materials • Intellectual property

  5. Keys to Successful Collaborationfrom Macrina, F. Scientific Integrity: An Introductory Text with Cases. Second Edition. American Society for Microbiology Press. 2000. • COMMUNICATION! Discuss: • Responsibilities • Publication and authorship • Data and materials • Intellectual property

  6. Responsible Authorship • What to publish • Proper citation • Authorship credit and responsibility

  7. What to Publish • New and substantial findings or analysis • Avoid salami publication (LPU/MPU) • Avoid duplicate submission & publication • Objective and unbiased • Avoid misleading claims • Clearly and openly describe methods • Use statistics appropriately and accurately • Acknowledge limitations

  8. Scenario From Ethics and Policy in Scientific Publication (1990), Council of Biology Editors, Inc., Bethesda, MD, p. 70. A researcher reports on his work in a controlled circulation, or “throwaway”, newsletter produced and distributed free by a professional society in the field. He writes a similar report and submits it to a peer-reviewed journal. The report in the newsletter is already being cited in the peer-reviewed literature. The editor of the journal rejects the paper on the grounds that the material has already been published, citing rules and arguments regarding duplicate publication. The author states that the earlier report did not constitute publication, because the throwaway newsletter was not peer-reviewed, not generally available through libraries, and not indexed and abstracted by secondary services.

  9. Discussion Questions • What constitutes prior publication? • How do you define “throwaway” publication in your discipline? • Does the author have a valid argument? • Is duplicate publication ever acceptable?

  10. Proper Citation • Adequately and accurately cite literature • Include adequate references to document ideas • Verify that referenced works are consistent with the ideas and information credited to them • Cite original sources • Check the accuracy of citations

  11. Discussion Question • Should you acknowledge (and cite) prior “research” published in a “throwaway” publication or white paper?

  12. Keys to Successful Collaborationfrom Macrina, F. Scientific Integrity: An Introductory Text with Cases. Second Edition. American Society for Microbiology Press. 2000. • COMMUNICATION! Discuss: • Responsibilities • Publication and authorship • Data and materials • Intellectual property

  13. Responsible Data Management • Data Selection: experimental design, protocol submission, approval by institutional committee(s) • Data Collection: ensuring quality & avoiding bias, adequate recordkeeping • Analysis & Selection: statistical analyses, criteria for including & excluding data • Data Ownership: responsibility and rights for collection, use, and sharing • Data Retention: duration, security, and accessibility • Sharing of Data: what to share, when, and with whom

  14. Data Collection • How will data be recorded; what conventions? • Are all personnel trained to use instruments? • Have QA measures been implemented? • Has QC process been identified?

  15. Quality Assurance • Detailed list of data items to be collected • Step-by step instructions for administering instruments, making adjustments to, and calibrating instruments • Process for training all research personnel • Mechanism for documenting changes in procedures

  16. Quality Control • Errors requiring prompt action: • Errors in individual data items • Systematic errors • Violation of protocol • Problems with staff or site performance • Research misconduct

  17. Improper Data Collection: Consequences • Inability to answer research questions accurately • Inability to repeat or validate the study • Distorted findings = wasted resources • Misleading to other scholars • Compromise decisions for public policy • Causing harm to human participants

  18. Scenario • Discuss the “Lazy Students” case

  19. Data Handling • Be sure to consider: • Who has access to which data • Data handling procedures • Plan for long-term storage & disposal

  20. Scenario • Discuss the “Data Gone Astray” case

  21. Data Analysis • Come to agreement on: • Missing data points • Outliers • Presenting derived vs. raw data • Reporting significant and insignificant results • Train data raters to reduce inconsistencies

  22. Keys to Successful Collaborationfrom Macrina, F. Scientific Integrity: An Introductory Text with Cases. Second Edition. American Society for Microbiology Press. 2000. • COMMUNICATION! Discuss: • Responsibilities • Publication and authorship • Data and materials • Intellectual property

  23. Data Sharing • Factors influencing the decision to share: • Proprietary, economic, or security concerns • Providing all materials needed • Technical obstacles • Confidentiality • Concerns about qualifications of data requesters • Costs associated with sharing

  24. Data Sharing • Recommendations: • Pre-publication – open data policy with appropriate caution • Willingness to share data post-publication with other researchers within reason

  25. Communication = Successful Research = Quality Research!

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