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Research Integrity: Collaborative Research

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Intellectual property. Keys to Successful Collaboration ... Intellectual property. Data Sharing. Factors influencing the decision to share: ... – PowerPoint PPT presentation

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Title: Research Integrity: Collaborative Research


1
Research Integrity Collaborative Research
  • Michelle Stickler, DEd
  • Office for Research Protections
  • 814-865-1175
  • mmc115_at_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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