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Preliminary Studies

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Include enough information to show you know what you're talking about. ... Tell them how your early work prepared you for the new project. ... – PowerPoint PPT presentation

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Title: Preliminary Studies


1
Preliminary Studies
  • Jay F. Piccirillo, MD, FACS
  • Professor and Director
  • Clinical Outcomes Research Office
  • Department of Otolaryngology Head and Neck
    Surgery
  • Washington University School of Medicine
  • St. Louis, Missouri

2
Purposes
  • Support scientific basis for the aims of the
    grant
  • Demonstrate that research can be done
    (successfully) and that you can do it (possess
    the technical capability)
  • Reviewers use the preliminary studies section to
    assess your competence to do the work.

3
Demonstrating The Feasibility Of Your project
  • No matter what they say (ie., R03, R21) you
    ALWAYS need pilot data
  • Preliminary data help make case that research can
    be done
  • NIH wants to fund research that has high
    likelihood of being successful
  • For K award, data can come from mentors lab
  • Trainee-derived data is very good

4
  • By providing preliminary data, build reviewer
    confidence that you can handle the technologies,
    understand the methods, and interpret results
  • Interpret preliminary results critically
  • Give alternative meanings to the data to show
    you've thought the problem through and will be
    able to meet future challenges
  • If you don't do this, the reviewers will!

5
  • Include enough information to show you know what
    you're talking about.
  • The more complex the project, the more data you
    need.
  • Tell them how your early work prepared you for
    the new project.
  • Though you may include other people's
    publications, focus on your preliminary data or
    unpublished data from your lab. If you must
    present results from other labs, make clear which
    data are yours and which are not.
  • Include previous experience that shows you can
    direct the proposed research and achieve its
    aims.

6
  • Each subsection should be headed with topic
    sentence or phrase that concisely conveys
    observation and conclusion
  • Headings should be underlined or bold font

7
Amount Of Data To Include
  • The larger the project (read greater ), the
    greater the amount of preliminary data
  • Smaller projects (R03,R21, K awards) less detail
    data required
  • Calibrate your presentation to the goals of the
    project and the RFA
  • R01 emphasis on meaningful results
  • R03,R21, K high-risk exploration or training of
    new scientists

8
Format
  • Subsection should contain data in the form of
    Figures and Tables
  • Data should
  • Support a hypothesis
  • Show a technique
  • Both
  • Self-explanatory, concise
  • Bottom Line Tools to approach the aims are in
    place and functional in your laboratory or
    through close collaborators

9
Supporting Hypotheses
  • Present evidence that shows your hypotheses are
    plausible, feasible, and experimentally
    approachable
  • Tell a story that steers reader toward
    understanding the reasons behind the hypotheses
  • Preliminary data section points to the next
    logical step ? Your planned research

10
Show A Technique
  • Methods central to the grant proposal should be
    demonstrated and shown to be possible
  • Level of methodological detail depends on
  • The degree of novelty of technique standard
    techniques require less information,
    novel/unvalidated techniques require more
    information
  • Level of investigator seasoned investigator will
    present less detail, novice presents more
  • Your challenge to convince reviewers you posses
    or can acquire abilities, techniques, equipment,
    and materials to perform all the experiments
    listed in Research Design and Methods

11
Organization
  • Conclude each section that summarizes the point
    of the section
  • May seem redundant but makes the point
  • Directness reinforces and unifies your ideas
    give whole application cohesiveness

12
Common Errors
  • Failure to indicate source of data
  • Unnecessarily complicated figures or tables
  • Showing data not clearly related to the proposed
    work
  • Poor organization
  • Omission of important points or procedures

13
Failure To Indicate The Source Of Data
  • All data should be provided directly from your
    work or collaborators
  • Source of data clearly indicated and described
    (you vs. collaborators)
  • For training grants bulk of data from mentors
    lab
  • For established investigators bulk of data from
    investigator's lab

14
Unnecessarily Complicated Figures or Tables
  • Clarity is key!
  • Avoid figure with multiple arms making multiple
    points
  • Each figure should make one point

15
Do Not Show Data Unless Clearly Related To The
Proposed Work
  • ALL data in this section should related directly
    to the proposed hypotheses and/or techniques
  • Information that is peripheral detracts
  • This section provides crucial transition between
    Background and Significance and Research
    Design and Methods

16
Poor Organization
  • Logical flow avoid random assortment of
    experiments
  • Organization skill in this section provides
    positive reflection of your ability to think and
    assemble data

17
Omission Of Important Points Or Procedures
  • New ideas or techniques utilized in the
    experimental plans should be addressed in this
    section
  • Supporting data needs to be cited
  • This section should stand alone avoid use of
    appendices
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