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There
are approaches that the faculty member can take in proceeding with her grant
proposal:
- If the graduate student agrees to repeat
the critical experiments, she can include them in the proposal, rather
than the earlier ones he conducted. Of course, there is the possibility
that the data from these repeated studies will not support her hypotheses.
- She can complete the grant proposal without
these data, realizing that it may lessen her chances of receiving funding.
- She can include the original data from
the graduate student's studies, noting that they are preliminary and
need to be repeated with greater stringency on the experimental design.
- She can decide to delay submission of
the proposal until the next submission deadline and work with the graduate
student to develop a strong data set for the proposal.
- She can propose that the two of them work
on the critical experiments together. The graduate student can help
set up the experiments and the faculty member, with assistance from
her technician, can complete them. In this way the graduate student
will be able to attend his family reunion and the faculty member will
have the needed data for her grant proposal.
The last approach has the possibility of
satisfying both the faculty member and the graduate student. It also exemplifies
good mentoring. By working together the faculty member will actively demonstrate
the importance of this work. By assuming some of the responsibility for
conducting the experiments she will show the graduate student that she
values his personal as well as professional life.
In each of the remaining approaches the faculty member will need to make
concessions—in her relationship with the graduate student, in the
rigor of her grant proposal, or in the time before the grant, if funded,
is available to her. The best resolution to this dilemma, of course, is
to avoid it. Open communication with her graduate student, clarifying
the complex nature of research in an academic setting to the student,
and regular review of both the experimental design and the raw data collected
by the student will help in avoiding the situation the faculty member
faced in this case study.
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