Share thisIn conversations about biomedical research at your facility, you can influence a positive view by reporting results as good science. A practical framework for that purpose is the one that Angélique Bordey uses when teaching and training graduate and medical students at Yale University. Her framework forms a handy checklist when planning conference talks, reporting output to press and publicity agents, preparing project proposals, and responding to members of the public who question the clinical, ethical, and financial value of biomedical investigations.
REPORTING RESULTS AS GOOD SCIENCE
Is it a Good Question?
When summarising a project’s central question, mention what you’ll learn and then focus on an impact statement: what can science do with the information. For example, consider a project about some aspect of how the brain works— like understanding cognition and how this relates to cognitive deficits during the course of a disorder or can be translated into repair. When speaking about it, concentrate on how this project will move the field forward—for example learning to repair the spinal cord or damaged brain tissue—or how it opens a new field of investigation.
Is it the Right Investigation?
Set out the logic. For example, mutation in certain molecules may lead to epilepsy, so it may be very important to understand how this mutation affects the function of this molecule or even try to understand what the function of this molecule is in brain development or circuit activity. (In this instance, you’d want to confirm that different species share this molecule. Few would be interested if it occurs only in, say fruit flies or C. elegans.)
Is it a Leading-edge Experimental Design?
Once you’ve spoken about the good question and the right investigation, mention techniques—and collaboration, if any. (Some of the best research is collaborative, as few labs are comprehensively equipped.) Speak about the best techniques available—those used in your lab and techniques collaborators use. Some techniques, such as genetic manipulation in vivo, are associated with trends in science and may be familiar to many and varied audiences.
Is it Quality Data?
You may wish to mention accuracy: for example, how do you know that the electrophysiological recordings are correct? Of greater import is quality and interpretation. How did you/will you evaluate the data? What qualifications did you apply, if any? Can you validate your interpretation using a second method? What other experiments, if any, could you perform to validate the data?