Difference between revisions of "Resource:2958e5c9-7d9e-44c9-aca0-7e3c0ad7afe8"
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{{Resource | {{Resource | ||
|Resource Type=Cases | |Resource Type=Cases | ||
| − | |Title= | + | |Title=Researcher 'Cherry Picked' Data, University Investigation Finds |
| − | |Is About=This case is about | + | |Is About=This case is about a professor of biomedical engineering whose paper got retracted because only certain data points were reported that supported the paper's conclusion. |
| − | + | |Important Because=Scientific fraud is not only about presenting false data, but also about not 'cherry picking' i.e. selecting certain data points to confirm or suport a specific hypothesis or make a result appear more spectacular. | |
| − | + | |Important For=Researchers; Postdocs; PhD students; Graduate students | |
| − | |||
| − | |Important Because=Scientific fraud is not only presenting false data, but also | ||
| − | |||
| − | |||
| − | |||
| − | |Important For=Researchers | ||
}} | }} | ||
{{Link | {{Link | ||
|Has Link=https://retractionwatch.com/2017/10/24/florida-researcher-cherry-picked-data-university-investigation-finds/ | |Has Link=https://retractionwatch.com/2017/10/24/florida-researcher-cherry-picked-data-university-investigation-finds/ | ||
}} | }} | ||
| − | {{Related To}} | + | {{Related To |
| + | |Related To Theme=Theme:88b73549-fec0-4fb9-99f6-fe1055d6b76a | ||
| + | }} | ||
{{Tags | {{Tags | ||
| − | |Involves= | + | |Involves=Retraction Watch |
|Has Timepoint=24-10-2017 | |Has Timepoint=24-10-2017 | ||
|Has Location=USA; United States | |Has Location=USA; United States | ||
Latest revision as of 19:03, 25 October 2020
ResourcesCases
Researcher 'Cherry Picked' Data, University Investigation Finds
What is this about?
This case is about a professor of biomedical engineering whose paper got retracted because only certain data points were reported that supported the paper's conclusion.
Why is this important?
Scientific fraud is not only about presenting false data, but also about not 'cherry picking' i.e. selecting certain data points to confirm or suport a specific hypothesis or make a result appear more spectacular.
