Scientific Misconduct - Suppression/non-publication of Data

Suppression/non-publication of Data

A related issue concerns the deliberate suppression, failure to publish, or selective release of the findings of scientific studies. Such cases may not be strictly definable as scientific misconduct as the deliberate falsification of results is not present. However, in such cases the intent may nevertheless be to deliberately deceive. Studies may be suppressed or remain unpublished because the findings are perceived to undermine the commercial, political or other interests of the sponsoring agent or because they fail to support the ideological goals of the researcher. Examples include the failure to publish studies if they demonstrate the harm of a new drug, or truthfully publishing the benefits of a treatment while omitting harmful side-effects.

This is distinguishable from other concepts such as bad science, junk science or pseudoscience where the criticism centres on the methodology or underlying assumptions. It may be possible in some cases to use statistical methods to show that the datasets offered in relation to a given field are incomplete. However this may simply reflect the existence of real-world restrictions on researchers without justifying more sinister conclusions.

Some cases go beyond the failure to publish complete reports of all findings with researchers knowingly making false claims based on falsified data. This falls clearly under the definition of scientific misconduct, even if the result was achieved by suppressing data. In the case of Raphael B. Stricker, M.D., for instance, the U.S. Office of Research Integrity has found the removal of samples from a data set in order to reach a desired conclusion to be grounds for disbarment from funding.