Best Negative Data Prize in Preclinical Neuroscience

The award was founded to raise awareness about the importance of publishing well-conducted studies, regardless of the outcome. By encouraging the publication of negative data, it aims to forestall the loss of scientific knowledge and the unnecessary duplication of research efforts and the potential loss of time and money that might result, and to advance scientific integrity and increase public trust in research. 

Applications should be submitted by the first or corresponding author of a publication that:

• Was written in English and was published or is accepted for publication in a peer-reviewed journal that is currently listed by Web of Science and Scopus
• Has a date of publication that is not older than 1 January 2020
• Reports results of a non-clinical study (or set of studies)
• Is not a review
• Is a full-length paper with detailed materials and methods section(s) (within the body of the paper or as supplementary information)

It is expected that the authors of nominated papers are confident that technical failures are not the reason for obtaining results. Further, the authors of the nominated papers should be willing to share raw data with third parties (if requested and not part of the publication).

Corresponding authors may nominate their papers by sending the PDF of the paper via e-mail. Please include an accompanying letter indicating why you think the paper merits the award.

The award is biennial. A call is opened and submissions evaluated by the review committee, and a winner announced.  The public presentation of the award will take place during the ECNP Congress. Travel and accommodation expenses will be covered by the ECNP.

For more information, please contact the ECNP Office via e-mail.

The award is conferred at the ECNP Congress.