Improving Experimental Rigor and Enhancing Data Reproducibility in Neuroscience

Webinar Details

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The topics of scientific rigor and data reproducibility have been increasingly covered in the scientific and mainstream media, and are being addressed by publishers, professional organizations, and funding agencies, including NIH. This webinar — the first in a series titled Promoting Awareness and Knowledge to Enhance Scientific Rigor in Neuroscience — will address topics of scientific rigor as they pertain to pre-clinical neuroscience research.

Webinar attendees will leave the session with:
  • A better understanding of the issues surrounding scientific rigor and the lack of data reproducibility in basic neuroscience research
  • Example best practices for designing pre-clinical experiments and planning for data collection
  • An overview of the new grant sections required by the NIH to address issues of experimental rigor and data reproducibility

This training module is supported by Grant Number 1R25DA041326-01 from the National Institute on Drug Abuse (NIDA). The original contents of this module are solely the responsibility of SfN and do not necessarily reflect the official views of NIDA. 

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Supporting Materials

Pre-webinar Information

Before the webinar gets started, read these articles chosen by the moderator for useful background knowledge:

 

Post-webinar Information

Get the most out of this webinar by downloading these discussion questions to use with your students or peers.

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    Speakers

    Oswald Steward, PhD
    Oswald Steward, PhD
    Oswald Steward is a senior associate dean for research, professor of neurobiology and behavior, and director of the Reeve-Irvine Research Center at the University of California, Irvine School of Medicine. His research focuses on how neurons establish, maintain, and modify their synaptic connections, with an emphasis on the cellular and molecular processes that contribute to repair after central nervous system injuries. Steward has also been committed to the area of enhancing scientific rigor and reproducibility in neuroscience research. He has authored several publications that identify problems with replication and reproducibility and outline best practices for pre-clinical neuroscience research, and previously served as the co-chair of SfN’s Scientific Rigor Working Group. He received his PhD in neuroscience from University of California, Irvine.
    Katherine Button
    Katherine Button, PhD
    Katherine Button is a lecturer in the department of psychology at the University of Bath. Her research focuses on the cognitive mechanisms that contribute to common mental health disorders such as anxiety and depression, and translating this to improve cognitive-based intervention for patients in primary care. In addition to her primary research, Button is an advocate for improving the transparency and rigor of psychological and neuroscience research. She uses meta-analytic techniques to explore systematic weakness in the evidence-base, and draw on best-practice across disciplines for solutions.

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