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Creating diverse and inclusive scientific practices for research datasets and dissemination

  • Julia W.Y. Kam*
  • , Aman Preet Badhwar*
  • , Valentina Borghesani
  • , Kangjoo Lee
  • , Stephanie Noble
  • , Pradeep Reddy Raamana
  • , J. Tilak Ratnanather
  • , Davynn G.H. Tan
  • , Lena K.L. Oestreich
  • , Hyang Woon Lee
  • , Laura Marzetti
  • , Hajer Nakua
  • , Gina Rippon
  • , Rosanna Olsen
  • , Alyssa Pozzobon
  • , Lucina Q. Uddin
  • , Julio Alejandro Yanes
  • , Athina Tzovara
  • *Corresponding author for this work
  • Université de Montréal
  • Université de Genève
  • Yale University
  • Northeastern University
  • University of Pittsburgh
  • Johns Hopkins University
  • Hong Kong Polytechnic University
  • University of Queensland
  • Ewha Womans University School of Medicine
  • Ewha Womans University
  • G. d'Annunzio University
  • Centre for Addiction and Mental Health
  • Rotman Research Institute
  • University of Toronto
  • University of Ottawa
  • David Geffen School of Medicine at UCLA
  • National Institutes of Health, Bethesda
  • University of Bern
  • Bern University Hospital

Research output: Contribution to journalArticlepeer-review

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Abstract

Diversity, equity, and inclusivity (DEI) are important for scientific innovation and progress. This widespread recognition has resulted in numerous initiatives for enhancing DEI in recent years. Although progress has been made to address gender and racial disparities, there remain biases that limit the opportunities for historically under-represented researchers to succeed in academia. As members of the Organization for Human Brain Mapping (OHBM) Diversity and Inclusivity Committee (DIC), we identified the most challenging and imminent obstacles toward improving DEI practices in the broader neuroimaging field. These obstacles include the lack of diversity in and accessibility to publicly available datasets, barriers in research dissemination, and/or barriers related to equitable career advancements. In order to increase diversity and promote equity and inclusivity in our scientific endeavors, we suggest potential solutions that are practical and actionable to overcome these barriers. We emphasize the importance of the enduring and unwavering commitment required to advance DEI initiatives consistently. By doing so, the OHBM and perhaps other neuroscience communities will strive toward a future that is not only marked by scientific excellence but also characterized by diverse, inclusive, and equitable opportunities for all, including historically under-represented individuals around the world.

Original languageEnglish
Number of pages14
JournalImaging Neuroscience
Volume2
Early online date18 Jun 2024
DOIs
Publication statusPublished - 12 Jul 2024

Bibliographical note

Copyright © 2024 The Authors. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Data Access Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Funding

Tilak Ratnanather was supported by training grants from NIH (1R25DC020698-01A1 and 5R25NS107167).

Keywords

  • artificial intelligence
  • diversity
  • equity
  • inclusivity
  • OHBM
  • research barriers

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