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Title: Creating diverse and inclusive scientific practices for research datasets and dissemination
Authors: Kam, JWY
Badhwar, A
Borghesani, V
Lee, K
Noble, S
Raamana, PR
Ratnanather, T
Tan, DGH 
Oestreich, LKL
Lee, HW
Marzetti, L
Nakua, H
Rippon, G
Olsen, R
Pozzobon, A
Uddin, LQ
Yanes, JA
Tzovara, A
Issue Date: 2024
Source: Imaging neuroscience, 2024, v. 2, https://doi.org/10.1162/imag_a_00216
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 underrepresented 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 towards 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 towards a future that is not only marked by scientific excellence but also characterized by diverse, inclusive and equitable opportunities for all, including historically underrepresented individuals around the world.
Keywords: Diversity
Equity
Inclusivity
Artificial intelligence
Research barriers
OHBM
Publisher: MIT Press
Journal: Imaging neuroscience 
EISSN: 2837-6056
DOI: 10.1162/imag_a_00216
Rights: © 2024 The Authors. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
The following publication Julia W.Y. Kam, AmanPreet 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; Creating diverse and inclusive scientific practices for research datasets and dissemination. Imaging Neuroscience 2024; 2 1–14 is available at https://doi.org/10.1162/imag_a_00216.
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