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Post published on Bluesky on 20 Oct 2024 10:53

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"With increasing availability of large, multidimensional datasets, researchers bear additional responsibility for ethical measure development, data use, analysis, interpretation, and communication of findings" www.sciencedirect.com/science/arti... editorial, autism-relevant, free

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Sandra A. Brown, Hugh Garavan, Terry L. Jernigan, Susan F. Tapert, Rebekah S. Huber, Daniel Lopez, Traci Murray, Gayathri Dowling, et al. (2025). Responsible use of population neuroscience data: Towards standards of accountability and integrity. Developmental Cognitive Neuroscience, 72, 101466. Elsevier BV.

Publication date
April 2025
Identifier
10.1016/j.dcn.2024.101466
Authors
Sandra A. Brown, Hugh Garavan, Terry L. Jernigan, Susan F. Tapert, Rebekah S. Huber, Daniel Lopez, Traci Murray, Gayathri Dowling, Elizabeth A. Hoffman, Lucina Q. Uddin
Source
Developmental Cognitive Neuroscience
Details
72, 101466
Reference type
article
Publisher
Elsevier BV
Metadata source
crossref

Abstract

This editorial focuses on the issue of data misuse which is increasingly evidenced in social media as well as some premiere scientific journals. This issue is of critical importance to open science projects in general, and ABCD in particular, given the broad array of biological, behavioral and environmental information collected on this American sample of 12.000 youth and parents. ABCD data are already widely used with over 1000 publications and twice as many citations per year as expected (relative citation index based on year, field and journal). However, the adverse consequences of misuse of data, and inaccurate interpretation of emergent findings from this precedent setting study may have profound impact on disadvantaged populations and perpetuate biases and societal injustices.

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