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ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.

Overview

Authors: Angela R Laird1, Jessica E Bartley1, Julio A Peraza1, Jean-Baptiste Poline2, Satrajit S Ghosh3, David N Kennedy4
ORCID iDs: Angela R Laird
  1. Department of Physics, Florida International University, Miami, FL, USA
  2. McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, QC, Canada
  3. McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
  4. Departments of Psychiatry and Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
Journal: Developmental cognitive neuroscience, volume 80, article 101755
Dates: received 1 December 2025; accepted 4 June 2026; published online 5 June 2026; in print August 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.dcn.2026.101755 · PMID 42269336 · PMCID PMC13273906 · OpenAlex W7163642909
Open access: gold, a free copy (OpenAlex)
Status: code verified (how the code is found and verified)
Categories: human (organism), developmental (subfield)
Methods: Statistics
Keywords: ABCD, ABCD-ReproNim, ReproNim, Research educational course, Hackathon
MeSH: Adolescent Development*, Brain*, Cognition*, Neuroimaging*, Adolescent, Curriculum, Humans, Reproducibility of Results (* major topic)
Topic: Research Data Management Practices (Information Systems, Computer Science), according to OpenAlex
Funding: National Institute of Biomedical Imaging and Bioengineering (P41-EB019936); National Institute on Drug Abuse (U01-DA041156, R25-DA061824, R25-DA051675); National Institutes of Health
Citations: cited by 1 paper (Europe PMC); 42 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

ABCD-ReproNim

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: the text, “Cohorts”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

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Code and data availability statement

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Read it in the paper: doi.org/10.1016/j.dcn.2026.101755.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 6 authors, 5 keywords, 8 MeSH terms, 3 funders, 37 references.

Cite

This paper

Laird, A. R., Bartley, J. E., Peraza, J. A., Poline, J.-B., Ghosh, S. S., & Kennedy, D. N. (2026). ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data. Developmental cognitive neuroscience, 80, 101755. https://doi.org/10.1016/j.dcn.2026.101755

BibTeX

@article{laird2026abcd,
author = {Laird, Angela R and Bartley, Jessica E and Peraza, Julio A and Poline, Jean-Baptiste and Ghosh, Satrajit S and Kennedy, David N},
title = {{ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data}},
journal = {Developmental cognitive neuroscience},
year = {2026},
month = jun,
volume = {80},
pages = {101755},
publisher = {Elsevier},
issn = {1878-9293},
doi = {10.1016/j.dcn.2026.101755},
url = {https://doi.org/10.1016/j.dcn.2026.101755},
pmid = {42269336},
pmcid = {PMC13273906}
}

RIS

TY - JOUR
AU - Laird, Angela R
AU - Bartley, Jessica E
AU - Peraza, Julio A
AU - Poline, Jean-Baptiste
AU - Ghosh, Satrajit S
AU - Kennedy, David N
TI - ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data
T2 - Developmental cognitive neuroscience
J2 - Dev Cogn Neurosci
PY - 2026
DA - 2026/06/05
VL - 80
SP - 101755
SN - 1878-9293
PB - Elsevier
DO - 10.1016/j.dcn.2026.101755
UR - https://doi.org/10.1016/j.dcn.2026.101755
LA - en
ER -

CSL-JSON

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