Evidence map›Paper›PMID 36759619›Full record

ArticleScientific data2023

Data Archive for the BRAIN Initiative (DABI).

Dominique Duncan, Rachael Garner, Sarah Brinkerhoff, Harrison C Walker, Nader Pouratian, Arthur W Toga

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Neurodatascience: Past, Present, and Future.Data science in science · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. B(RAIN)Scientific data · 2025
    Article
  14. FAIR African brain data: challenges and opportunities.Frontiers in neuroinformatics · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Dominique DuncanLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA. duncand@usc.edu.ORCID 0000-0002-6154-9262
Rachael GarnerLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Sarah BrinkerhoffDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Harrison C WalkerDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Nader PouratianDepartment of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
Arthur W TogaLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
University of Southern California · USUniversity of Alabama at Birmingham · USSouthwestern Medical Center · US

Funding

Data Archive for the Brain Initiative (DABI)R24MH114796 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DUNCAN, DOMINIQUE, POURATIAN, NADER · 2018 to 2023
$6.2M
Biophysical Characterization of Subthalamic Local Field Potentials in Parkinson's DiseaseR01NS119520 · NINDS · DUKE UNIVERSITY · PI MCINTYRE, CAMERON · 2021 to 2024
$1.9M
NIMH NIH HHS R24 MH114796NINDS NIH HHS R01 NS119520
6 · The paper itself

Abstract

Data sharing is becoming ubiquitous and can be advantageous for most biomedical research. However, some data are inherently more amenable to sharing than others. For example, human intracranial neurophysiology recordings and associated multimodal data have unique features that warrant special considerations. The associated data are heterogeneous, difficult to compare, highly specific, and collected from small cohorts with treatment resistant conditions, posing additional complications when attempting to perform generalizable analyses across projects. We present the Data Archive for the BRAIN Initiative (DABI) and describe features of the platform that are designed to overcome these and other challenges. DABI is a data repository and portal for BRAIN Initiative projects that collect human and animal intracranial recordings, and it allows users to search, visualize, and analyze multimodal data from these projects. The data providers maintain full control of data sharing privileges and can organize and manage their data with a user-friendly and intuitive interface. We discuss data privacy and security concerns, example analyses from two DABI datasets, and future goals for DABI.

Identifiers

PMID36759619
PMCPMC9911697
OpenAlexW4319786374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.