Evidence map›Paper›PMID 36580464›Full record

SynthesisPloS one2022

The ethical and legal landscape of brain data governance.

Paschal Ochang, Bernd Carsten Stahl, Damian Eke

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07173842 (Establishment of the NeuroPsyBiT-BD Omics Program), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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.

NCT07173842 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Establishment of the NeuroPsyBiT-BD Omics Program: Development of a Turkish Bipolar Disorder Biobank Integrating Genomic and Epigenomic Profiling With Structured Clinical Phenotyping and Secure Data Infrastructure

Typeobservational_patient_registrySponsorSelçuk State HospitalRan2025 to 2027Enrolled1,000ConditionsBipolar DisorderArmsBiobanking and Phenotypic Data Collection
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors.

Paschal OchangCentre for Computing and Social Responsibility, De Montfort University, Leicester, United Kingdom.ORCID 0000-0002-4853-6547
Bernd Carsten StahlCentre for Computing and Social Responsibility, De Montfort University, Leicester, United Kingdom.ORCID 0000-0002-4058-4456
Damian EkeCentre for Computing and Social Responsibility, De Montfort University, Leicester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroscience research is producing big brain data which informs both advancements in neuroscience research and drives the development of advanced datasets to provide advanced medical solutions. These brain data are produced under different jurisdictions in different formats and are governed under different regulations. The governance of data has become essential and critical resulting in the development of various governance structures to ensure that the quality, availability, findability, accessibility, usability, and utility of data is maintained. Furthermore, data governance is influenced by various ethical and legal principles. However, it is still not clear what ethical and legal principles should be used as a standard or baseline when managing brain data due to varying practices and evolving concepts. Therefore, this study asks what ethical and legal principles shape the current brain data governance landscape? A systematic scoping review and thematic analysis of articles focused on biomedical, neuro and brain data governance was carried out to identify the ethical and legal principles which shape the current brain data governance landscape. The results revealed that there is currently a large variation of how the principles are presented and discussions around the terms are very multidimensional. Some of the principles are still at their infancy and are barely visible. A range of principles emerged during the thematic analysis providing a potential list of principles which can provide a more comprehensive framework for brain data governance and a conceptual expansion of neuroethics.

Indexed as

NeurologyNeurosciencesBig DataBrain

Identifiers

PMID36580464
PMCPMC9799320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.