ArticlePloS one2018
Data management and sharing in neuroimaging: Practices and perceptions of MRI researchers.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- No reliable gray matter changes in essential tremor.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Pooled it
- IntegriLAB: a blockchain-enabled electronic lab notebook for reproducible neuroimaging research.Frontiers in neuroinformatics · 2026Article
- Tier-based standards for FAIR sequence data and metadata sharing in microbiome research.Nucleic acids research · 2025Article
- Beliefs about social dynamics and open science.Royal Society open science · 2025Article
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- Opening the black box of article retractions: exploring the causes and consequences of data management errors.Royal Society open science · 2024Article
- The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities.eLife · 2024Article
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- Conducting Research with Highly Portable MRI in Community Settings: A Practical Guide to Navigating Ethical Issues and ELSI Checklist.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2024Article
- How to establish and maintain a multimodal animal research dataset using DataLad.Scientific data · 2023Article
- Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions.Frontiers in aging neuroscience · 2023Review
- Inter-rater reliability of functional MRI data quality control assessments: A standardised protocol and practical guide using pyfMRIqc.Frontiers in neuroscience · 2023Article
- The classification of brain network for major depressive disorder patients based on deep graph convolutional neural network.Frontiers in human neuroscience · 2023Article
- Review
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- A System to Easily Manage Metadata in Biomedical Research Labs Based on Open-source Software.Bio-protocol · 2022Article
- Article
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- The Open-Access European Prevention of Alzheimer's Dementia (EPAD) MRI dataset and processing workflow.NeuroImage. Clinical · 2022Article
- Perceptions and Opinions Towards Data-Sharing: A Survey of Addiction Journal Editorial Board Members.The journal of scientific practice and integrity · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroimaging methods such as magnetic resonance imaging (MRI) involve complex data collection and analysis protocols, which necessitate the establishment of good research data management (RDM). Despite efforts within the field to address issues related to rigor and reproducibility, information about the RDM-related practices and perceptions of neuroimaging researchers remains largely anecdotal. To inform such efforts, we conducted an online survey of active MRI researchers that covered a range of RDM-related topics. Survey questions addressed the type(s) of data collected, tools used for data storage, organization, and analysis, and the degree to which practices are defined and standardized within a research group. Our results demonstrate that neuroimaging data is acquired in multifarious forms, transformed and analyzed using a wide variety of software tools, and that RDM practices and perceptions vary considerably both within and between research groups, with trainees reporting less consistency than faculty. Ratings of the maturity of RDM practices from ad-hoc to refined were relatively high during the data collection and analysis phases of a project and significantly lower during the data sharing phase. Perceptions of emerging practices including open access publishing and preregistration were largely positive, but demonstrated little adoption into current practice.
Indexed as
Identifiers
What OpenQuestion holds
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.