ArticleNeuroImage2013
Why share data? Lessons learned from the fMRIDC.
Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses 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
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Drivers of resting-state fMRI heterogeneity in traumatic brain injury across injury characteristics and imaging methods: a systematic review and semiquantitative analysis.Frontiers in neurology · 2024Pooled it
- Meta-connectomics: human brain network and connectivity meta-analyses.Psychological medicine · 2016Pooled it
- Replication of Resting State-Task Network Correspondence and Novel Findings on Brain Network Activation During Task fMRI in the Human Connectome Project Study.Scientific reports · 2018Trial
- The past, present, and future of the brain imaging data structure (BIDS).Imaging neuroscience (Cambridge, Mass.) · 2024Review
- Article
- Editorial: What the New White House Rules on Equitable Access Mean for the Neurosciences.Neuroinformatics · 2023Article
- The spectrum of data sharing policies in neuroimaging data repositories.Human brain mapping · 2022Review
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- New acquisition techniques and their prospects for the achievable resolution of fMRI.Progress in neurobiology · 2021Review
- Article
- Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach.Frontiers in neuroinformatics · 2021Article
- Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines.Journal of the Association for Information Science and Technology · 2019Review
- From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research.Frontiers in neuroinformatics · 2019Review
- Data sharing and the future of science.Nature communications · 2018Article
- Assessment of the impact of shared brain imaging data on the scientific literature.Nature communications · 2018Article
- Resting-state functional brain connectivity best predicts the personality dimension of openness to experience.Personality neuroscience · 2018Article
- Data management and sharing in neuroimaging: Practices and perceptions of MRI researchers.PloS one · 2018Article
- Progress toward openness, transparency, and reproducibility in cognitive neuroscience.Annals of the New York Academy of Sciences · 2017Review
- Can data repositories help find effective treatments for complex diseases?Progress in neurobiology · 2017Review
- Advances in Studying Brain Morphology: The Benefits of Open-Access Data.Frontiers in human neuroscience · 2017Article
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
Abstract
Neuroimaging and the discipline of cognitive neuroscience have grown together in lock-step with each pushing the other toward an improved ability to explore and examine brain function and form. However successful neuroimaging and the examination of cognitive processes may seem today, the culture of data sharing in these fields remains underdeveloped. In this article, we discuss our own experience in the development of the fMRI Data Center (fMRIDC) - a large-scale effort to gather, curate, and openly share the complete data sets from published research articles of brain activation studies using fMRI. We outline the fMRIDC effort's beginnings, how it operated, note some of the sociological reactions we received, and provide several examples of prominent new studies performed using data drawn from the archive. Finally, we provide comment on what considerations are needed for successful neuroimaging databasing and data sharing as existing and emerging efforts take the next steps in archiving and disseminating the field's valuable and irreplaceable data.
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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.