ArticleNeuroImage2016
COINS Data Exchange: An open platform for compiling, curating, and disseminating neuroimaging data.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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.
- Using Propensity Score Matching to Control for MRI Scan Quality.bioRxiv : the preprint server for biology · 2025Article
- Open-source platforms to investigate analytical flexibility in neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles.Schizophrenia (Heidelberg, Germany) · 2024Article
- Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine.Journal of translational medicine · 2024Review
- PET2BIDS: a library for converting Positron Emission Tomography data to BIDS.Journal of open source software · 2024Article
- Efficient federated learning for distributed neuroimaging data.Frontiers in neuroinformatics · 2024Article
- CHIASM-Net: Artificial Intelligence-Based Direct Identification of Chiasmal Abnormalities in Albinism.Investigative ophthalmology & visual science · 2023Article
- Association of Intrinsic Functional Connectivity between the Locus Coeruleus and Salience Network with Attentional Ability.Journal of cognitive neuroscience · 2023Article
- Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023Article
- Structural impairment in superficial and deep white matter in schizophrenia.Acta neuropsychiatrica · 2023Article
- A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke.Scientific data · 2023Article
- The Impact of the COVID-19 Pandemic on Mental Health and Substance Use among People with and without HIV.Pathogens (Basel, Switzerland) · 2023Article
- Morphometric Integrated Classification Index: A Multisite Model-Based, Interpretable, Shareable and Evolvable Biomarker for Schizophrenia.Schizophrenia bulletin · 2022Article
- Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets.NeuroImage · 2022Article
- A longitudinal resource for studying connectome development and its psychiatric associations during childhood.Scientific data · 2022Article
- Article
- Federated Analysis of Neuroimaging Data: A Review of the Field.Neuroinformatics · 2022Review
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- A Decentralized ComBat Algorithm and Applications to Functional Network Connectivity.Frontiers in neurology · 2022Article
- Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed.Human brain mapping · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Neuroimaging data collection is inherently expensive. Maximizing the return on investment in neuroimaging studies requires that neuroimaging data be re-used whenever possible. In an effort to further scientific knowledge, the COINS Data Exchange (DX) (http://coins.mrn.org/dx) aims to make data sharing seamless and commonplace. DX takes a three-pronged approach towards improving the overall state of data sharing within the neuroscience community. The first prong is compiling data into one location that has been collected from all over the world in many different formats. The second prong is curating the data so that it can be stored in one consistent format and so that data QA/QC measures can be assured. The third prong is disseminating the data so that it is easy to consume and straightforward to interpret. This paper explains the concepts behind each prong and describes some challenges and successes that the Data Exchange has experienced.
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.