ReviewNature neuroscience2014
Big data from small data: data-sharing in the 'long tail' of neuroscience.
Review in Nature neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 3 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
105 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.Translational psychiatry · 2020Pooled it
- Outcome heterogeneity and bias in acute experimental spinal cord injury: A meta-analysis.Neurology · 2019Pooled it
- Pre-Clinical Testing of Therapies for Traumatic Brain Injury.Journal of neurotrauma · 2018Guideline
- Open neuroinformatics infrastructure ecosystem for federated multisite studies.bioRxiv : the preprint server for biology · 2026Article
- Artificial intelligence-generated synthetic data for cancer research and clinical trials.Nature reviews. Cancer · 2026Review
- Enhancing Chest X-ray Diagnosis with a Multimodal Deep Learning Network by Integrating Clinical History to Refine Attention.Journal of imaging informatics in medicine · 2025Article
- Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond.Scientific data · 2025Article
- Revisiting the critical roles of reactive microglia in traumatic brain injury.International journal of surgery (London, England) · 2025Review
- Disuse plasticity limits spinal cord injury recovery.iScience · 2025Article
- Taking steps toward open data in motor control, learning, and development.Journal of motor learning and development · 2025Article
- Article
- Data reporting quality and semantic interoperability increase with community-based data elements (CoDEs). Analysis of the open data commons for spinal cord injury (ODC-SCI).Experimental neurology · 2025Article
- Unlocking the potential of PubMed Central supplementary data files.Bioinformatics advances · 2025Article
- How will developmental neuroimaging contribute to the prediction of neurodevelopmental or psychiatric disorders? Challenges and opportunities.Developmental cognitive neuroscience · 2025Article
- Principles of intensive human neuroimaging.Trends in neurosciences · 2024Article
- Small data methods in omics: the power of one.Nature methods · 2024Review
- Article
- ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms.Scientific data · 2024Article
- Hippocampome.org v2.0: a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits.bioRxiv : the preprint server for biology · 2024Article
- Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation.Frontiers in neuroinformatics · 2024Article
45 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The launch of the US BRAIN and European Human Brain Projects coincides with growing international efforts toward transparency and increased access to publicly funded research in the neurosciences. The need for data-sharing standards and neuroinformatics infrastructure is more pressing than ever. However, 'big science' efforts are not the only drivers of data-sharing needs, as neuroscientists across the full spectrum of research grapple with the overwhelming volume of data being generated daily and a scientific environment that is increasingly focused on collaboration. In this commentary, we consider the issue of sharing of the richly diverse and heterogeneous small data sets produced by individual neuroscientists, so-called long-tail data. We consider the utility of these data, the diversity of repositories and options available for sharing such data, and emerging best practices. We provide use cases in which aggregating and mining diverse long-tail data convert numerous small data sources into big data for improved knowledge about neuroscience-related disorders.
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.