NEMAR Dataset Citations Analysis
The NeuroElectroMagnetic Data Archive and Tools Resource (NEMAR) is an integrated data, tools, and compute resource that serves as a gateway to human neuroelectromagnetic data (EEG, MEG, iEEG) shared through OpenNeuro. By providing seamless access to high-quality datasets alongside high-performance computing resources, NEMAR enables researchers to discover, assess, and process neurophysiological data without the burden of large downloads.
This dashboard analyzes citation patterns within the NEMAR ecosystem to reveal how open data sharing drives scientific collaboration and research impact in human neuroscience.
What You’ll Find
Citation Network Analysis - Discover how datasets are co-cited and identify research clusters within the neuroscience community.
Temporal Trends - Track the evolution of research themes and citation growth over time.
Research Impact Assessment - Identify which datasets generate the most influential research outcomes.
Collaboration Patterns - Understand how NEMAR facilitates interdisciplinary research and cross-institutional partnerships.
About NEMAR’s Impact
NEMAR addresses a critical challenge in neuroscience: ensuring that valuable neuroelectromagnetic data, collected at considerable expense and effort, remains accessible and useful to the broader research community. By combining data discovery tools, quality assessment features, and direct integration with high-performance computing resources through the Neuroscience Gateway, NEMAR exemplifies how integrated data-tools-compute resources (DATCORs) can accelerate scientific discovery.
The citation analysis below demonstrates the real-world impact of this open science approach on human neuroscience research.
Technical Note: This analysis uses network analysis and natural language processing to examine citation patterns across research publications utilizing NEMAR datasets. All visualizations are interactive—explore the data to uncover insights about open neuroscience collaboration.