Neuroscience Data Formats, Models, Repositories and Analytics: A Review


  • Sze Wei Fong Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia Health Campus, 16150 Kubang Kerian, Kelantan
  • Nurfaten Hamzah Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia Health Campus, 16150 Kubang Kerian, Kelantan
  • Nurul Hashimah Ahamed Hassain Malim Brain and Behaviour Cluster, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
  • Jafri Malin Abdullah Brain and Behaviour Cluster, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia



Neuroscience, Data model , Data format, Data repository, Data analytic


As neurotechnologies have gotten better, a lot of neuroscientific research has been done using these new technologies. Even though labs all over the world produce a lot of neuro-data, most of this data has not been shared to help people from different fields understand neuroscience. The neuro-data sharing is essential because it accelerates the pace of discovery in neuroscience. Effective data sharing will depend on the standardized use of file or data formats, highly reusable data analytics tools, and data storage formats. In this review paper, we review the four domains (data format, data model, data repository, and data analytics) that are currently in use in the neuroscience community. In the end, we are discussing several challenges associated with data sharing.



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How to Cite

S. W. Fong, N. Hamzah, N. H. Ahamed Hassain Malim, and J. M. Abdullah, “Neuroscience Data Formats, Models, Repositories and Analytics: A Review”, Malaysian J. Sci. Adv. Tech., vol. 3, no. 3, pp. 141–149, Jul. 2023.