A Standards Organization for Open and FAIR Neuroscience the International Neuroinformatics Coordinating Facility

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dc.contributor.author Das, Samir
dc.contributor.author Birdsall Abrams, Mathew
dc.contributor.author F. Egan, Gary
dc.contributor.author S. Ghosh, Satrajit
dc.contributor.author J. Goscinski, Wojtek
dc.contributor.author S. Grethe, Jeffrey
dc.contributor.author Hellgren Kotaleski, Jeanette
dc.contributor.author Tatt Wei Ho, Eric
dc.contributor.author N. Kennedy, David
dc.contributor.author J. Lanyon, Linda
dc.contributor.author B. Leergaard, Trygve
dc.contributor.author S. Mayberg, Helen
dc.contributor.author Milanesi, Luciano
dc.contributor.author Mouček, Roman
dc.contributor.author Poline, J. B.
dc.contributor.author K. Roy, Prasun
dc.contributor.author C. Strother, Stephen
dc.contributor.author Tang, Tong Boon
dc.contributor.author Tiesinga, Paul
dc.contributor.author Wachtler, Thomas
dc.contributor.author K. Wójcik, Daniel
dc.contributor.author E. Martone, Maryann
dc.contributor.author Bjaalie, Jan G.
dc.date.accessioned 2023-04-17T07:18:36Z
dc.date.available 2023-04-17T07:18:36Z
dc.date.issued 2022-01
dc.identifier.issn 15392791
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/2033
dc.description This paper is submitted by the author of IIT (BHU), Varanasi en_US
dc.description.abstract There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge stores of neuroscience data.At the same time, neuroscience, like many domains in biomedicine, is confronting the issues of transparency, rigor, and reproducibility. Widely used, validated standards and best practices are key to addressing the challenges in both big and small data science, as they are essential for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. However, developing community standards and gaining their adoption is difficult. The current landscape is characterized both by a lack of robust, validated standards and a plethora of overlapping,underdeveloped, untested and underutilized standards and best practices. The International Neuroinformatics Coordinating Facility (INCF), an independent organization dedicated to promoting data sharing through the coordination of infrastructure and standards, has recently implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. By formally serving as a standards organization dedicated to open and FAIR neuroscience, INCF helps evaluate, promulgate, and coordinate standards and best practices across neuroscience. Here, we provide an overview of the process and discuss how neuroscience can benefit from having a dedicated standards body. en_US
dc.description.sponsorship Computational Neuroscience & Neuroimaging Laboratory, School of Bio-Medical Engineering, Indian Institute of Technology (BHU), UP, Varanasi, India en_US
dc.language.iso en_US en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Neuroinformatics;Volume 20, Issue 1, Pages 37 - 38
dc.subject Neuroscience en_US
dc.subject Neuroinformatics en_US
dc.subject Standards Organization for Open and FAIR Neuroscience en_US
dc.subject International Neuroinformatics en_US
dc.subject Neuroinformatics Coordinating Facility en_US
dc.title A Standards Organization for Open and FAIR Neuroscience the International Neuroinformatics Coordinating Facility en_US
dc.type Article en_US


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