A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility
-
Published:2021-01-27
Issue:
Volume:
Page:
-
ISSN:1539-2791
-
Container-title:Neuroinformatics
-
language:en
-
Short-container-title:Neuroinform
Author:
Abrams Mathew BirdsallORCID, Bjaalie Jan G.ORCID, Das SamirORCID, Egan Gary F.ORCID, Ghosh Satrajit S.ORCID, Goscinski Wojtek J.ORCID, Grethe Jeffrey S.ORCID, Kotaleski Jeanette HellgrenORCID, Ho Eric Tatt WeiORCID, Kennedy David N.ORCID, Lanyon Linda J.ORCID, Leergaard Trygve B.ORCID, Mayberg Helen S.ORCID, Milanesi LucianoORCID, Mouček RomanORCID, Poline J. B.ORCID, Roy Prasun K.ORCID, Strother Stephen C.ORCID, Tang Tong BoonORCID, Tiesinga PaulORCID, Wachtler ThomasORCID, Wójcik Daniel K.ORCID, Martone Maryann E.ORCID
Abstract
AbstractThere 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.
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,General Neuroscience,Software
Reference33 articles.
1. Bug, W. J., Ascoli, G. A., Grethe, J. S., Gupta, A., Fennema-Notestine, C., Laird, A. R., Larson, S. D., et al. (2008). The NIFSTD and BIRNLex vocabularies: Building comprehensive ontologies for neuroscience. Neuroinformatics, 6(3), 175–194. 2. Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013). Power failure: why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14(5), 365–376. 3. Cannon, R. C., Gleeson, P., Crook, S., Ganapathy, G., Marin, B., Piasini, E., & Angus Silver, R. (2014). LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2. Frontiers in Neuroinformatics, 8(September), 79. 4. Cox, R. W., Ashburner, J., Breman, H., Fissell, K., Haselgrove, C., Holmes, C. J., Lancaster, J. L., et al. (2004). A (sort of) new image data format standard: Nifti-1: We 150. NeuroImage, e1440, 22. 5. Ercole, A., Brinck, V., George, P., Hicks, R., Huijben, J., Jarrett, M., Vassar, M., Wilson, L., & the DAQCORD Collaborators. (2020). Guidelines for data acquisition, quality and Curation for observational research designs (DAQCORD). Journal of Clinical and Translational Science, 4(4), 354–359. https://doi.org/10.1017/cts.2020.24.
Cited by
33 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|