Affiliations 

  • 1 INCF Secretariat, Karolinska Institutet, Stockholm, Sweden. mathew@incf.org
  • 2 Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
  • 3 McGill Centre for Integrative Neuroscience, McGill University, Montreal, QC, Canada
  • 4 Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia
  • 5 McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
  • 6 Monash eResearch Centre, Monash University, Melbourne, VIC, Australia
  • 7 Department of Neuroscience, School of Medicine, University of California, San Diego, La Jolla, CA, USA
  • 8 KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
  • 9 Centre for Intelligent Signal and Imaging Research, Institute of Health and Analytics, Universiti Teknologi PETRONAS, Perak, Malaysia
  • 10 Department of Psychiatry, University of Massachusetts Medical School, Worchester, MA, USA
  • 11 Serendipitea.World, Hasselby, Sweden
  • 12 Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine, New York, NY, USA
  • 13 Institute of Biomedical Technologies, National Research Council (CNR), Milan, Italy
  • 14 Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Pilsen, Czech Republic
  • 15 Montreal Neurological Institute, Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada
  • 16 Computational Neuroscience & Neuroimaging Laboratory, School of Bio-Medical Engineering, Indian Institute of Technology (BHU), Varanasi, UP, India
  • 17 Rotman Research Institute, Baycrest Centre, Department of Medical Biophysics, University of Toronto, Ontario, ON, Canada
  • 18 Centre for Intelligent Signal and Imaging Research, Institute of Health and Analytics, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Malaysia
  • 19 Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
  • 20 Department of Biology II, Ludwig-Maximilians-Universität München, Martinsried, Planegg, Germany
  • 21 Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
Neuroinformatics, 2022 Jan;20(1):25-36.
PMID: 33506383 DOI: 10.1007/s12021-020-09509-0

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.