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Italian, European, and international neuroinformatics efforts: An overview.

  • Redolfi, Alberto1
  • Archetti, Damiano1
  • De Francesco, Silvia1
  • Crema, Claudio1
  • Tagliavini, Fabrizio2
  • Lodi, Raffaele3, 4
  • Ghidoni, Roberta5
  • Gandini Wheeler-Kingshott, Claudia A M6, 7, 8
  • Alexander, Daniel C9, 10
  • D'Angelo, Egidio7, 8
  • 1 Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. , (Italy)
  • 2 Scientific Directorate, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. , (Italy)
  • 3 Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy. , (Italy)
  • 4 Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy. , (Italy)
  • 5 Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. , (Italy)
  • 6 NMR Research Unit, Queen Square MS Center, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.
  • 7 Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. , (Italy)
  • 8 Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy. , (Italy)
  • 9 Centre for Medical Image Computing, University College London, London, UK.
  • 10 Department of Computer Science, University College London, London, UK.
Published Article
European Journal of Neuroscience
Wiley (Blackwell Publishing)
Publication Date
Jun 01, 2023
DOI: 10.1111/ejn.15854
PMID: 36310103


Neuroinformatics is a research field that focusses on software tools capable of identifying, analysing, modelling, organising and sharing multiscale neuroscience data. Neuroinformatics has exploded in the last two decades with the emergence of the Big Data phenomenon, characterised by the so-called 3Vs (volume, velocity and variety), which provided neuroscientists with an improved ability to acquire and process data faster and more cheaply thanks to technical improvements in clinical, genomic and radiological technologies. This situation has led to a 'data deluge', as neuroscientists can routinely collect more study data in a few days than they could in a year just a decade ago. To address this phenomenon, several neuroimaging-focussed neuroinformatics platforms have emerged, funded by national or transnational agencies, with the following goals: (i) development of tools for archiving and organising analytical data (XNAT, REDCap and LabKey); (ii) development of data-driven models evolving from reductionist approaches to multidimensional models (RIN, IVN, HBD, EuroPOND, E-DADS and GAAIN BRAIN); and (iii) development of e-infrastructures to provide sufficient computational power and storage resources (neuGRID, HBP-EBRAINS, LONI and CONP). Although the scenario is still fragmented, there are technological and economical attempts at both national and international levels to introduce high standards for open and Findable, Accessible, Interoperable and Reusable (FAIR) neuroscience worldwide. © 2022 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

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