Italian, European, and international neuroinformatics efforts: An overview

被引:6
|
作者
Redolfi, Alberto [1 ]
Archetti, Damiano [1 ]
De Francesco, Silvia [1 ]
Crema, Claudio [1 ]
Tagliavini, Fabrizio [2 ]
Lodi, Raffaele [3 ,4 ]
Ghidoni, Roberta [5 ]
Wheeler-Kingshott, Claudia A. M. Gandini [6 ,7 ,8 ]
Alexander, Daniel C. [9 ,10 ]
D'Angelo, Egidio [7 ,8 ]
机构
[1] IRCCS Ist Ctr San Giovanni Dio Fatebenefratelli, Lab Neuroinformat, Brescia, Italy
[2] Fdn IRCCS Ist Neurol Carlo Besta, Sci Directorate, Milan, Italy
[3] IRCCS Ist Sci Neurol Bologna, Funct & Mol Neuroimaging Unit, Bologna, Italy
[4] Univ Bologna, Dept Biomed & Neuromotor Sci, Bologna, Italy
[5] IRCCS Ist Ctr San Giovanni Dio Fatebenefratelli, Mol Markers Lab, Brescia, Italy
[6] UCL, Queen Sq MS Ctr, Dept Neuroinflammat, NMR Res Unit,Inst Neurol, London, England
[7] Univ Pavia, Dept Brain & Behav Sci, Pavia, Italy
[8] IRCCS Mondino Fdn, Brain Connect Ctr, Pavia, Italy
[9] UCL, Ctr Med Image Comp, London, England
[10] UCL, Dept Comp Sci, London, England
基金
英国工程与自然科学研究理事会;
关键词
Alzheimer's disease; computational models; FAIR; international cooperation; neuroinformatics; ALZHEIMERS-DISEASE; COMPUTATIONAL NEUROSCIENCE; BIOMARKER CHANGES; CLINICAL CORE; BRAIN; PLATFORM; PROGRESS; MODEL; IMAGE; ARCHIVE;
D O I
10.1111/ejn.15854
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:2017 / 2039
页数:23
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