Grant: Canada Research Chairs
Concordia University
$120,000.00
Big Data Infrastructures for Neuroinformatics
EF 2018-19
Résumé
Reproducibility, the ability to re-generate results obtained by other researchers, is a fundamental principle of the scientific method. Recently, however, numerous studies have challenged the reproducibility of computational experiments in various disciplines, questioning the validity of a wide range of scientific findings. The goal of my research program is to advance Big Data infrastructures to ensure computational reproducibility in the neuroinformatics domain. I will focus particularly on three axes: (1) reproducibility evaluations of data analysis pipelines across infrastructures, (2) automated deployment and configuration of high-performance pipelines, (3) decentralized sharing of Big Data analyses across Web platforms.*
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
1000232010-2017
Name nom
Glatard, Tristan
Department département
Computer Science & Software Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
0
Nb partie
NA
Application title
Big Data Infrastructures for Neuroinformatics
Keyword
NSERC
Application summary
Reproducibility, the ability to re-generate results obtained by other researchers, is a fundamental principle of the scientific method. Recently, however, numerous studies have challenged the reproducibility of computational experiments in various disciplines, questioning the validity of a wide range of scientific findings. The goal of my research program is to advance Big Data infrastructures to ensure computational reproducibility in the neuroinformatics domain. I will focus particularly on three axes: (1) reproducibility evaluations of data analysis pipelines across infrastructures, (2) automated deployment and configuration of high-performance pipelines, (3) decentralized sharing of Big Data analyses across Web platforms.*
