Why experimental variation in neuroimaging should be embraced

G Kiar, JA Mumford, T Xu, JT Vogelstein… - Nature …, 2024 - nature.com
In a perfect world, scientists would develop analyses that are guaranteed to reveal the
ground truth of a research question. In reality, there are countless viable workflows that …

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

KJ Gorgolewski, F Alfaro-Almagro, T Auer… - PLoS computational …, 2017 - journals.plos.org
The rate of progress in human neurosciences is limited by the inability to easily apply a wide
range of analysis methods to the plethora of different datasets acquired in labs around the …

Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging

AI Renton, TT Dao, T Johnstone, O Civier… - Nature …, 2024 - nature.com
Neuroimaging research requires purpose-built analysis software, which is challenging to
install and may produce different results across computing environments. The community …

Italian, European, and international neuroinformatics efforts: An overview

A Redolfi, D Archetti, S De Francesco… - European Journal of …, 2023 - Wiley Online Library
Neuroinformatics is a research field that focusses on software tools capable of identifying,
analysing, modelling, organising and sharing multiscale neuroscience data …

[HTML][HTML] Evaluating the reliability of human brain white matter tractometry

J Kruper, JD Yeatman, A Richie-Halford, D Bloom… - Aperture …, 2021 - ncbi.nlm.nih.gov
The validity of research results depends on the reliability of analysis methods. In recent
years, there have been concerns about the validity of research that uses diffusion-weighted …

Is neuroscience FAIR? A call for collaborative standardisation of neuroscience data

JB Poline, DN Kennedy, FT Sommer, GA Ascoli… - Neuroinformatics, 2022 - Springer
In this perspective article, we consider the critical issue of data and other research object
standardisation and, specifically, how international collaboration, and organizations such as …

The global impact of science gateways, virtual research environments and virtual laboratories

M Barker, SD Olabarriaga, N Wilkins-Diehr… - Future Generation …, 2019 - Elsevier
Science gateways, virtual laboratories and virtual research environments are all terms used
to refer to community-developed digital environments that are designed to meet a set of …

FAIRly big: A framework for computationally reproducible processing of large-scale data

AS Wagner, LK Waite, M Wierzba, F Hoffstaedter… - Scientific data, 2022 - nature.com
Large-scale datasets present unique opportunities to perform scientific investigations with
unprecedented breadth. However, they also pose considerable challenges for the findability …

[PDF][PDF] An analysis of security vulnerabilities in container images for scientific data analysis

B Kaur, M Dugré, A Hanna, T Glatard - GigaScience, 2021 - academic.oup.com
Background Software containers greatly facilitate the deployment and reproducibility of
scientific data analyses in various platforms. However, container images often contain …

Data and tools integration in the Canadian open neuroscience platform

JB Poline, S Das, T Glatard, C Madjar, EW Dickie… - Scientific Data, 2023 - nature.com
Abstract We present the Canadian Open Neuroscience Platform (CONP) portal to answer
the research community's need for flexible data sharing resources and provide advanced …