Article by Henrietta Howells: “Raw neuroimaging data require further processing before they can be used for scientific or clinical research. Traditionally, this could be accomplished with a single powerful computer. However, much greater computing power is required to analyze the large open-access cohorts that are increasingly being released to the community. And processing pipelines are inconsistently scripted, which can hinder reproducibility efforts. This creates a barrier for labs lacking access to sufficient resources or technological support, potentially excluding them from neuroimaging research. A paper by Hayashi and colleagues in Nature Methods offers a solution. They present https://brainlife.io, a freely available, web-based platform for secure neuroimaging data access, processing, visualization and analysis. It leverages ‘opportunistic computing’, which pools processing power from commercial and academic clouds, making it accessible to scientists worldwide. This is a step towards lowering the barriers for entry into big data neuroimaging research…(More)”.
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Data Collaboratives
Open Data
Framework for the Governance of Indigenous Data: HASS and Indigenous Research Data Commons
Posted in June 5, 2026 by Stefaan Verhulst
INSTITUTIONAL INNOVATION
Open Innovation
Why the Gates Foundation Abandoned Article Processing Charges (and What They’re Doing Instead)
Posted in June 5, 2026 by Stefaan Verhulst
DATA
Data Collaboratives
Open Data
From COVID-19 to Hantavirus and Ebola: Why Access to Non-Traditional Data Remains a Critical Gap in Outbreak Preparedness
Posted in June 4, 2026 by Stefaan Verhulst