Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging. / Souter, Nicholas E.; Lannelongue, Loïc; Samuel, Gabrielle; Racey, Chris; Colling, Lincoln J.; Bhagwat, Nikhil; Selvan, Raghavendra; Rae, Charlotte L.
In: Imaging Neuroscience, Vol. 1, 2023, p. 1-15.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging
AU - Souter, Nicholas E.
AU - Lannelongue, Loïc
AU - Samuel, Gabrielle
AU - Racey, Chris
AU - Colling, Lincoln J.
AU - Bhagwat, Nikhil
AU - Selvan, Raghavendra
AU - Rae, Charlotte L.
PY - 2023
Y1 - 2023
N2 - Given that scientific practices contribute to the climate crisis, scientists should reflect on the planetary impact of their work. Research computing can have a substantial carbon footprint in cases where researchers employ computationally expensive processes with large amounts of data. Analysis of human neuroimaging data, such as Magnetic Resonance Imaging brain scans, is one such case. Here, we consider ten ways in which those who conduct human neuroimaging research can reduce the carbon footprint of their research computing, by making adjustments to the ways in which studies are planned, executed, and analysed; as well as where and how data are stored.
AB - Given that scientific practices contribute to the climate crisis, scientists should reflect on the planetary impact of their work. Research computing can have a substantial carbon footprint in cases where researchers employ computationally expensive processes with large amounts of data. Analysis of human neuroimaging data, such as Magnetic Resonance Imaging brain scans, is one such case. Here, we consider ten ways in which those who conduct human neuroimaging research can reduce the carbon footprint of their research computing, by making adjustments to the ways in which studies are planned, executed, and analysed; as well as where and how data are stored.
U2 - 10.1162/imag_a_00043
DO - 10.1162/imag_a_00043
M3 - Journal article
VL - 1
SP - 1
EP - 15
JO - Imaging Neuroscience
JF - Imaging Neuroscience
SN - 2837-6056
ER -
ID: 383012515