Decarbonization efforts in research often prioritize air travel and laboratory energy use. However, a significant part of emissions arises from the repeated collection of original data, which includes field campaigns, experiments, and high-performance computing. This process not only contributes substantially to carbon emissions, but also requires significant funding and labor, particularly impacting early-career researchers who must secure grants for custom data collection, even when applicable data sets are available and could mitigate emissions if employed effectively.
Repeated data collection through field campaigns, experiments, and high-performance computing significantly contributes to emissions, necessitating considerable funding and labor from researchers.
Early-career researchers face challenges securing grants for bespoke data collection, despite the existence of relevant data sets that could reduce emissions if utilized.
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