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Data Management

Research is becoming increasingly more reliant on computational workflows, such as combining diverse datasets, processing big data, running computational models, and organizing information across geographically dispersed and interdisciplinary teams. Because the scientific process is anchored on reproducibility and peer review, funding organizations and journals have adjusted th ...

During CAF LTAR's DataCAFe, Dr. Eric Russell led a discussion on working with data from different sources and ways to avoid issues. He used his experience working with 18 LTAR sites as a way to illustrate his points. His write up is below. As a co-lead processing eddy covariance (EC) data for an active working group within LTAR, the division between those who are familiar with ...