Center for Knowledge Infrastructures

Reproducing scientific results is difficult in fields whose research is characterized by large volumes of data, computationally intensive methods, and high degrees of standardization. In data scarce fields, which characterizes much of the earth sciences, reproducing results is even more challenging. Among the factors that limit reproducibility are data access, collection, curation, and accessibility. We discuss the extent to which reproducibility is an appropriate goal in data scarce domains and the tradeoffs between data reuse and reproducibility.