– Foundations of Photography: Composition

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In such cases, the goal may shift to ensuring that others can obtain results that are semantically consistent with the original findings [ 5, 6]. In addition, in studies where vast computational resources are needed to perform an analysis, or where data sets are distributed geographically [ 104 106], full reproducibility may be infeasible.

Alternatively, it may be infeasible to reallocate computational resources for highly computationally intensive analyses [ 8]. In these cases, researchers can provide relatively simple examples to demonstrate the methodology [ 8]. When legal restrictions prevent researchers from publicly sharing software or data, or when software is available only via a Web interface, researchers should document the analysis steps as well as possible and describe why such components cannot be shared [ 25].

Computational reproducibility does not guarantee against analytical biases, or ensure that software produces scientifically valid results [ 107]. As with any research, a poor study design, confounding effects, or improper use of analytical software may plague even the most reproducible analyses [ 107, 108].

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