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Dataset Information

Handling Metadata in a Neurophysiology Laboratory.


ABSTRACT: To date, non-reproducibility of neurophysiological research is a matter of intense discussion in the scientific community. A crucial component to enhance reproducibility is to comprehensively collect and store metadata, that is, all information about the experiment, the data, and the applied preprocessing steps on the data, such that they can be accessed and shared in a consistent and simple manner. However, the complexity of experiments, the highly specialized analysis workflows and a lack of knowledge on how to make use of supporting software tools often overburden researchers to perform such a detailed documentation. For this reason, the collected metadata are often incomplete, incomprehensible for outsiders or ambiguous. Based on our research experience in dealing with diverse datasets

SUBMITTER: Zehl L 

PROVIDER: S-EPMC4949266 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature