OdMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments.

ABSTRACT: An essential aspect of scientific reproducibility is a coherent and complete acquisition of metadata along with the actual data of an experiment. The high degree of complexity and heterogeneity of neuroscience experiments requires a rigorous management of the associated metadata. The odML framework represents a solution to organize and store complex metadata digitally in a hierarchical format that is both human and machine readable. However, this hierarchical representation of metadata is difficult to handle when metadata entries need to be collected and edited manually during the daily routines of a laboratory. With odMLtables, we present an open-source software solution that enables users to collect, manipulate, visualize, and store metadata in tabular representations (in xls or csv form

SUBMITTER: Sprenger J 

PROVIDER: S-EPMC6776611 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature