Facilitating the Sharing of Electrophysiology Data Analysis Results Through In-Depth Provenance Capture
Cristiano A. Köhler,
Danylo Ulianych,
Sonja Grün
et al.
Abstract:Scientific research demands reproducibility and transparency, particularly in data-intensive fields like electrophysiology. Electrophysiology data is typically analyzed using scripts that generate output files, including figures. Handling these results poses several challenges due to the complexity and iterative nature of the analysis process. These stem from the difficulty to discern the analysis steps, parameters, and data flow from the results, making knowledge transfer and findability challenging in collab… Show more
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