PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS

Konradi P, Troglio A, Pérez Garriga A, Pérez Martín A, Röhrig R, Namer B, Kutafina E (2023)

Publication Type: Journal article

Publication year: 2023

Journal

Frontiers in Neuroinformatics Frontiers Research Foundation / Frontiers Media

Book Volume: 17

Article Number: 1250260

DOI: 10.3389/fninf.2023.1250260

Abstract

In the field of neuroscience, a considerable number of commercial data acquisition and processing solutions rely on proprietary formats for data storage. This often leads to data being locked up in formats that are only accessible by using the original software, which may lead to interoperability problems. In fact, even the loss of data access is possible if the software becomes unsupported, changed, or otherwise unavailable. To ensure FAIR data management, strategies should be established to enable long-term, independent, and unified access to data in proprietary formats. In this work, we demonstrate PyDapsys, a solution to gain open access to data that was acquired using the proprietary recording system DAPSYS. PyDapsys enables us to open the recorded files directly in Python and saves them as NIX files, commonly used for open research in the electrophysiology domain. Thus, PyDapsys secures efficient and open access to existing and prospective data. The manuscript demonstrates the complete process of reverse engineering a proprietary electrophysiological format on the example of microneurography data collected for studies on pain and itch signaling in peripheral neural fibers.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) Forschungszentrum Jülich / Research Centre Jülich (FZJ) DE Germany (DE)

How to cite

APA:

Konradi, P., Troglio, A., Pérez Garriga, A., Pérez Martín, A., Röhrig, R., Namer, B., & Kutafina, E. (2023). PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS. Frontiers in Neuroinformatics, 17. https://dx.doi.org/10.3389/fninf.2023.1250260

MLA:

Konradi, Peter, et al. "PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS." Frontiers in Neuroinformatics 17 (2023).

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