Zitationsvorschlag

Arendt, Thorsten und Schütz, Alexander C.: Adapting Established Software Engineering Techniques and Technologies into an Assistance System for Neuroscientists, in Heuveline, Vincent, Gebhart, Fabian und Mohammadianbisheh, Nina (Hrsg.): E-Science-Tage 2019: Data to Knowledge, Heidelberg: heiBOOKS, 2020, S. 32–46. https://doi.org/10.11588/heibooks.598.c8415

Lizenz (Kapitel)

Creative Commons License

Dieses Werk steht unter der Lizenz Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International.

Identifier (Buch)

https://doi.org/10.11588/heibooks.598
ISBN 978-3-948083-14-4 (PDF)
ISBN 978-3-948083-15-1 (Softcover)

Veröffentlicht

26.03.2020

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Statistik

Autor/innen

Thorsten Arendt, Alexander C. Schütz

Adapting Established Software Engineering Techniques and Technologies into an Assistance System for Neuroscientists

In the information infrastructure project NOWA (NeurOscientific Workflow Assistance)
of the collaborative research center CRC/TRR 135 Cardinal mechanisms of perception:
Prediction, Valuation, Categorization we develop and combine tools for the sharing of
research data. In this context, NOWA aims to create an organizational and technological
framework that supports workflows throughout the entire research data lifecycle. This
article addresses the conceptual and technical part of NOWA. We first discuss the specific
requirements of the scientists and then compare them with proven solutions from
the computer science and software engineering domain, respectively. These so-called best
practices are then adapted to the specific needs within the CRC. Finally, we conclude the
article by an overview of the planned technical and technological implementation of the
NOWA assistance system.