RDMUC: Various Approaches to Research Data Repositories in Munich

Arnold, Eckhart; Berg-Weiß, Alexander; Grossmann, Yves Vincent; Grummann, Martin; Hachinger, Stephan; Klopova, Olga; Leiminger, Larissa; Munke, Johannes; Spenger, Martin; Zastrow, Thomas; Wachtler, Thomas; Wolter, Christine

doi:10.1515/abitech-2024-0004

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RDMUC: Various Approaches to Research Data Repositories in Munich

Arnold, E., Berg-Weiß, A., Grossmann, Y. V., Grummann, M., Hachinger, S., Klopova, O., et al. (2024). RDMUC: Various Approaches to Research Data Repositories in Munich. ABI Technik, 44(1), 28-38. doi:10.1515/abitech-2024-0004.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-639A-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-639B-4

Genre: Journal Article

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Arnold, Eckhart, Author
Berg-Weiß, Alexander, Author
Grossmann, Yves Vincent, Author
Grummann, Martin, Author
Hachinger, Stephan, Author
Klopova, Olga, Author
Leiminger, Larissa, Author
Munke, Johannes, Author
Spenger, Martin, Author
Zastrow, Thomas¹, Author
Wachtler, Thomas, Author
Wolter, Christine, Author

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1Max Planck Computing and Data Facility, Max Planck Society, ou_2364734

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Abstract: There is strength in diversity. This article illustrates this through the various open-source software solutions for data repositories in scientific institutions in the Munich area. Within close geographic proximity, various software solutions serve as the foundation for these repositories. The text presents the software utilized in their respective usage scenarios, along with the applied performance features. Consequently, the following pages are intended to offer guidance to other scientific institutions seeking suitable software for their research data repositories, extending beyond Munich.

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Dates: Published Online: 2024-02-09Date issued: 2024-02-06

Publication Status: Issued

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Identifiers: DOI: 10.1515/abitech-2024-0004

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Title: ABI Technik

Source Genre: Journal

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Publ. Info: Berlin : De Gruyter

Pages: - Volume / Issue: 44 (1) Sequence Number: - Start / End Page: 28 - 38 Identifier: ISSN: 0720-6763