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CyVerse Austria—A Local, Collaborative Cyberinfrastructure

1
Institute for Interactive Systems and Data Science, Graz University of Technology, 8010 Graz, Austria
2
Server and Storage Systems, University of Graz, 8010 Graz, Austria
3
Central Information Technology, Graz University of Technology, 8010 Graz, Austria
4
Core Facility Computational Bioanalytics, Medical University of Graz, 8010 Graz, Austria
5
Know-Center GmbH, 8010 Graz, Austria
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Math. Comput. Appl. 2020, 25(2), 38; https://doi.org/10.3390/mca25020038
Received: 25 May 2020 / Revised: 16 June 2020 / Accepted: 22 June 2020 / Published: 24 June 2020
(This article belongs to the Special Issue High-Performance Computing 2020)
Life sciences (LS) are advanced in research data management, since LS have established disciplinary tools for data archiving as well as metadata standards for data reuse. However, there is a lack of tools supporting the active research process in terms of data management and data analytics. This leads to tedious and demanding work to ensure that research data before and after publication are FAIR (findable, accessible, interoperable and reusable) and that analyses are reproducible. The initiative CyVerse US from the University of Arizona, US, supports all processes from data generation, management, sharing and collaboration to analytics. Within the presented project, we deployed an independent instance of CyVerse in Graz, Austria (CAT) in frame of the BioTechMed association. CAT helped to enhance and simplify collaborations between the three main universities in Graz. Presuming steps were (i) creating a distributed computational and data management architecture (iRODS-based), (ii) identifying and incorporating relevant data from researchers in LS and (iii) identifying and hosting relevant tools, including analytics software to ensure reproducible analytics using Docker technology for the researchers taking part in the initiative. This initiative supports research-related processes, including data management and analytics for LS researchers. It also holds the potential to serve other disciplines and provides potential for Austrian universities to integrate their infrastructure in the European Open Science Cloud. View Full-Text
Keywords: computational infrastructure; Docker; bioinformatics; life sciences; HPC; computing; container; singularity computational infrastructure; Docker; bioinformatics; life sciences; HPC; computing; container; singularity
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MDPI and ACS Style

Lang, K.; Stryeck, S.; Bodruzic, D.; Stepponat, M.; Trajanoski, S.; Winkler, U.; Lindstaedt, S. CyVerse Austria—A Local, Collaborative Cyberinfrastructure. Math. Comput. Appl. 2020, 25, 38. https://doi.org/10.3390/mca25020038

AMA Style

Lang K, Stryeck S, Bodruzic D, Stepponat M, Trajanoski S, Winkler U, Lindstaedt S. CyVerse Austria—A Local, Collaborative Cyberinfrastructure. Mathematical and Computational Applications. 2020; 25(2):38. https://doi.org/10.3390/mca25020038

Chicago/Turabian Style

Lang, Konrad, Sarah Stryeck, David Bodruzic, Manfred Stepponat, Slave Trajanoski, Ursula Winkler, and Stefanie Lindstaedt. 2020. "CyVerse Austria—A Local, Collaborative Cyberinfrastructure" Mathematical and Computational Applications 25, no. 2: 38. https://doi.org/10.3390/mca25020038

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