CyVerse Austria—A Local, Collaborative Cyberinfrastructure
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 lea...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Mathematical and Computational Applications |
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| Online Access: | https://www.mdpi.com/2297-8747/25/2/38 |
| _version_ | 1797564264540536832 |
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| author | Konrad Lang Sarah Stryeck David Bodruzic Manfred Stepponat Slave Trajanoski Ursula Winkler Stefanie Lindstaedt |
| author_facet | Konrad Lang Sarah Stryeck David Bodruzic Manfred Stepponat Slave Trajanoski Ursula Winkler Stefanie Lindstaedt |
| author_sort | Konrad Lang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T18:54:55Z |
| format | Article |
| id | doaj.art-13e2baa057c8448e94e409ff8023c2e8 |
| institution | Directory Open Access Journal |
| issn | 1300-686X 2297-8747 |
| language | English |
| last_indexed | 2024-03-10T18:54:55Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematical and Computational Applications |
| spelling | doaj.art-13e2baa057c8448e94e409ff8023c2e82023-11-20T04:46:52ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472020-06-012523810.3390/mca25020038CyVerse Austria—A Local, Collaborative CyberinfrastructureKonrad Lang0Sarah Stryeck1David Bodruzic2Manfred Stepponat3Slave Trajanoski4Ursula Winkler5Stefanie Lindstaedt6Institute for Interactive Systems and Data Science, Graz University of Technology, 8010 Graz, AustriaInstitute for Interactive Systems and Data Science, Graz University of Technology, 8010 Graz, AustriaServer and Storage Systems, University of Graz, 8010 Graz, AustriaCentral Information Technology, Graz University of Technology, 8010 Graz, AustriaCore Facility Computational Bioanalytics, Medical University of Graz, 8010 Graz, AustriaServer and Storage Systems, University of Graz, 8010 Graz, AustriaInstitute for Interactive Systems and Data Science, Graz University of Technology, 8010 Graz, AustriaLife 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.https://www.mdpi.com/2297-8747/25/2/38computational infrastructureDockerbioinformaticslife sciencesHPCcomputing |
| spellingShingle | Konrad Lang Sarah Stryeck David Bodruzic Manfred Stepponat Slave Trajanoski Ursula Winkler Stefanie Lindstaedt CyVerse Austria—A Local, Collaborative Cyberinfrastructure Mathematical and Computational Applications computational infrastructure Docker bioinformatics life sciences HPC computing |
| title | CyVerse Austria—A Local, Collaborative Cyberinfrastructure |
| title_full | CyVerse Austria—A Local, Collaborative Cyberinfrastructure |
| title_fullStr | CyVerse Austria—A Local, Collaborative Cyberinfrastructure |
| title_full_unstemmed | CyVerse Austria—A Local, Collaborative Cyberinfrastructure |
| title_short | CyVerse Austria—A Local, Collaborative Cyberinfrastructure |
| title_sort | cyverse austria a local collaborative cyberinfrastructure |
| topic | computational infrastructure Docker bioinformatics life sciences HPC computing |
| url | https://www.mdpi.com/2297-8747/25/2/38 |
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