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FAIR Enabling Re-Use of Data-Intensive Workflows and Scient..:
, In:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
,
Pouchard, Line C.
- p. 329 ff. , 2023
Link:
https://dl.acm.org/doi/10.1145/3578245.3586012
RT T1 <cTitle>Companion of the 2023 ACM/SPEC International Conference on Performance Engineering</cTitle>: T1 <Title>FAIR Enabling Re-Use of Data-Intensive Workflows and Scientific Reproducibility</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3586012&Exemplar=1&LAN=DE A1 Pouchard, Line C. PB ACM YR 2023 K1 FAIR K1 FDO K1 HPC K1 RECUP K1 data intensive K1 high performance computing K1 reproducibility K1 Information systems K1 Information systems applications K1 Data management systems SP 329 ff. LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3578245.3586012 DO https://dl.acm.org/doi/10.1145/3578245.3586012 SF ELIB - SuUB Bremen
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