PROV-IO-Reference-Cited by-同舟云学术

PROV-IO

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
language:
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Author:

Han Runzhou¹,Byna Suren²,Tang Houjun²,Dong Bin²,Zheng Mai¹

Affiliation:

1. Iowa State University, Ames, IA, USA

2. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Funder

Department of Energy

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3502181.3531477

Reference75 articles.

1. The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View]

2. The FAIR Guiding Principles for scientific data management and stewardship

3. Fair principles. [Online]. Available: https://www.go-fair.org/fair-principles/ (visited on 10/04/2021). Fair principles. [Online]. Available: https://www.go-fair.org/fair-principles/ (visited on 10/04/2021).

4. Trustworthy data underpin reproducible research

5. B. Dong , " DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection," in 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS'20) , 2020 . B. Dong et al., "DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection," in 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS'20), 2020.

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