Reusability First: Toward FAIR Workflows-Reference-Cited by-同舟云学术

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Reusability First: Toward FAIR Workflows

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Cluster Computing (CLUSTER)
language:
Short-container-title:

Author:

Wolf Matthew,Logan Jeremy,Mehta Kshitij,Jacobson Daniel,Cashman Mikaela,Walker Angelica M.,Eisenhauer Greg,Widener Patrick,Cliff Ashley

Funder

Interface

Biological and Environmental Research

U.S. Department of Veterans Affairs

U.S. Department of Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9555841/9555930/09556094.pdf?arnumber=9556094

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A guide to creating an effective big data management framework;Journal of Big Data;2023-09-26

2. MaRDIFlow: A Workflow Framework for Documentation and Integration of FAIR Computational Experiments;Proceedings of the Conference on Research Data Infrastructure;2023-09-07

3. CORE: Comparable, Open, Reliable, Extensible Software: An Experience Report of Four Flux Balance Analysis Tools;Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2023-09-03

4. Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case;2023 IEEE 16th International Conference on Cloud Computing (CLOUD);2023-07

5. Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software;Metabolomics;2023-02-06

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