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Provenance for seismological processing pipelines in a distributed streaming workflow
Harvesting provenance for streaming workflows presents challenges related to the high rate of the...
A Spinuso, J Cheney, M Atkinson | Conference: EDTB/ICTD workshop: Managing and Querying Provenance Data at Scale | Year: 2013 | First page: 0 | Last page: 0
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VERCE Delivers a Productive E-science Environment for Seismology Research
The VERCE project has pioneered an e-Infrastructure to support researchers using established simu...
Malcolm Atkinson, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: 10.1109/eScience.2015.38
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Comprehensible Control for Researchers and Developers Facing Data Challenges
The DARE platform enables researchers and their developers to exploit more capabilities to handle...
Malcolm Atkinson, Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.00042
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Establishing Core Concepts for Information-Powered Collaborations
Science benefits tremendously from mutual exchanges of information and pooling of effort and reso...
L Trani, MP Atkinson, D Bailo, R Paciello, R Filgueira | Status: published | Journal: Future Generation Computer Systems | Volume: 89 | Year: 2018 | First page: 421 | Last page: 437 | doi: https://doi.org/10.1016/j.future.2018.07.005
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S-ProvFlow. Storing and Exploring Lineage Data as a Service
We present a set of configurable Web service and interactive tools, s-ProvFlow, for managing and ...
Alessandro Spinuso, Malcolm Atkinson, Federica Magnoni | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00128
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