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First 890 results for ” RB Blessing”

1. dispel4py: An agile framework for data-intensive escience

   We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...

   Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40

   Publication

2. DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud

   The DARE platform has been designed to help research developers deliver user-facing applications ...

   Iraklis Klampanos, Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.00079

   Publication

3. 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

   Publication

4. 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

   Publication

5. Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects

   Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) convenes the clim...

   Martina Stockhause, Alessandro Spinuso | Journal: PLOS Climate | Volume: 3(12) | Year: 2024 | doi: https://doi.org/10.1371/journal.pclm.0000533

   Publication