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Наслов: Assessing Quality Requirements for Onboarding Web Services to the European Open Science Cloud (EOSC): A Case Study of the Gaussian API
Authors: Misheva, Despina
Stojcheva, Marija
Bosheva, Mia
Koteska, Bojana 
Pejov, LJupcho 
Mishev, Anastas 
Keywords: EOSC
Software quality
Web service
open science
Issue Date: 14-дек-2023
Publisher: Slovak University of Technology in Bratislava, Slovakia, Faculty of Informatics and Information Technologies
Проект: National Initiatives for Open Science - Europe, NI4OS-Europe, [857645]
Series/Report no.: 3588;80-91
Conference: SQAMIA 2023: Workshop on Software Quality, Analysis, Monitoring, Improvement, and Applications, September 10—-13, 2023, Bratislava, Slovakia
Abstract: The European Open Science Cloud (EOSC) is an initiative by the European Commission to support EU science by establishing a virtual environment for publishing, hosting, and reusing research. It promotes common standards, interoperability, and best practices for sharing and utilizing data and services. The EOSC platform contributes significantly to open science and facilitates transparent and accessible knowledge sharing. The resource onboarding process to the EOSC requires compliance with the established quality criteria. This paper focuses on accessing quality criteria for successful onboarding, including a case study on the RESTful web service for fitting repulsive potentials in density-functional tight-binding with Gaussian process regression - Gaussian API. The onboarding process follows a sequential evaluation of a set of criteria. The examination of The Gaussian API integration into EOSC provides valuable insights into three main aspects: improving service quality, considering the benefits of Open Science, and addressing challenges related to the smooth onboarding process.
URI: http://hdl.handle.net/20.500.12188/28918
ISSN: 1613-0073
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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