Subject: EOSC
Subject: Software quality
Subject: Web service
Subject: open science
Year: 2023
Type: Proceeding article
Title: Assessing Quality Requirements for Onboarding Web Services to the European Open Science Cloud (EOSC): A Case Study of the Gaussian API
Author: Misheva, Despina
Author: Stojcheva, Marija
Author: Bosheva, Mia
Author: Koteska, Bojana
Author: Pejov, LJupcho
Author: Mishev, Anastas
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.
Publisher: Slovak University of Technology in Bratislava, Slovakia, Faculty of Informatics and Information Technologies
Relation: National Initiatives for Open Science - Europe, NI4OS-Europe, [857645]
Identifier: oai:repository.ukim.mk:20.500.12188/28918
Identifier: 1613-0073
Identifier: http://hdl.handle.net/20.500.12188/28918
