Scientific Visualization on the Cloud: the NEANIAS Services towards EOSC Integration

Abstract

NEANIAS is a research and innovation action project funded by the European Union under the Horizon 2020 program. The project addresses the challenge of prototyping novel solutions for the underwater, atmospheric and space research communities, creating a collaborative research ecosystem, and contributing to the effective materialization of the European Open Science Cloud (EOSC). NEANIAS drives the co-design, implementation, delivery, and integration into EOSC of innovative thematic and core services, derived from state-of-the-art assets and practices in the target scientific communities. We present the overall NEANIAS ecosystem architecture, with an emphasis on its core visualization services, detailing their specifications and software development plan, and focusing on the underpinning service-oriented architecture for their delivery. We report on the underlying ideas and guiding principles for designing such visualization services, outlining their current release status and future development roadmaps towards Technological Readiness Level (TRL) 8 maturity and EOSC integration.

Big Data Architectures for FAIR-compliant Repositories: A Systematic Review

“…The authors describe its architecture, which covers the processes between the collection of clinical data to the publication of its metadata in the network as triplestores. Furthermore, NEANIAS [Sciacca et al 2022] is a service-oriented architecture to provide analytics for underwater, atmospheric and space related data. It is comprised of four high level core services to support open science lifecycles, integration with the open science cloud, artificial intelligence, and visualization.…”

“…Additionally, both BigFAIR [Castro et al 2022a] and CloudFAIR [Castro et al 2022b] use COVID-19 patients data in their experiments, whereas GADDS [Vazquez et al 2022] employs fiber cell tissue research data during its instantiation. Another commonly addressed context is that of earth-related data, being covered by the repositories of Panȃ et al (2021), Felikson et al (2022), Sciacca et al (2022), andRueda-Ruiz et al (2022). The proportion of studies per data context is illustrated in Figure 2b.…”

Pemanfaatan Sistem Informasi Geografis Berbasis Web Dalam Meningkatkan Akurasi Informasi Terkait Rekam Jejak Sumur Minyak Dan Gas Bumi Di Pulau Madura

“…Penggunaan webgis saat ini telah berkembang untuk berbagai sektor seperti pemanfaatannya dalam pembangunan wilayah seperti smart city (Hari Ginardi et al, 2017), pendidikan, integrasi basis data biota laut (Agurto et al, 2018), integrasi dengan sistem cloud computing (De Lázaro Torres et al, 2017;Fortunato et al, 2017;Helmi et al, 2018;Piragnolo et al, 2021;Sciacca et al, 2022;Xia et al, 2015), kesehatan (Barik et al, 2019;Mooney & Juhász, 2020), bibliografi dalam penelitian (Howell et al, 2019), manajemen mitigasi kebencanaan (Capolupo et al, 2021;Fauzia et al, 2021;Feng et al, 2012;Franceschini et al, 2022;Gang et al, 2016;Gebreegziabher et al, 2021;Xianfu et al, 2012), forecasting (Fortunato et al, 2017), pariwisata (Klug et al, 2012), minyak dan gas bumi (Abdunaser, 2020;Khan & Hasan, 2020;Li, 2020;Russell et al, 2015;Valensise et al, 2022), hingga dalam memberikan solusi kebijakan dalam penentuan lokasi pembangkit listrik power to gas (La Guardia et al, 2021).Penggunaan perangkat lunak dalam bidang geospasial sangat disarankan sesuai dengan amanat UU No 11 Tahun 2011 tentang Informasi Geospasial pasal 31 yang menyatakan bahwa pengolahan data geospasial dan informasi geospasial dilakukan dengan perangkat lunak yang berlisensi dan/atau bersifat bebas dan terbuka (Mary Fargher, 2018;Serrano-Estrada et al, 2021).…”