OPEN DATA INFRASTRUCTURES: EUROPEAN OPEN SCIENCE CLOUD

被引:0
|
作者
Vevera, V. A. [1 ]
Barbu, D. [1 ]
机构
[1] Natl Inst Res & Dev Informat, Bucharest, Romania
来源
14TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED2020) | 2020年
关键词
Open science; open innovation; data infrastructures; Cloud Computing; open data;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This paper will present the leading trends in global open data infrastructures that are currently shaping the future of data-driven science with an emphasis on the European vision for open innovation and Cloud Computing. The European Open Science Cloud (EOSC) is part of the European Union's (EU) strategy regarding the building of a competitive data and knowledge economy in Europe. The EOSC also supports the EU's policy on open science as it aims to give the Union a global lead in research data management, ensure that European scientists reap the full benefits of data-driven science and accelerate the transition to open science and open innovation. Moreover, our research will present the benefits of creating a pan-European federation of data infrastructures built around a federating core that provides access to a wide range of publicly funded services supplied at national, regional and institutional levels. Thusly, this open data pan-European infrastructure will offer access to researchers, students and various stakeholders to a vast array of information, data and services, facilitating the open learning process for all interested parties.
引用
收藏
页码:5573 / 5577
页数:5
相关论文
共 50 条
  • [31] Recommendations for open data science
    Gymrek, Melissa
    Farjoun, Yossi
    GIGASCIENCE, 2016, 5
  • [32] Contributions Made by the Brazilian Institute of Information in Science and Technology to Promoting Open Access and Open Science: An Analysis of its Infrastructures
    de Freitas-Campos, Fhillipe
    Borges-Sena, Priscila Machado
    de Carvalho-Segundo, Washington Luis Ribeiro
    Amaro, Bianca
    Vilas-Boas, Raphael Faria
    REVISTA CIENTIFICA, 2023, 48 (03): : 56 - 66
  • [33] Progress of "Plasma and Fusion Cloud" research data platform towards "Open Science''
    Nakanishi, Hideya
    Emoto, Masahiko
    Takayama, Arimichi
    Yamamoto, Takashi
    Yamanaka, Kenjiro
    Urushidani, Shigeo
    Ohsuna, Masaki
    Imazu, Setsuo
    Yoshida, Masanobu
    Nonomura, Miki
    Satake, Shinsuke
    Todo, Yasushi
    Osakabe, Masaki
    Sakamoto, Ryuichi
    FUSION ENGINEERING AND DESIGN, 2025, 214
  • [34] APRICOT: Advanced Platform for Reproducible Infrastructures in the Cloud via Open Tools
    Gimenez-Alventosa, Vicent
    Damian Segrelles, Jose
    Molto, German
    Roca-Sogorb, Mar
    METHODS OF INFORMATION IN MEDICINE, 2020, 59 : e33 - e45
  • [35] The Ninth National Information Day: Open Science, Open Data, Open Access
    Stanchev, Peter
    Damyanova, Milena
    Zherkova, Yanita
    Karova, Zlatina
    Jecheva, Guenoveva
    Pavlov, Radoslav
    Simeonov, George
    DIGITAL PRESENTATION AND PRESERVATION OF CULTURAL AND SCIENTIFIC HERITAGE, 2018, 8 : 235 - 240
  • [36] Research Data Management Implementation at Peking University Library: Foster and Promote Open Science and Open Data
    Hua Nie
    Pengcheng Luo
    Ping Fu
    Data Intelligence, 2021, 3 (01) : 189 - 204
  • [37] Research Data Management Implementation at Peking University Library: Foster and Promote Open Science and Open Data
    Nie, Hua
    Luo, Pengcheng
    Fu, Ping
    DATA INTELLIGENCE, 2021, 3 (01) : 189 - 204
  • [38] Open data using Cloud infrastructure An initiative to host, share and use open data using cloud services
    Mandava, Vani
    PROCEEDINGS OF THE 6TH ACM IKDD CODS AND 24TH COMAD, 2019, : 269 - 271
  • [39] Open data and open science: how brazilian federal universities present themselves in this horizon
    Gomes Santos, Ana Cristina
    Goncalves de Freitas, Judite Antonieta
    BIBLIOS-REVISTA DE BIBLIOTECOLOGIA Y CIENCIAS DE LA INFORMACION, 2020, (78): : 1 - 16
  • [40] Fostering Open Science at Fraunhofer
    Kuesters, Ulrike
    Klages, Tina
    14TH INTERNATIONAL CONFERENCE ON CURRENT RESEARCH INFORMATION SYSTEMS (CRIS2018): FAIRNESS OF RESEARCH INFORMATION, 2019, 146 : 39 - 52