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1
Budroni, Paolo, Jean Claude-Burgelman, and Michel Schouppe. "Architectures of Knowledge: The European Open Science Cloud." ABI Technik 39, no. 2 (July 1, 2019): 130–41. http://dx.doi.org/10.1515/abitech-2019-2006.
Повний текст джерелаАнотація:
Abstract In November 2018, the European Commission launched the European Open Science Cloud (EOSC) in Vienna. The EOSC envisions establishing a European data infrastructure, integrating high-capacity cloud solutions, eventually widening the scope of these services to include the public sector and the industry. Understanding the EOSC structure is a first step in recognizing the opportunities offered by the newly launched EOSC. This article offers some reflections for a better understanding of the realization of the EOSC at the present stage, including currently ongoing developments. Burgelman and Schouppe published under their own names and their text does not necessarily represent the view of the EC.
2
Bicarregui, Juan Carlos. "Quality and Trust in the European Open Science Cloud." International Journal of Digital Curation 15, no. 1 (November 3, 2020): 8. http://dx.doi.org/10.2218/ijdc.v15i1.720.
Повний текст джерелаАнотація:
The European Open Science Cloud (EOSC) has the objective to provide a virtual environment offering open and seamless services for the re-use of research data across borders and scientific disciplines. This ambitious vision sets significant challenges that the research community must meet if the benefits of EOSC are to be realised. One of those challenges, which has both technical and cultural aspects, is to determine the “Rules of Participation” that enable users to assess the quality of the data and services provided through EOSC and thereby enable them to trust the data and services they access. This paper discusses some issues relevant to determining the Rules of Participation that will enable EOSC to meet these objectives.
3
Burgelman, Jean-Claude. "Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)." Data Intelligence 3, no. 1 (February 2021): 5–19. http://dx.doi.org/10.1162/dint_a_00069.
Повний текст джерелаАнотація:
This article will document how the European Open Science Cloud (EOSC) emerged as one of the key policy intentions to foster Open Science (OS) in Europe. It will describe some of the typical, non-rational roadblocks on the way to implement EOSC. The article will also argue that the only way Europe can take care of its research data in a way that fits the European specificities fully, is by supporting EOSC.
4
Bauer, Bruno. "Präsentation der European Open Science Cloud an der Universität Wien (Wien, 23. November 2018)." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 71, no. 3-4 (December 28, 2018): 524–29. http://dx.doi.org/10.31263/voebm.v71i3-4.2171.
Повний текст джерелаАнотація:
Am 23. November 2018 wurde im Rahmen der österreichischen EU-Ratspräsidentschaft die erste Version des Internet-Portals der „European Open Science Cloud“ (EOSC) an der Universität Wien präsentiert. Vertreterinnen und Vertreter aus Politik, Wissenschaft und Forschungsförderung sowie der Europäischen Kommission sprachen über Konzept und Bedeutung der EOSC und stellten an konkreten Beispielen deren Potential vor. Im Rahmen dieser Veranstaltung wurde auch „The Vienna Declaration on the European Open Science Cloud“ öffentlich vorgestellt.
5
Orliuk, Olena. "European’s Union Open Science Policy as a global benchmark for Ukraine: legal environment." Theory and Practice of Intellectual Property, no. 6 (December 27, 2021): 158–72. http://dx.doi.org/10.33731/62021.249468.
Повний текст джерелаАнотація:
Keywords: Open Science, EOSC, intellectual property, scientific researches, COVID-19 pandemic, UA-EU Association, Digital Europe
The article provides an analysis of the EU practices inthe field of development and implementation on the Open Science Policy, elaboration ofthe European Open Science Cloud (EOSC), employment of the FAIR principles and theirenhancement with CARE-principles. The European Commission activities are reviewedin the area of the Open Science roll-out as well as its ability to withstand the emergingglobal challenges like COVID-19. The EOSC concept is overviewed on the backdrop ofsuch EU policies as unified Digital Market Strategy and European Cloud Initiative, EuropeanResearch Environment, and Industrial Digitalization, as a part of those. EOSCconcept integration is considered through the development and interaction of Europeanand national research and e-infrastructures and data arrays, services and knowledgewithin the EU and globally.Steps are analyzed taken by Ukraine towards its integration to European researchenvironment and EOSC in the legal field, taking into account the State Authorities activityand implementation of the Ukraine-EU Association Agreement. It is highlighted thatthe innovations’ development of Ukraine is bound, both in timelines and meaningfully,with digital economics and the society development, intellectual property area, and should align the Ukrainian science initiatives with the European Cloud initiative as wellas further steps to joint the EOSC. It is consequently proven that consistent and meaningfulimplementation of the UA-EU Association commitments via the conceptual andstrategic regulations adopted by the state authorities is essential for Ukraine integrationto the EU’s Digital Market and Digital Environment so that to enhance its science potential.It is concluded that consistent efforts on implementing the goals and objectives asfor regulatory environment with their consequent enforcement creates the vital groundsfor successful enrollment of the national policy in this area.
6
Annette, Lucy. "Shining a light on the cloud." Impact 2020, no. 8 (December 16, 2020): 46–47. http://dx.doi.org/10.21820/23987073.2020.8.46.
Повний текст джерелаАнотація:
The Social Sciences & Humanities Open Cloud (SSHOC) is a 40-month-long project under the umbrella of the European Open Science Cloud (EOSC) and funded by Horizon 2020. This project unites 20 partner organisations as well as their 27 associates. SSHOC seeks to create interconnected data infrastructures focused on an integrated, cloud-based network structure.
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Annette, Lucy. "Shining a light on the cloud." Impact 2021, no. 2 (February 26, 2021): 99–100. http://dx.doi.org/10.21820/23987073.2021.2.99.
Повний текст джерелаАнотація:
The Social Sciences & Humanities Open Cloud (SSHOC) is a 40-month-long project under the umbrella of the European Open Science Cloud (EOSC) and funded by Horizon 2020. This project unites 20 partner organisations as well as their 27 associates. SSHOC seeks to create interconnected data infrastructures focused on an integrated, cloud-based network structure.
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Budroni, Paolo, and Lisa Hönegger. "Reflections on the regional approach for Open Science in Europe – EOSC-Pillar and the other “5b projects”." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 74, no. 2 (December 10, 2021): 163–70. http://dx.doi.org/10.31263/voebm.v74i2.6282.
Повний текст джерелаАнотація:
The H2020 project “EOSC Pillar” and its three “sister projects” (5b Projects) are an excellent example of how different European projects can effectively participate in the EOSC building process united in a serious, determined effort formalized by a consensual agreement between the projects. The regional approach, responding to individual, regional needs, has demonstrated the importance of jointly addressing challenges related to the European Open Science Cloud in order to reach the diverse and fragmented European research infrastructure landscape. The resulting FAIR data and conclusions are essential building blocks for continuing similar efforts.
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Ilijašić Veršić, Ivana, and Julian Ausserhofer. "Social sciences, humanities and their interoperability with the European Open Science Cloud: What is SSHOC?" Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 72, no. 2 (December 6, 2019): 383–91. http://dx.doi.org/10.31263/voebm.v72i2.3216.
Повний текст джерелаАнотація:
The EC H2020 cluster project SSHOC aims to provide a full-fledged Social Sciences and Humanities Open Cloud where data, tools, and training are available and accessible for users of SSH data. The focus of the project is determined by the goal to further the innovation of infrastructural support for digital scholarship, to stimulate multidisciplinary collaboration across the various subfields of SSH and beyond, and to increase the potential for societal impact. The intention is to create a European open cloud ecosystem for social sciences and humanities, consisting of an infrastructural and human component. SSHOC will encourage secure environments for sharing and using sensitive and confidential data. It will contribute to the Open Science agenda and realization of the European Open Science Cloud (EOSC), as well as contribute to innovations stemming from the coupling of heterogeneous data types and work on the Interoperability principle of FAIR.
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Devouassoux, Marion, Bob Jones, and João Fernandes. "Pre-Commercial Procurement: R&D as a Service for the European Open Science Cloud." EPJ Web of Conferences 245 (2020): 07028. http://dx.doi.org/10.1051/epjconf/202024507028.
Повний текст джерелаАнотація:
The economical and contractual aspects linked to the production use of commercial cloud services are often overlooked in research environments in Europe, preventing researchers from reaping the full benefits of these services. Since 2016, CERN, in collaboration with leading European research institutes, has launched several projects to address this problem. The preparation and execution phases of these projects have revealed key lessons in procuring commercial cloud resources for research environments in Europe. These lessons can help shape the European Open Science Cloud (EOSC) [1].
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Haselwanter, Thomas. "Second EOSCpilot Stakeholders Forum (Wien, 21.–22. November 2018)." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 72, no. 1 (May 17, 2019): 177–83. http://dx.doi.org/10.31263/voebm.v72i1.2285.
Повний текст джерелаАнотація:
Bericht vom letzten “EOSCpilot Stakeholders Forum”, 21. und 22. November 2018 im Austria Center in Wien. Einen Tag vor dem Launch der “European Open Science Cloud” (EOSC) unter österreichischer EU-Ratspräsidentschaft wurde hier vorgestellt, wie weit die Initiativen zur Implementierung dieses ambitionierten Projekts schon gekommen sind. Präsentationen zu Governance und technischer Umsetzung wechselten mit Diskussionen über noch ungeklärte oder unfertige Themen ab und gaben einen Vorgeschmack darauf, wie die ab jetzt “Stakeholders Forum” genannte Veranstaltung zukünftig über die Weiterentwicklung der EOSC mitbestimmen wird.
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Kaiser, Olivia, and Gerda McNeill. "OpenAIRE für Repository ManagerInnen - wie Repository ManagerInnen Open Science unterstützen können." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 72, no. 2 (August 15, 2019): 373–82. http://dx.doi.org/10.31263/voebm.v72i2.2815.
Повний текст джерелаАнотація:
Das EU-Projekt OpenAIRE unterstützt seit 2009 nun bereits im vierten Projektzyklus die Anstrengungen der Europäischen Kommission, wissenschaftliche Ergebnisse zugänglich, wiederverwendbar und offen zu gestalten. Mit der European Open Science Cloud (EOSC) strebt die EU bis 2022 die Schaffung einer Forschungsdatenplattform an, die WissenschafterInnen und Studierenden sowie der Öffentlichkeit zur Verfügung stehen soll. OpenAIRE Advance (2018-2020) ist in den Vorbereitungen zur EOSC mit anderen Projekten involviert und setzt sich hier zum Ziel, den Gedanken von Open Science einerseits zu verankern und andererseits die Infrastruktur zu verstetigen. Die Anbindung von institutionellen oder themenspezifischen Repositorien aus ganz Europa an das OpenAIRE-Portal stellt hierfür eine der Kernaufgaben dar. Schließlich ermöglicht diese eine leichterte Auffindbarkeit von Forschungsoutput und erhöht damit die Sichtbarkeit wissenschaftlicher Leistungen. Im vorliegenden Beitrag werden die Vorteile der Compliancy von institutionellen und disziplinspezifischen Repositorien im Kontext von Open Science diskutiert, es wird auf die technischen Voraussetzungen für eine solche eingegangen und zukünftige sich noch in Planung befindliche Services vorgestellt.
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Currie, Amy, and William Kilbride. "FAIR Forever? Accountabilities and Responsibilities in the Preservation of Research Data." International Journal of Digital Curation 16, no. 1 (September 30, 2021): 16. http://dx.doi.org/10.2218/ijdc.v16i1.768.
Повний текст джерелаАнотація:
Digital preservation is a fast-moving and growing community of practice of ubiquitous relevance, but in which capability is unevenly distributed. Within the open science and research data communities, digital preservation has a close alignment to the FAIR principles and is delivered through a complex specialist infrastructure comprising technology, staff and policy. However, capacity erodes quickly, establishing a need for ongoing examination and review to ensure that skills, technology, and policy remain fit for changing purpose. To address this challenge, the Digital Preservation Coalition (DPC) conducted the FAIR Forever study, commissioned by the European Open Science Cloud (EOSC) Sustainability Working Group and funded by the EOSC Secretariat Project in 2020, to assess the current strengths, weaknesses, opportunities and threats to the preservation of research data across EOSC, and the feasibility of establishing shared approaches, workflows and services that would benefit EOSC stakeholders.
This paper draws from the FAIR Forever study to document and explore its key findings on the identified strengths, weaknesses, opportunities, and threats to the preservation of FAIR data in EOSC, and to the preservation of research data more broadly. It begins with background of the study and an overview of the methodology employed, which involved a desk-based assessment of the emerging EOSC vision, interviews with representatives of EOSC stakeholders, and focus groups with digital preservation specialists and data managers in research organizations. It summarizes key findings on the need for clarity on digital preservation in the EOSC vision and for elucidation of roles, responsibilities, and accountabilities to mitigate risks of data loss, reputation, and sustainability. It then outlines the recommendations provided in the final report presented to the EOSC Sustainability Working Group.
To better ensure that research data can be FAIRer for longer, the recommendations of the study are presented with discussion on how they can be extended and applied to various research data stakeholders in and outside of EOSC, and suggest ways to bring together research data curation, management, and preservation communities to better ensure FAIRness now and in the long term.
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Cojocaru, Igor, Alfreda Rosca, Andrej Rusu, and Mihail Guzun. "Public Research and Innovation Infrastructure of the Republic of Moldova: Challenges and Opportunities." Central and Eastern European eDem and eGov Days 331 (July 11, 2018): 421–30. http://dx.doi.org/10.24989/ocg.v331.35.
Повний текст джерелаАнотація:
Currently the science and innovation area of the Republic of Moldova is undergoing an extensive process of transformation aiming to increase the effectiveness, to facilitate the inclusion of national science into the ERA. Taking into account that the European integration is a major priority for the Republic of Moldova, the public research and innovation sector should comply with the best European and international practices. In this regard, the Republic of Moldova developed Research Strategy till 2020 that provides enhancing the quality and efficiency of administrative processes for implementation of the best innovative measures aiming at the development of human, institutional and infrastructure capabilities. In actual conditions, it is important to align with the European practices, in special with the policies promoted by the European Strategy Forum on Research Infrastructures (ESFRI), which has a key role in policy-making on research infrastructures in Europe, the European Open Science Cloud (EOSC) – a cloud for research data in Europe, background, policy information, events and publications, ERRIS (Engage in the Romanian Research Infrastructures System) - platform for research infrastructures, research & technological services, etc. Nowadays, for science and innovation area of the Republic of Moldova is necessary to build tools for fostering the continuous dialogue between science, Government, society, stimulating the private sector access to research infrastructure, scientific laboratories and results, creating the appropriate conditions for facilitation the process of actual challenges turning into opportunities.
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Devouassoux, Marion, João Fernandes, Bob Jones, Ignacio Peluaga Lozada, and Jakub Urban. "ARCHIVER - Data archiving and preservation for research environments." EPJ Web of Conferences 251 (2021): 02044. http://dx.doi.org/10.1051/epjconf/202125102044.
Повний текст джерелаАнотація:
Over the last decades, several data preservation efforts have been undertaken by the HEP community, as experiments are not repeatable and consequently their data considered unique. ARCHIVER is a European Commission (EC) co-funded Horizon 2020 pre-commercial procurement project procuring R&D combining multiple ICT technologies including data-intensive scalability, network, service interoperability and business models, in a hybrid cloud environment. The results will provide the European Open Science Cloud (EOSC) with archival and preservation services covering the full research lifecycle. The services are co-designed in partnership with four research organisations (CERN, DESY, EMBL-EBI and PIC/IFAE) deploying use cases from Astrophysics, HEP, Life Sciences and Photon-Neutron Sciences creating an innovation ecosystem for specialist data archiving and preservation companies willing to introduce new services capable of supporting the expanding needs of research. The HEP use cases being deployed include the CERN Opendata portal, preserving a second copy of the completed BaBar experiment and the CERN Digital Memory digitising CERN’s multimedia archive of the 20th century. In parallel, ARCHIVER has established an Early Adopter programme whereby additional use cases can be incorporated at each of the project phases thereby expanding services to multiple research domains and countries.
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Bauer, Bruno, and Andreas Ferus. "Österreichische Repositorien in OpenDOAR und re3data.org: Entwicklung und Status von Infrastrukturen für Green Open Access und Forschungsdaten." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 71, no. 1 (July 19, 2018): 70–86. http://dx.doi.org/10.31263/voebm.v71i1.2037.
Повний текст джерелаАнотація:
Der vorliegende Beitrag beleuchtet die Entwicklung und den Status Quo von Repositorien in Österreich. Diese haben mit dem Hochschulraumstrukturmittelprojekt e-Infrastructures Austria einen wichtigen Impuls bekommen. Während in den Jahren nach der „Berliner Erklärung über den offenen Zugang zu wissenschaftlichem Wissen“ (2003) vor allem die Bereiche Publikationen und Green Open Access bearbeitet wurden, rückten in jüngster Zeit insbesondere durch die European Open Science Cloud (EOSC) auch Forschungsdaten zunehmend in den Fokus des Interesses. Dieser Aufschwung spiegelt sich auch in der laufenden Steigerung der im Directory of Open Access Repositories (OpenDOAR) und im Registry of Research Data Repositories (re3data.org) erfassten österreichischen Repositorien wider. Mittels statistischer Auswertungen wurde erhoben, welche Dokumententypen in diesen Repositorien aufgenommen werden, welche Fachgebiete sie repräsentieren, welchen Umfang sie aufweisen, welche Software eingesetzt wird, ob bereits notwendige Schnittstellen (wie z.B. OAI) vorhanden sind und welche Policies für die jeweiligen Repositorien verfolgt werden.
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De Smedt, Koenraad, Dimitris Koureas, and Peter Wittenburg. "FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units." Publications 8, no. 2 (April 11, 2020): 21. http://dx.doi.org/10.3390/publications8020021.
Повний текст джерелаАнотація:
Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mechanisms to efficiently operate in the domain of scientific assertions, (5) turning data into actionable knowledge units and (6) promoting data interoperability. As a way to overcome these challenges, we further develop the proposals by early Internet pioneers for Digital Objects as encapsulations of data and metadata made accessible by persistent identifiers. In the past decade, this concept was revisited by various groups within the Research Data Alliance and put in the context of the FAIR Guiding Principles for findable, accessible, interoperable and reusable data. The basic components of a FAIR Digital Object (FDO) as a self-contained, typed, machine-actionable data package are explained. A survey of use cases has indicated the growing interest of research communities in FDO solutions. We conclude that the FDO concept has the potential to act as the interoperable federative core of a hyperinfrastructure initiative such as the European Open Science Cloud (EOSC).
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Palocci, Caterina, Karl Presser, Agnieszka Kabza, Emilia Pucci, and Claudia Zoani. "A Search Engine Concept to Improve Food Traceability and Transparency: Preliminary Results." Foods 11, no. 7 (March 29, 2022): 989. http://dx.doi.org/10.3390/foods11070989.
Повний текст джерелаАнотація:
In recent years, the digital revolution has involved the agrifood sector. However, the use of the most recent technologies is still limited due to poor data management. The integration, organisation and optimised use of smart data provides the basis for intelligent systems, services, solutions and applications for food chain management. With the purpose of integrating data on food quality, safety, traceability, transparency and authenticity, an EOSC-compatible (European Open Science Cloud) traceability search engine concept for data standardisation, interoperability, knowledge extraction, and data reuse, was developed within the framework of the FNS-Cloud project (GA No. 863059). For the developed model, three specific food supply chains were examined (olive oil, milk, and fishery products) in order to collect, integrate, organise and make available data relating to each step of each chain. For every step of each chain, parameters of interest and parameters of influence—related to nutritional quality, food safety, transparency and authenticity—were identified together with their monitoring systems. The developed model can be very useful for all actors involved in the food supply chain, both to have a quick graphical visualisation of the entire supply chain and for searching, finding and re-using available food data and information.
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Mons, Barend. "Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story) —“EOSC is a bigger ME” and the Dunning Kruger effect." Data Intelligence 3, no. 1 (February 2021): 32–39. http://dx.doi.org/10.1162/dint_a_00074.
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Cesini, Daniele, Giacinto Donvito, Alessandro Costantini, Fernando Aguilar Gomez, Doina Cristina Duma, Patrick Fuhrmann, Lukasz Dutka, et al. "Advancements in data management services for distributed e-infrastructures: the eXtreme-DataCloud project." EPJ Web of Conferences 214 (2019): 04044. http://dx.doi.org/10.1051/epjconf/201921404044.
Повний текст джерелаАнотація:
The development of data management services capable to cope with very large data resources is a key challenge to allow the future einfrastructures to address the needs of the next generation extreme scale scientific experiments. To face this challenge, in November 2017 the H2020 eXtreme DataCloud - XDC project has been launched. Lasting for 27 months and combining the expertise of eight large European research organisations, the project aims at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The targeted platforms are the current and next generation e-Infrastructures deployed in Europe, such as the European Open Science Cloud (EOSC), the European Grid Infrastructure (EGI), and the Worldwide LHC Computing Grid (WLCG). The project is use-case driven with a multidisciplinary approach, addressing requirements from research communities belonging to a wide range of scientific domains: High Energy Physics, Astronomy, Photon and Life Science, Medical research. XDC is aimed at implementing data management scalable services, combining already established data management and orchestration tools, to address the following high level topics: policy driven data management based on Quality-of-Service, Data Life-cycle management, smart placement of data with caching mechanisms to reduce access latency, meta-data with no predefined schema handling, execution of pre-processing applications during ingestion, data management and protection of sensitive data in distributed e-infrastructures, intelligent data placement based on access patterns. This contribution introduces the project, presents the foreseen overall architecture and the developments that are being carried on to implement the requested functionalities.
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Yu, Helen. "The European Open Science Cloud and commercialization." Nature Biotechnology 36, no. 12 (December 2018): 1133–34. http://dx.doi.org/10.1038/nbt.4304.
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Svistunov, S. Ya, P. I. Perkonos, S. V. Subotin, and Ya M. Tverdochlib. "On the way to creating Ukrainian national cloud of open science." PROBLEMS IN PROGRAMMING, no. 3 (September 2021): 027–39. http://dx.doi.org/10.15407/pp2021.03.027.
Повний текст джерелаАнотація:
Modern conditions of science development, which are characterized by a significant increase in the volume of information, require new approaches to computational methods and new approaches to information processing. The article considers approaches to creating conditions and tools based on cloud technologies for more effective cooperation of research teams working on similar scientific problems. The article analyzes the stages of development of the European Open Science Cloud and presents the strategy of building the National Open Science Cloud. The article presents the main results of the development of a common information resource for scientific researches at the National Academy of Sciences of Ukraine, which can be considered as a prototype of the National Open Science Cloud, which integrates into the European Open Science Cloud.
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Bykov, Valerii Yu, and Mariya P. Shyshkina. "THE CONCEPTUAL BASIS OF THE UNIVERSITY CLOUD-BASED LEARNING AND RESEARCH ENVIRONMENT FORMATION AND DEVELOPMENT IN VIEW OF THE OPEN SCIENCE PRIORITIES." Information Technologies and Learning Tools 68, no. 6 (December 27, 2018): 1. http://dx.doi.org/10.33407/itlt.v68i6.2609.
Повний текст джерелаАнотація:
This article explores the scientific and methodological background of the creation and development of the cloud-based learning and research environment in the context of open science priorities and the European Research Area (ERA) formation. The conceptual and terminology body of the cloud-based environment investigation and the main features of such an environment are delineated. The main methodological principles of the environment design and development, for instance, the principles of open science, open education and also the specific principles inherent to the cloud-based systems are described. The study aim is to analyze the conceptual body, principles, and features of the formation and development of the cloud-based educational and research environment in the context of the open science concept. The objective of the study is to determine the prospects of cloud technologies that are used to support educational and scientific activities and to outline the principles and technologies of open science use and explore their broader application in pedagogical systems of higher educational institutions. The research methods are the analysis of official international documents, publications on the research, observation, comparison, the analysis of the experience of the educational and scientific application of cloud technologies, and experimental studies. The results of the research substantiate cloud technologies in the principles of creation and development of the learning and research environment (LRE) of a higher education institution. The concept of the cloud-based environment is explained; the characteristic features of its functioning are outlined. Additionally, the prospects and estimation of the cloud-based LRE development in the aspect of open science are defined. Conclusions and recommendations encompass the application of cloud-based open science technologies covering European research infrastructures, scientific and educational networks, European open science cloud, and also cloud services for collecting, submitting and processing data as a topical and promising trend for the development and modernization of the learning and research environment of higher education institutions.
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Mertikas, P., and K. Karantzalos. "SEAFLOOR MAPPING FROM MULTISPECTRAL MULTIBEAM ACOUSTIC DATA AT THE EUROPEAN OPEN SCIENCE CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 985–90. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-985-2020.
Повний текст джерелаАнотація:
Abstract. Recent technological advances in the underwater sensing instrumentation provide currently active multibeam echosounders that can acquire backscatter observations from multiple spectral frequencies. In this paper, the main objective was to design, develop and validate an efficient and robust multispectral, multibeam data processing framework including advanced machine learning tools for seabed classification. In order to do so, we have integrated different machine learning tools like support vector machines and random forests towards the classification of seabed classes. We have performed extensive experiments with different splitting ratios, regarding training and testing sets, in order to assess possible overfitting. The entire pipeline has been implemented in a scalable containerized manner in order to be deployed in cloud infrastructures and more specifically at the European Open Science Cloud. Experimental results, the performed qualitative and quantitative evaluation along with the comparison with the state of the art indicated the quite promising potential of our approach.
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Bauer, Bruno, and Paolo Budroni. "Open Science: Paolo Budroni beantwortet 10 Fragen von Bruno Bauer zur Bedeutung von Forschungsdatenmanagement sowie zur Entwicklung der European Open Science Cloud." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 73, no. 2 (October 11, 2020): 217–37. http://dx.doi.org/10.31263/voebm.v73i2.4013.
Повний текст джерелаАнотація:
Paolo Budroni ist seit 1991 im universitären Bereich tätig. Zunächst beantwortet er Fragen über seinen beruflichen Zugang zu den Themen Forschungsdokumentation und Forschungsdatenmanagement. Angesprochen werden auch nationale und internationale Projekte und Initiativen zum Forschungsdatenmanagement, wobei der Fokus auf der Darstellung der European Open Science Cloud liegt. Zuletzt richtet Budroni einen Appell an die Bibliotheken, sich verstärkt in die Umsetzung des Konzeptes von Open Science einzubringen.
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Kovalenko, Valentyna, Maiia Marienko, Mariia Shyshkina, and Alisa Sukhikh. "ASSESSMENT OF THE USE OF CLOUD-ORIENTED OPEN SCIENCE SYSTEMS IN THE DOMESTIC EDUCATIONAL SPACE." Educational Discourse: collection of scientific papers, no. 34(6) (June 12, 2021): 62–71. http://dx.doi.org/10.33930/ed.2019.5007.34(6)-6.
Повний текст джерелаАнотація:
The Budapest Open Access Initiative and the Berlin Declaration are analyzed. The main provisions of the policy of the international movement for open access are given. One of the priorities of science development in Ukraine is integration into the European Research Area. 6 priorities of integration of Ukrainian science into the European Research Area are described. A survey of mathematics teachers of advanced training courses of Kryvyi Rih State Pedagogical University and students of the National University of Life and Environmental Sciences in 2020-2021 academic year were conducted. The current state of the use of cloud-oriented systems of open science is clarified. The main factors to be considered for further implementation of these systems in teacher education and their ICT competence increase are identified.
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Bazetska, H., V. Yesina, and T. Pushkar. "FORMATION OF AN OPEN INNOVATION MODEL IN THE CONDITIONS OF DIGITAL TRANSFORMATION OF SOCIETY." Series: Economic science 7, no. 160 (November 27, 2020): 18–25. http://dx.doi.org/10.33042/2522-1809-2020-7-160-18-25.
Повний текст джерелаАнотація:
The active development of globalization and the formation of the information society contribute to the transformation of approaches to innovative activities. The purpose of the article is to consider the formation of an open innovation model in the modern information space. The latest approaches to the openness of knowledge, the creation of platforms for the development of open science, the tendency to increase the openness of research processes are reflected in the concept of open innovation. The model of open innovation provides a new cycle of creation and implementation of an innovative product. This model involves the active use of information about innovative products from the outside, increasing the availability of such information. The open innovation model determines not only the active use of external sources of innovation, but also provides for the increase in the openness of their own developments and the willingness of companies to the fact that at any stage innovation can go beyond the company and be implemented by other business structures. In the EU countries, the concept of open innovation is reflected in the principles defined in the European policy for knowledge transfer and open innovation. The new paradigm of innovations "Open Innovation 2.0" of the EU is the basis for the formation of their model in Ukraine. "Open Innovation 2.0" is based on the model of four spirals, where government, industry, academia and citizens work together to create the future together and carry out structural changes. Knowledge transfer, ecosystem approach, development of structures and mechanisms for exchange of information and experience are identified as the main tools for the development of open innovation. It is defined in the article that the active participation of the country in the European Open Science Cloud and the European Cloud Initiative are important stages in the development of the open innovation model in Ukraine. The European Open Science Cloud is Europe's virtual environment for all researchers to store, manage, analyze and reuse data for research, innovative and educational tasks. The European Open Science Cloud and the European Cloud Initiative are elements of integration into the European Research Area as a basis for access to new knowledge and increasing their openness. The development of the information society in Ukraine contributes to the formation of conditions for the implementation of the main components of the open innovation model defined by the European policy of knowledge transfer and open innovation. The transition to a new perception of innovation, the use of all opportunities to obtain new knowledge in the open scientific space, active participation in the system formation processes for open knowledge transfer in the EU can create a solid foundation for innovative changes in the national economy.
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Bolton, Rosie, Simone Campana, Andrea Ceccanti, Xavier Espinal, Aristeidis Fkiaras, Patrick Fuhrmann, and Yan Grange. "ESCAPE prototypes a data infrastructure for open science." EPJ Web of Conferences 245 (2020): 04019. http://dx.doi.org/10.1051/epjconf/202024504019.
Повний текст джерелаАнотація:
The European-funded ESCAPE project will prototype a shared solution to computing challenges in the context of the European Open Science Cloud. It targets Astronomy and Particle Physics facilities and research infrastructures and focuses on developing solutions for handling Exabyte scale datasets. The DIOS work package aims at delivering a Data Infrastructure for Open Science. Such an infrastructure would be a non HEP specific implementation of the data lake concept elaborated in the HSF Community White Paper and endorsed in the WLCG Strategy Document for HL-LHC. The science projects in ESCAPE are in different phases of evolution. While HL-LHC can leverage 15 years of experience of distributed computing in WLCG, other sciences are building now their computing models. This contribution describes the architecture of a shared ecosystem of services fulfilling the needs in terms of data organisation, management and access for the ESCAPE community. The backbone of such a data lake will consist of several storage services operated by the partner institutes and connected through reliable networks. Data management and organisation will be orchestrated through Rucio. A layer of caching and latency hiding services, supporting various access protocols will serve the data to heterogeneous facilities, from conventional Grid sites to HPC centres and Cloud providers. The authentication and authorisation system will be based on tokens. For the success of the project, DIOS will integrate open source solutions which demonstrated reliability and scalability as at the multi petabyte scale. Such services will be configured, deployed and complemented to cover the use cases of the ESCAPE sciences which will be further developed during the project.
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Koureas, Dimitris. "Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)." Data Intelligence 3, no. 1 (February 2021): 26–28. http://dx.doi.org/10.1162/dint_a_00072.
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Öster, Per. "Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)." Data Intelligence 3, no. 1 (February 2021): 40–42. http://dx.doi.org/10.1162/dint_a_00089.
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Khayyeri, Hanifeh. "Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)." Data Intelligence 3, no. 1 (February 2021): 24–25. http://dx.doi.org/10.1162/dint_a_00071.
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Wittenburg, Peter. "Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)." Data Intelligence 3, no. 1 (February 2021): 47–51. http://dx.doi.org/10.1162/dint_a_00076.
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Strawn, George. "Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)." Data Intelligence 3, no. 1 (2021): 43–46. http://dx.doi.org/10.1162/dint_a_00075.
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Manola, Natalia. "Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)." Data Intelligence 3, no. 1 (February 2021): 29–31. http://dx.doi.org/10.1162/dint_a_00073.
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Mons, Barend, Cameron Neylon, Jan Velterop, Michel Dumontier, Luiz Olavo Bonino da Silva Santos, and Mark D. Wilkinson. "Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud." Information Services & Use 37, no. 1 (March 7, 2017): 49–56. http://dx.doi.org/10.3233/isu-170824.
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Shyshkina, Mariya P., and Maiia V. Marienko. "Augmented reality as a tool for open science platform by research collaboration in virtual teams." Освітній вимір 53, no. 1 (December 19, 2019): 147–58. http://dx.doi.org/10.31812/educdim.v53i1.3838.
Повний текст джерелаАнотація:
The provision of open science is defined as a general policy aimed at overcoming the barriers that hinder the implementation of the European Research Area (ERA). An open science foundation seeks to capture all the elements needed for the functioning of ERA: research data, scientific instruments, ICT services (connections, calculations, platforms, and specific studies such as portals). Managing shared resources for the community of scholars maximizes the benefits to society. In the field of digital infrastructure, this has already demonstrated great benefits. It is expected that applying this principle to an open science process will improve management by funding organizations in collaboration with stakeholders through mechanisms such as public consultation. This will increase the perception of joint ownership of the infrastructure. It will also create clear and non-discriminatory access rules, along with a sense of joint ownership that stimulates a higher level of participation, collaboration and social reciprocity. The article deals with the concept of open science. The concept of the European cloud of open science and its structure are presented. According to the study, it has been shown that the structure of the cloud of open science includes an augmented reality as an open-science platform. An example of the practical application of this tool is the general description of MaxWhere, developed by Hungarian scientists, and is a platform of aggregates of individual 3D spaces.
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Ayris, Paul, and Tiberius Ignat. "Defining the role of libraries in the Open Science landscape: a reflection on current European practice." Open Information Science 2, no. 1 (February 1, 2018): 1–22. http://dx.doi.org/10.1515/opis-2018-0001.
Повний текст джерелаАнотація:
Abstract This collaborative paper looks at how libraries can engage with and offer leadership in the Open Science movement. It is based on case studies and the results of an EU-funded research project on Research Data Management taken from European research-led universities and their libraries. It begins by analysing three recent trends in Science, and then links component parts of the research process to aspects of Open Science. The paper then looks in detail at four areas and identifies roles for libraries: Open Access and Open Access publishing, Research Data Management, E-Infrastructures (especially the European Open Science Cloud), and Citizen Science. The paper ends in suggesting a model for how libraries, by using a 4-step test, can assess their engagement with Open Science. This 4-step test is based on lessons drawn from the case studies.
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Nosenko, Yuliia. "EVOLUTION OF OPEN SCIENCE TOOLS AND TECHNOLOGIES." Scientific Bulletin of Uzhhorod University. Series: «Pedagogy. Social Work», no. 1(48) (May 27, 2021): 293–98. http://dx.doi.org/10.24144/2524-0609.2021.48.293-298.
Повний текст джерелаАнотація:
Building a global information space and Knowledge Society, the European community is developing a priority area for research and innovation policy – the Open Science, which, among other things, provides open access to publications and research results. When developing this direction in Ukraine, it is expedient to take into account the experience of successful countries, global transformations and trends, digital progress, and historical lessons. The article’s purpose is to substantiate the periodization and determine the stages of evolution of open science tools and technologies in the world. The article presents some results of the research within the project «Cloud-oriented systems of open science in teaching and professional development of teachers» (registration number 2020.02/0310) implemented with grant support from the National Research Fund of Ukraine. Theoretical methods are used: historical-pedagogical method, generalization of scientific and scientific-methodical sources, analysis and systematization of concepts, works of Ukrainian and foreign scientists, experts in the field of digitalization of education and science. The periodization of the evolution of open science tools and technologies has been developed. The first stage was characterized by a sharp increase in data and knowledge flows, the emergence of the first initiatives to ensure the availability of scientific and cultural achievements of humankind. The second stage was characterized by the intensification of the process of transition of journals and scientific repositories to the open format, the development and dissemination of software to support open access, the development of cloud computing and Web 2.0 technology. The result of the third period was the intensive development of scientific-educational environments, due to the processes of digitization, increasing trends: open access, archiving of articles, data exchange.
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Drach, Iryna. "Institutional development of universities in the context of the implementation of Open Science concept." International Scientific Journal of Universities and Leadership, no. 11 (June 14, 2021): 211–25. http://dx.doi.org/10.31874/2520-6702-2021-11-1-211-225.
Повний текст джерелаАнотація:
The article analyses the policy and procedures for implementing Open Science concept as a basis for the institutional development of universities. The key events and documents of the European Research Area, which determine the policies and procedures for the development of Open Science, are described. It is concluded that Open Science represents a new approach to the scientific process, based on collaboration and new ways of disseminating knowledge through digital technologies and new tools for collaboration. Open science enhances the quality and impact of research by promoting reproducibility and interdisciplinarity of knowledge; using the open and joint method of production and exchange of knowledge and data in the research process; improving the quality of research, the reliability of the results and the sensitivity of science to the needs of society.
It is determined that the goals of Open Science are: the openness of data; the development of the European Open Science Cloud as a unified ecosystem of research data infrastructures; development of a new generation of indicators for assessing the quality and impact of research, which complement the generally accepted indicators to take into account the openness of scientific practices; free access to all peer-reviewed scientific publications, encouraging an early exchange of various types of scientific results; recognition of openness of scientific activity in systems of evaluation of scientific career of researchers; compliance of all EU-funded research with generally agreed standards of research integrity; European scientists acquire the necessary skills and support to teach Open Science procedures and practices; the opportunity for the general public to make a significant contribution to the production of scientific knowledge in Europe.
The characteristics and indicators of Open Science, which determine the directions of institutional development of universities, are analysed. The characteristics of Open Science include open data; open academic communication; open access to publications. Indicators of open research data are repositories of research data; funding policy for data sharing; the researcher's attitude to data sharing; indicators of open academic communication - open expert feedback; the journal's policy on open expert feedback; use of altmetric platforms; correction and revocation; open access to publications indicators - open access publication; preprints; alternative publishing platforms; open access funding policy; the journal's open access policy; the researcher's attitude to open access.
The goals of Open Science are focused on the openness of data; the development of European Open Science Cloud as a unified ecosystem of research data infrastructures; development of new generation indicators for assessing the quality and impact of research, which complement the generally accepted indicators to take into account the openness of scientific practices; free access to all peer-reviewed scientific publications, encouragement of early exchange of various types of scientific results; recognition of openness of scientific activity in systems of evaluation of scientific career of researchers; compliance of all EU-funded research with generally agreed standards of research integrity; European scientists acquire the necessary skills and support to teach Open Science procedures and practices; the opportunity for the general public to make a significant contribution to the production of scientific knowledge in Europe.
The key provisions and promising areas of EU policy on the development of Open Science are analysed. Emphasis is laid on the importance of supporting universities at the national and European levels for the large-scale implementation of the practice of Open Science.
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Eirund, Gesa K., Anna Possner, and Ulrike Lohmann. "Response of Arctic mixed-phase clouds to aerosol perturbations under different surface forcings." Atmospheric Chemistry and Physics 19, no. 15 (August 2, 2019): 9847–64. http://dx.doi.org/10.5194/acp-19-9847-2019.
Повний текст джерелаАнотація:
Abstract. The formation and persistence of low-lying mixed-phase clouds (MPCs) in the Arctic depends on a multitude of processes, such as surface conditions, the environmental state, air mass advection, and the ambient aerosol concentration. In this study, we focus on the relative importance of different instantaneous aerosol perturbations (cloud condensation nuclei and ice-nucleating particles; CCN and INPs, respectively) on MPC properties in the European Arctic. To address this topic, we performed high-resolution large-eddy simulation (LES) experiments using the Consortium for Small-scale Modeling (COSMO) model and designed a case study for the Aerosol-Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) campaign in March 2013. Motivated by ongoing sea ice retreat, we performed all sensitivity studies over open ocean and sea ice to investigate the effect of changing surface conditions. We find that surface conditions highly impact cloud dynamics, consistent with the ACCACIA observations: over sea ice, a rather homogeneous, optically thin, mixed-phase stratus cloud forms. In contrast, the MPC over the open ocean has a stratocumulus-like cloud structure. With cumuli feeding moisture into the stratus layer, the cloud over the open ocean features a higher liquid (LWP) and ice water path (IWP) and has a lifted cloud base and cloud top compared to the cloud over sea ice. Furthermore, we analyzed the aerosol impact on the sea ice and open ocean cloud regime. Perturbation aerosol concentrations relevant for CCN activation were increased to a range between 100 and 1000 cm−3 and ice-nucleating particle perturbations were increased by 100 % and 300 % compared to the background concentration (at every grid point and at all levels). The perturbations are prognostic to allow for fully interactive aerosol–cloud interactions. Perturbations in the INP concentration increase IWP and decrease LWP consistently in both regimes. The cloud microphysical response to potential CCN perturbations occurs faster in the stratocumulus regime over the ocean, where the increased moisture flux favors rapid cloud droplet formation and growth, leading to an increase in LWP following the aerosol injection. In addition, IWP increases through new ice crystal formation by increased immersion freezing, cloud top rise, and subsequent growth by deposition. Over sea ice, the maximum response in LWP and IWP is delayed and weakened compared to the response over the open ocean surface. Additionally, we find the long-term response to aerosol perturbations to be highly dependent on the cloud regime. Over the open ocean, LWP perturbations are efficiently buffered after 18 h simulation time. Increased ice and precipitation formation relax the LWP back to its unperturbed range. On the contrary, over sea ice the cloud evolution remains substantially perturbed with CCN perturbations ranging from 200 to 1000 CCN cm−3.
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Delgado Blasco, José Manuel, Antonio Romeo, David Heyns, Joao Fernandes, Rob Carrillo, Natassa Antoniou, Lefteris Mamais, and Marc-Elian Begin. "The H2020 OCRE Project Opens the Gates of the Commercial Cloud and EO Services Usage to the Research Community." Emerging Science Journal 4, no. 2 (April 1, 2020): 89–103. http://dx.doi.org/10.28991/esj-2020-01213.
Повний текст джерелаАнотація:
Cloud and Earth Observation (EO) based services offer the European Research community a wealth of powerful tools. However, for many researchers these tools are currently out of reach. It is difficult to find and select suitable services. Establishing agreements with cloud and EO service providers and ensuring legal and technical compliance requires specialist skills and takes an inordinate amount of time. Equally, service providers find it difficult to reach and meet the needs of the research community in technical, financial and legal areas. The Open Clouds for Research Environments consortium (OCRE) will change this, by putting in place an easy adoption route. In the autumn of 2019, OCRE will run a pan-European tender and establish framework agreements with service providers who meet the requirements of the research community. 10.000 European research and education institutes will be able to directly consume these offerings via the European Open Science Cloud service catalogue, through ready-to-use agreements. They will not have to run a tender of their own. In addition, to stimulate usage, OCRE will make available 9.5 million euro in service credits (vouchers), through adoption funds from the European Commission. OCRE is a pioneer project without precedence, with potentially high impact in the future EO market activities and evolution of service offering, with the objective to burst the usage of EO commercial services by the research environment.
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Wang, Haoran, Andrew R. Klekociuk, W. John R. French, Simon P. Alexander, and Tom A. Warner. "Measurements of Cloud Radiative Effect across the Southern Ocean (43° S–79° S, 63° E–158° W)." Atmosphere 11, no. 9 (September 5, 2020): 949. http://dx.doi.org/10.3390/atmos11090949.
Повний текст джерелаАнотація:
The surface radiation environment over the Southern Ocean within the region bound by 42.8° S to 78.7° S and 62.6° E to 157.7° W is summarised for three austral summers. This is done using ship-based measurements with the combination of downwelling radiation sensors and a cloud imager. We focus on characterising the cloud radiative effect (CRE) under a variety of conditions, comparing observations in the open ocean with those in the sea ice zone. For comparison with our observed data, we obtained surface data from the European Centre for Medium-Range Weather Forecasts fifth reanalysis (ERA5). We found that the daily average cloud fraction was slightly lower in ERA5 compared with the observations (0.71 and 0.75, respectively). ERA5 also showed positive biases in the shortwave radiation effect and a negative bias in the longwave radiation effect. The observed mean surface CRE of −164 ± 100 Wm−2 was more negative than the mean surface CRE for ERA5 of −101 W m−2.
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Lahiff, Andrew, Shaun de Witt, Miguel Caballer, Giuseppe La Rocca, Stanislas Pamela, and David Coster. "Running HTC and HPC applications opportunistically across private, academic and public clouds." EPJ Web of Conferences 245 (2020): 07032. http://dx.doi.org/10.1051/epjconf/202024507032.
Повний текст джерелаАнотація:
The Fusion Science Demonstrator in the European Open Science Cloud for Research Pilot Project aimed to demonstrate that the fusion community can make use of distributed cloud resources. We developed a platform, Prominence, which enables users to transparently exploit idle cloud resources for running scientific workloads. In addition to standard HTC jobs, HPC jobs such as multi-node MPI are supported. All jobs are run in containers to ensure they will reliably run anywhere and are reproduceable. Cloud infrastructure is invisible to users, as all provisioning, including extensive failure handling, is completely automated. On-premises cloud resources can be utilised and at times of peak demand burst onto external clouds. In addition to the traditional “cloud-bursting” onto a single cloud, Prominence allows for bursting across many clouds in a hierarchical manner. Job requirements are taken into account, so jobs with special requirements, e.g. high memory or access to GPUs, are sent only to appropriate clouds. Here we describe Prominence, its architecture, the challenges of using many clouds opportunistically and report on our experiences with several fusion use cases.
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Uiterwaal, Frank, Franco Niccolucci, Sheena Bassett, Steven Krauwer, Hella Hollander, Femmy Admiraal, Laurent Romary, et al. "From Disparate Disciplines to Unity in Diversity: How the PARTHENOS Project Has Brought European Humanities Research Infrastructures Together." International Journal of Humanities and Arts Computing 15, no. 1-2 (October 2021): 101–16. http://dx.doi.org/10.3366/ijhac.2021.0264.
Повний текст джерелаАнотація:
Since the first ESFRI roadmap in 2006, multiple humanities Research Infrastructures (RIs) have been set up all over the European continent, supporting archaeologists (ARIADNE), linguists (CLARIN-ERIC), Holocaust researchers (EHRI), cultural heritage specialists (IPERION-CH) and others. These examples only scratch the surface of the breadth of research communities that have benefited from close cooperation in the European Research Area. While each field developed discipline-specific services over the years, common themes can also be distinguished. All humanities RIs address, in varying degrees, questions around research data management, the use of standards and the desired interoperability of data across disciplinary boundaries. This article sheds light on how cluster project PARTHENOS developed pooled services and shared solutions for its audience of humanities researchers, RI managers and policymakers. In a time where the convergence of existing infrastructure is becoming ever more important – with the construction of a European Open Science Cloud as an audacious, ultimate goal – we hope that our experiences inform future work and provide inspiration on how to exploit synergies in interdisciplinary, transnational, scientific cooperation.
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Di Maria, Riccardo, and Rizart Dona. "ESCAPE Data Lake." EPJ Web of Conferences 251 (2021): 02056. http://dx.doi.org/10.1051/epjconf/202125102056.
Повний текст джерелаАнотація:
The European-funded ESCAPE project (Horizon 2020) aims to address computing challenges in the context of the European Open Science Cloud. The project targets Particle Physics and Astronomy facilities and research infrastructures, focusing on the development of solutions to handle Exabyte-scale datasets. The science projects in ESCAPE are in different phases of evolution and count a variety of specific use cases and challenges to be addressed. This contribution describes the shared-ecosystem architecture of services, the Data Lake, fulfilling the needs in terms of data organisation, management, and access of the ESCAPE community. The Pilot Data Lake consists of several storage services operated by the partner institutes and connected through reliable networks, and it adopts Rucio to orchestrate data management and organisation. The results of a 24-hour Full Dress Rehearsal are also presented, highlighting the achievements of the Data Lake model and of the ESCAPE sciences.
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Mons, Barend. "FAIR Science for Social Machines: Let's Share Metadata Knowlets in the Internet of FAIR Data and Services." Data Intelligence 1, no. 1 (March 2019): 22–42. http://dx.doi.org/10.1162/dint_a_00002.
Повний текст джерелаАнотація:
In a world awash with fragmented data and tools, the notion of Open Science has been gaining a lot of momentum, but simultaneously, it caused a great deal of anxiety. Some of the anxiety may be related to crumbling kingdoms, but there are also very legitimate concerns, especially about the relative role of machines and algorithms as compared to humans and the combination of both (i.e., social machines). There are also grave concerns about the connotations of the term “open”, but also regarding the unwanted side effects as well as the scalability of the approaches advocated by early adopters of new methodological developments. Many of these concerns are associated with mind-machine interaction and the critical role that computers are now playing in our day to day scientific practice. Here we address a number of these concerns and provide some possible solutions. FAIR (machine-actionable) data and services are obviously at the core of Open Science (or rather FAIR science). The scalable and transparent routing of data, tools and compute (to run the tools on) is a key central feature of the envisioned Internet of FAIR Data and Services (IFDS). Both the European Commission in its Declaration on the European Open Science Cloud, the G7, and the USA data commons have identified the need to ensure a solid and sustainable infrastructure for Open Science. Here we first define the term FAIR science as opposed to Open Science. In FAIR science, data and the associated tools are all Findable, Accessible under well defined conditions, Interoperable and Reusable, but not necessarily “open”; without restrictions and certainly not always “gratis”. The ambiguous term “open” has already caused considerable confusion and also opt-out reactions from researchers and other data-intensive professionals who cannot make their data open for very good reasons, such as patient privacy or national security. Although Open Science is a definition for a way of working rather than explicitly requesting for all data to be available in full Open Access, the connotation of openness of the data involved in Open Science is very strong. In FAIR science, data and the associated services to run all processes in the data stewardship cycle from design of experiment to capture to curation, processing, linking and analytics all have minimally FAIR metadata, which specify the conditions under which the actual underlying research objects are reusable, first for machines and then also for humans. This effectively means that—properly conducted—Open Science is part of FAIR science. However, FAIR science can also be done with partly closed, sensitive and proprietary data. As has been emphasized before, FAIR is not identical to “open”. In FAIR/Open Science, data should be as open as possible and as closed as necessary. Where data are generated using public funding, the default will usually be that for the FAIR data resulting from the study the accessibility will be as high as possible, and that more restrictive access and licensing policies on these data will have to be explicitly justified and described. In all cases, however, even if the reuse is restricted, data and related services should be findable for their major uses, machines, which will make them also much better findable for human users. With a tendency to make good data stewardship the norm, a very significant new market for distributed data analytics and learning is opening and a plethora of tools and reusable data objects are being developed and released. These all need FAIR metadata to be routed to each other and to be effective.
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Drakos, Andreas, Vassilis Protonotarios, and Nikos Manouselis. "agINFRA: a research data hub for agriculture, food and the environment." F1000Research 4 (June 15, 2015): 127. http://dx.doi.org/10.12688/f1000research.6349.2.
Повний текст джерелаАнотація:
The agINFRA project (www.aginfra.eu) was a European Commission funded project under the 7th Framework Programme that aimed to introduce agricultural scientific communities to the vision of open and participatory data-intensive science. agINFRA has now evolved into the European hub for data-powered research on agriculture, food and the environment, serving the research community through multiple roles.Working on enhancing the interoperability between heterogeneous data sources, the agINFRA project has left a set of grid- and cloud- based services that can be reused by future initiatives and adopted by existing ones, in order to facilitate the dissemination of agricultural research, educational and other types of data. On top of that, agINFRA provided a set of domain-specific recommendations for the publication of agri-food research outcomes. This paper discusses the concept of the agINFRA project and presents its major outcomes, as adopted by existing initiatives activated in the context of agricultural research and education.
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Long, Cu Kim, Rashmi Agrawal, Ha Quoc Trung, and Hai Van Pham. "A big data framework for E-Government in Industry 4.0." Open Computer Science 11, no. 1 (January 1, 2021): 461–79. http://dx.doi.org/10.1515/comp-2020-0191.
Повний текст джерелаАнотація:
Abstract The next generation of E-Government and healthcare has the potential to increase the more intelligent governance with improvements in transparency, accountability, efficiency, and effectiveness. It enables organizations to use the benefits of information via big data analysis to settle the difficulties effectively. Big Data has emerged which plays a significant role in many sectors around the world. Global trends in taking advantage of the benefits from big data are considered with an overview of the US, European Union, and several developing countries. To deeply understand the utilization of big data in several domains, this study has presented a brief survey of key concepts (such as IoT-enabled data, blockchain-enabled data, and intelligent systems data) to deeply understand the utilization of big data in several domains. Our analysis sets out also the similarities and differences in these concepts. We have also surveyed state-of-the-art technologies including cloud computing, multi-cloud, webservice, and microservice which are used to exploit potential benefits of big data analytics. Furthermore, some typical big data frameworks are surveyed and a big data framework for E-Government is also proposed. Open research questions and challenges are highlighted (for researchers and developers) following our review. Our goal in presenting the novel concepts presented in this article is to promote creative ideas in the research endeavor to perform efficaciously next-generation E-Government in the context of Industry 4.0.
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Balaban, Igor, and Aleksandra Sobodić. "From Teachers’ Perspective: Can an Online Digital Competence Certification System Be Successfully Implemented in Schools?" Applied Sciences 12, no. 8 (April 8, 2022): 3785. http://dx.doi.org/10.3390/app12083785.
Повний текст джерелаАнотація:
This study aims to assess the implementation effectiveness of the online platform for digital competence (DC) certification in schools. The testing platform was a prototype of a DC certification system developed and piloted during 2019 in primary and secondary schools in six European countries involving more than 800 teachers and 6000 students. The study resulted in positive proof that the effective integration and evaluation of the DC acquisition, evaluation, and certification within formal curricula in primary and secondary schools is possible. In addition, it was confirmed that information quality is a significant predictor of the impact on the platform end-users. In contrast, the quality of service is not a significant predictor of a successful implementation of the cloud-based platform with an intuitive user interface and proper online help, i.e., massive open online courses (MOOCs). Furthermore, the developed instrument can help schools implement and assess platforms for DC certification and help policymakers pursue and monitor the implementation of such platforms in schools.
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Bauer, Bruno, Paolo Budroni, Andreas Ferus, Raman Ganguly, Eva Ramminger, and Barbara Sánchez Solís. "e-Infrastructures Austria 2016: Bericht über das dritte Jahr des Hochschulraumstrukturmittelprojekts für den koordinierten Aufbau und die kooperative Weiterentwicklung von Repositorieninfrastrukturen." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 70, no. 1 (May 13, 2017): 66–93. http://dx.doi.org/10.31263/voebm.v70i1.1834.
Повний текст джерелаАнотація:
Im letzten Jahr des vom Bundesministerium für Wissenschaft, Forschung und Wirtschaft auf drei Jahre geförderten HRSM-Projektes e-Infrastructures Austria konnten die drei Teilprojekte erfolgreich zu Ende geführt werden. An 25 Partnereinrichtungen wurden als In-Kind-Leistungen Repositorien aufgebaut bzw. sind derzeit in Planung. 2016 wurde von einer ExperInnengruppe eine Muster-Policy für Forschungsdatenmanagement; an einzelnen der Partnereinrichtungen wurden Forschungsdatenmanagementpläne erprobt. Das Ziel, Fortbildung und Vernetzung für Forschungsdatenmanagement zu ermöglichen, wurde im Berichtsjahr in Form von Workshops zu den Themen Metadaten und Langzeitarchivierung und insbesondere durch ein viertätiges Seminar für den professionellen Umgang mit Forschungsdaten erfolgreich umgesetzt. Es ist sehr erfreulich, dass mit dem Projektende von e-Infrastructures Austria das Thema Forschungsdatenmanagement nicht wieder aus dem Blickfeld der Universitäten und Forschungseinrichtungen geraten wird, sondern vielmehr – in mehreren Projekten – dieses Thema ab 2017 weiterentwickelt wird. Neben dem Folgeprojekt e-Infrastructures Austria Plus, an dem sich neun Institutionen beteiligen werden, widmen sich noch acht weitere öffentlich geförderte Projekte dem Thema Open Science. Gemeinsam bilden sie den Use Case Austria im Rahmen der European Open Science Cloud.