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Big Data in Science and the EUDAT Project

Wolfgang Gentzsch, Damien Lecarpentier, Peter Wittenburg
2014 2014 Annual SRII Global Conference  
The EUDAT data services EUDAT has been reviewing the approaches and requirements of a first subset of communities from linguistics (CLARIN), earth sciences (EPOS), climate sciences (ENES), environmental  ...  by the project.  ... 
doi:10.1109/srii.2014.34 dblp:conf/srii/GentzschLW14 fatcat:jfnq2l7emvfj3agddn3hko4bjm

ICEDIG - Data Management Plan

Saarenmaa Hannu, Agosti Donat, Chagnoux Simon, Van Egmond Emily, Groom Quenting, Hardisty Alex
2018 Zenodo  
ICEDIG will also deploy large volumes of already existing research data in order to explore how it can best be pooled in the available European Open Science Cloud infrastructures.  ...  data freely and openly available following the FAIR principles (data being Findable, Accessible, Interoperable, and Re-usable).  ...  In the case of EUDAT, agreements of long term preservation have not been made because we are only carrying out temporary tests of data flows in and out of the EUDAT infrastructure.  ... 
doi:10.5281/zenodo.3364522 fatcat:uycfaw3werb4dozu6qnyukt6ya

The LEXIS approach to Searching and Managing FAIR Research Data in Converged HPC-Cloud-Big Data Architectures

Stephan Hachinger, Jan Martinovic, Olivier Terzo, Cédric Koch-Hofer, Martin Golasowski, Mohamad Hayek, Marc Levrier, Alberto Scionti, Donato Magarielli, Thierry Goubier, Antonio Parodi, Sean Murphy (+5 others)
2019 Zenodo  
Appeared in: Open Search Symposium 2019, 23-24 October 2019, Garching / Munich, Germany.  ...  In this "Big Data" setting, the LEXIS project (Large-scale EXecution for Industry & Society) provides a platform for optimised execution of Cloud-HPC workflows, reducing computation time and energy efficiency  ...  The "LEXIS Data System" constitutes the data back-end for the project.  ... 
doi:10.5281/zenodo.3565343 fatcat:3pk2bg372zepnnzipok4rhrcly

A data infrastructure reference model with applications: towards realization of a ScienceTube vision with a data replication service

Morris Riedel, Peter Wittenburg, Johannes Reetz, Mark van de Sanden, Jedrzej Rybicki, Benedikt von St Vieth, Giuseppe Fiameni, Giacomo Mariani, Alberto Michelini, Claudio Cacciari, Willem Elbers, Daan Broeder (+17 others)
2013 Journal of Internet Services and Applications  
This paper will describe how a well-focused use case around data replication and its related activities in the EUDAT project aim to provide a first step towards this vision.  ...  that the EUDAT activities are bottom-up thus providing real solutions towards the so often only described 'high-level big data challenges'.  ...  Acknowledgements This work is partially funded by the EUDAT project that is co-funded by the EC 7th Framework Programme (Grant Agreement no: 283304). Author details  ... 
doi:10.1186/1869-0238-4-1 fatcat:wq5xiuj56ffvvmkqm7vl2fas7u

Big Data in Agricultural and Food Research: Challenges and Opportunities of an integrated Big Data e-Infrastructure [chapter]

Pythagoras Karampiperis, Rob Lokers, Pascal Neveu, Odile Hologne, George Kakaletris, Leonardo Candela, Matthias Filter, Nikos Manouselis, Maritina Stavrakaki, Panagiotis Zervas
2018 Zenodo  
Agricultural and food research are increasingly becoming fields where data acquisition, processing, and analytics play a major role in the provision and application of novel methods in the general context  ...  in a scalable and efficient fashion.  ...  ACKNOWLEDGEMENTS The work presented in this chapter has been partly supported by the AGINFRAPLUS Project that is funded by the European Commission's Horizon 2020 research and innovation programme under  ... 
doi:10.5281/zenodo.1473525 fatcat:7jydrckelvc53cezwouxo6q4le

ECAS: a data science environment for climate change in the EGI federated infrastructure

Fabrizio Antonio, Donatello Elia, Sandro Fiore
2020 Zenodo  
Presented in May 2020 at the EOSC-hub week 2020 The ENES Climate Analytics Service (ECAS), proposed by CMCC & DKRZ in the EU H2020 EOSC-Hub project, supports climate data analysis experiments with a strong  ...  It is one of the EOSC-Hub Thematic Services as well as a Compute Service in the IS-ENES3 project.  ...  Acknowledgment These activities are supported in part by EOC-Hub and IS-ENES3 projects: EOSC-hub receives funding from the European Union's Horizon 2020 research and innovation programme under grant  ... 
doi:10.5281/zenodo.3961476 fatcat:ds263yuwpnhgpmbwdlszugljhe

Big Data In Agricultural And Food Research: Challenges And Opportunities Of An Integrated Big Data E-Infrastructure [chapter]

Karampiperis, Pythagoras; Lokers, Rob; Neveu, Pascal; Hologne, Odile; Kakaletris, George; Candela, Leonardo; Filter, Matthias; Manouselis, Nikos; Stavrakaki, Maritina; Zervas, Panagiotis
2018 Zenodo  
Agricultural and food research are increasingly becoming fields where data acquisition, processing, and analytics play a major role in the provision and application of novel methods in the general context  ...  in a scalable and efficient fashion.  ...  ACKNOWLEDGEMENTS The work presented in this chapter has been partly supported by the AGINFRAPLUS Project that is funded by the European Commission's Horizon 2020 research and innovation programme under  ... 
doi:10.5281/zenodo.1304238 fatcat:wv5ufpckbfaihlflpsio5pdane

Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)

Peter Wittenburg
2021 Data Intelligence  
RI (European Research Infrastructure for Language Resources and Technology) and later the cross-disciplinary EUDAT data infrastructure [1, 2, 3].  ...  Realising the huge heterogeneity in data practices, it was also a logical step to start the Research Data Alliance (RDA) [4] as a truly bottom-up initiative to discuss harmonisation across disciplines  ...  Having used the cloud Comments to Jean-Claude Burgelman's article Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story) metaphor in EOSC was probably a big error  ... 
doi:10.1162/dint_a_00076 fatcat:jedtoltdtjbp5lswwhzeo62nem

EOSC-hub D13.4 Periodical assessment of the services

Małgorzata Krakowian
2021 Zenodo  
to the EOSC-hub services that shows a remarkable growth of all these metrics during the project lifetime.  ...  The report provides assessment and statistics of services provided under virtual access.  ...  ) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale," 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 3226-3234. doi: 10.1109/BigData.2018.8622205  ... 
doi:10.5281/zenodo.5027405 fatcat:5sj7gfcmtfhy7efbdfhs4fq33i

An Overview of Research Infrastructures in Europe - and Recommendations to LIBER

Norbert Lossau
2012 Liber Quarterly: The Journal of European Research Libraries  
The cross-disciplinary dimension in handling research data makes EUDAT special.  ...  EGI.eu[22] (2010–2014), a foundation under Dutch law, was created in 2010 and has its history in the EGEE project (Enabling Grid for e-Science, 2004–2009)[23] and the DataGrid Project (2001–2004)[24].  ... 
doi:10.18352/lq.8028 fatcat:4ozagodtofe53ej7o6smn2ziva

EOSC-hub D13.3 Periodical assessment of the services

Małgorzata Krakowian
2021 Zenodo  
to the EOSC-hub services that shows a remarkable growth of all these metrics during the project lifetime.  ...  The report provides assessment and statistics of services provided under virtual access.  ...  ) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale," 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 3226-3234. doi: 10.1109/BigData.2018.8622205  ... 
doi:10.5281/zenodo.5033485 fatcat:ihqjxp2vb5ch3ktmo3j4pt6hue

Towards Federated Service Discovery and Identity Management in Collaborative Data and Compute Cloud Infrastructures

Shiraz Memon, Jensen Jens, Elbers Willem, Helmut Neukirchen, Matthias Book, Morris Riedel
2018 Journal of Grid Computing  
"Towards federated service discovery and identity management in collaborative data and compute cloud infrastructures.  ...  The aim is to jointly provide services to the user communities, and, perhaps eventually, seamlessly interoperate.  ...  Acknowledgements EUDAT2020 is funded by the EU Framework H2020 -DG CONNECT e-Infrastructures, contract no. 654065 -(Part of) the work reported here was made possible by using the CLARIN infrastructure.  ... 
doi:10.1007/s10723-018-9445-3 fatcat:piypxizqs5f63aieak4sgzvytq

D6.1: e-Infrastructure Gap Analysis [article]

Geneviève Romier, Xavier Jeannin, Mauro Campanella, Cristina Duma
2017 Zenodo  
The work is mainly based on a questionnaire sent to a set of e-infrastructures, to the Science Demonstrators and communities related to the long tail of Science.  ...  policies, knowledge of the e-infrastructures landscape, adoption) and, based on the analysis done, a first list of initiatives and projects to collaborate with.  ...  We also plan to use cloud services to deploy data analysis pipelines for astronomical "big data" projects currently in the development stages.  ... 
doi:10.5281/zenodo.3393873 fatcat:c745hg44kfhbpfy656vs74nhx4

Licenses For Research Data [article]

Torsten Rathmann
2018 Zenodo  
It will also discuss the difficulties involved in excluding commercial use and publishing modified data.  ...  This text explains why it is important to license publicly available research data and provides an overview of the free Creative Commons licenses available.  ...  For many researchers the services of RADAR or EUDAT may be useful, since RADAR and EUDAT are open for all research communities. EUDAT The European project EUDAT provides several services.  ... 
doi:10.5281/zenodo.1463156 fatcat:qt634dtrizeopbd4mwbuwzuzpi

A Python-oriented environment for climate experiments at scale in the frame of the European Open Science Cloud

D. Elia, F. Antonio, C. Palazzo, P. Nassisi, S. Bendoukha, R. Kwee-Hinzmann, S. Fiore, T. Weigel, H. Thiemann, G. Aloisio
2020 Zenodo  
Presentation given at the EGU 2020.  ...  Acknowledgment These activities are supported in part by EOC-Hub and IS-ENES3 projects:  ...  Aloisio, "Ophidia: toward big data analytics for escience", ICCS 2013✔ PyOphidia provides a Python interface to submit commands to the Ophidia Server and to retrieve/deserialize the results (e.g. in Jupyter  ... 
doi:10.5281/zenodo.3896196 fatcat:tufn3podcnea3hytnsfoaulqoi
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