000835994 001__ 835994
000835994 005__ 20210129230844.0
000835994 0247_ $$2doi$$a10.23919/MIPRO.2017.7973425
000835994 020__ $$a978-953-233-090-8
000835994 037__ $$aFZJ-2017-05119
000835994 041__ $$aEnglish
000835994 1001_ $$0P:(DE-Juel1)128756$$avon St. Vieth, Benedikt$$b0$$eCorresponding author$$ufzj
000835994 1112_ $$a2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics$$cOpatija$$d2017-05-22 - 2017-05-26$$gMIPRO 2017$$wCroatia
000835994 245__ $$aTowards Flexible Open Data Management Solutions
000835994 260__ $$aRijeka, Croatia$$bCroatian Society for Information and Communication Technology, Electronics and Microelectronics MIPRO$$c2017
000835994 29510 $$a2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) - Proceedings
000835994 300__ $$a233-237
000835994 3367_ $$2ORCID$$aCONFERENCE_PAPER
000835994 3367_ $$033$$2EndNote$$aConference Paper
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000835994 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1501223447_5919
000835994 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000835994 520__ $$aMany data sharing initiatives emerged in the recent time. There are various driving factors behind this phenomena subsumed under the terms Open Data and Open Research. The most prominent one is the fact that more and more funding agencies request publishing of all project results including data. Publishing and sharing data enables the verification of obtained results by facilitating repeatability and reproducibility. Also economical aspects are important: Data reuse can reduce the research costs, and redoing of the same experimental work can be avoided (provided sufficient visibility of earlier results). Publishing or Open Data is also contributing to researcher's visibility and reputation. The implementation of data sharing is, however, quite challenging. It demands both storage technologies and services that can deal with the increasing amounts of data in an efficient and cost-effective way while remaining user-friendly and future-proof. We describe the architecture of a data management solution that is able to provide a scalable, extensible, yet cost-effective storage engine with several replication mechanisms. For the sake of user-friendliness and high data visibility, the solution has a mechanism to create flexible namespaces for a efficient organization, searching, and retrieving of the data. Such namespaces can be tailored to the researchers' needs, potential facilitating data reuse across community borders. The presented architecture embodies our experiences gathered in the EU-funded project EUDAT2020.
000835994 536__ $$0G:(DE-HGF)POF3-512$$a512 - Data-Intensive Science and Federated Computing (POF3-512)$$cPOF3-512$$fPOF III$$x0
000835994 536__ $$0G:(EU-Grant)654065$$aEUDAT2020 - EUDAT2020 (654065)$$c654065$$fH2020-EINFRA-2014-2$$x1
000835994 7001_ $$0P:(DE-Juel1)144343$$aRybicki, Jedrzej$$b1$$ufzj
000835994 7001_ $$0P:(DE-HGF)0$$aBrzeźniak, Maciej$$b2
000835994 773__ $$a10.23919/MIPRO.2017.7973425
000835994 909CO $$ooai:juser.fz-juelich.de:835994$$pec_fundedresources$$pVDB$$popenaire
000835994 9141_ $$y2017
000835994 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)128756$$aForschungszentrum Jülich$$b0$$kFZJ
000835994 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144343$$aForschungszentrum Jülich$$b1$$kFZJ
000835994 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aPoznań Supercomputing and Networking Center (PSNC)$$b2
000835994 9131_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vData-Intensive Science and Federated Computing$$x0
000835994 920__ $$lno
000835994 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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000835994 980__ $$aI:(DE-Juel1)JSC-20090406
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