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100 1 _ |0 P:(DE-Juel1)177087
|a Hanke, Michael
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245 _ _ |a In defense of decentralized research data management
260 _ _ |a Berlin
|b De Gruyter
|c 2021
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500 _ _ |a This article was funded by NationalScience Foundation (BMBF 01GQ1905; NSF 1912266),European Union’s Horizon 2020 under grant agreementno. 826421 (VirtualBrainCloud), and 945539 (HBP SGA3),Microsoft Faculty Fellowship, National Institutes of Health,National Institute of Mental Health under Award NumberR01MH096906, Canada First Research Excellence Fund,Health Canada, Bundesministerium für Bildung undForschung, and National Institute of Biomedical Imagingand Bioengineering.
520 _ _ |a Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.
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|a Halchenko, Yaroslav O.
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|t Neuroforum
|v 27
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|y 2021
856 4 _ |u https://juser.fz-juelich.de/record/888287/files/APC600169206.pdf
856 4 _ |u https://juser.fz-juelich.de/record/888287/files/%5B23637013%20-%20Neuroforum%5D%20In%20defense%20of%20decentralized%20research%20data%20management.pdf
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