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001041715 005__ 20250506202214.0
001041715 037__ $$aFZJ-2025-02400
001041715 1001_ $$0P:(DE-HGF)0$$aHachinger, Stephan$$b0
001041715 1112_ $$aTowards exascale-ready astrophysics$$conline$$d2024-09-25 - 2024-09-27$$gTERA24$$wOnline
001041715 245__ $$aTowards FAIR astrophysical simulations: what, why, how? — Status and ways forward
001041715 260__ $$c2024
001041715 3367_ $$033$$2EndNote$$aConference Paper
001041715 3367_ $$2DataCite$$aOther
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001041715 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1746534526_14847$$xAfter Call
001041715 520__ $$aScientific work needs to be reproducible, which requires open access to the data. In the context of astronomical observations, the FAIR principles of research data management are widely discussed. However, it is equally important that numerical simulations in astrophysics become FAIR and reproducible. We discuss the need to share not only simulation codes, but also results data and diagnostic tools. Currently, the degree to which this data is shared varies significantly. While code sharing has become more common, often only older or reduced versions are made publicly available. Additionally, the actual result data and diagnostic tools are much less widely disseminated. This situation hinders the reproducibility of research and the reuse of results by other researchers. To address this, we review the requirements for making data FAIR in computational astrophysics and discuss supporting tools, platforms, methods, and best practices.
001041715 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001041715 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x1
001041715 536__ $$0G:(GEPRIS)460248186$$aDFG project G:(GEPRIS)460248186 - PUNCH4NFDI - Teilchen, Universum, Kerne und Hadronen für die NFDI (460248186)$$c460248186$$x2
001041715 7001_ $$0P:(DE-Juel1)177668$$aPfalzner, Susanne$$b1$$ufzj
001041715 7001_ $$0P:(DE-Juel1)192488$$aZjupa, Jolanta$$b2$$ufzj
001041715 7001_ $$0P:(DE-HGF)0$$aCielo, Salvatore$$b3
001041715 7001_ $$0P:(DE-Juel1)184382$$aWagner, Frank$$b4$$eCorresponding author$$ufzj
001041715 7001_ $$0P:(DE-HGF)0$$aBrüggen, Marcus$$b5
001041715 7001_ $$0P:(DE-Juel1)132251$$aHagemeier, Annika$$b6$$ufzj
001041715 909CO $$ooai:juser.fz-juelich.de:1041715$$pVDB
001041715 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177668$$aForschungszentrum Jülich$$b1$$kFZJ
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001041715 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)184382$$aForschungszentrum Jülich$$b4$$kFZJ
001041715 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132251$$aForschungszentrum Jülich$$b6$$kFZJ
001041715 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001041715 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x1
001041715 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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