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001034000 037__ $$aFZJ-2024-06833
001034000 1001_ $$0P:(DE-Juel1)194141$$aStiele, Holger$$b0$$eCorresponding author$$ufzj
001034000 1112_ $$aLOFAR Long-term Archive Development Workshop$$cDwingeloo$$d2024-09-18 - 2024-09-20$$wNetherlands
001034000 245__ $$aTowards more structured long-term data archiving
001034000 260__ $$c2024
001034000 3367_ $$033$$2EndNote$$aConference Paper
001034000 3367_ $$2DataCite$$aOther
001034000 3367_ $$2BibTeX$$aINPROCEEDINGS
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001034000 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1736406241_13966$$xAfter Call
001034000 520__ $$aAt the moment, the long-term archive sites do not have knowledge about the (scientific) content of the observations that are stored. If we know, e.g. which observations belong from an observational and astrophysical point of view together, it may be possible to archive these data on the same tape, minimising the costs in time and energy to retrieve them. As with the upgrade to LOFAR 2.0 it is also foreseen to save advanced data products it will be necessary to store the data in a comprehensible way so that it is clear which data sets of different levels belong together. Based on this information, we would like to build a knowledge tree that in the end would e.g. allow to suggest to observers other archived observation that cover similar objects. Such a structure will also help to provide data according to the FAIR principles and facilitate reuse in the age of multi-wavelength astronomy.
001034000 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001034000 536__ $$0G:(DE-HGF)POF4-5121$$a5121 - Supercomputing & Big Data Facilities (POF4-512)$$cPOF4-512$$fPOF IV$$x1
001034000 536__ $$0G:(DE-Juel-1)PROFILNRW-2020-038B$$aBig Bang to Big Data - B3D [NRW-Cluster für datenintensive Radioastronomie] (PROFILNRW-2020-038B)$$cPROFILNRW-2020-038B$$x2
001034000 7001_ $$0P:(DE-Juel1)132183$$aManzano, Cristina$$b1$$ufzj
001034000 7001_ $$0P:(DE-Juel1)185945$$aMiskolczi, Arpad$$b2$$ufzj
001034000 7001_ $$0P:(DE-Juel1)177668$$aPfalzner, Susanne$$b3$$ufzj
001034000 7001_ $$0P:(DE-Juel1)132100$$aFieseler, Thomas$$b4$$ufzj
001034000 7001_ $$0P:(DE-Juel1)194303$$aVybornov, Vadim$$b5$$ufzj
001034000 909CO $$ooai:juser.fz-juelich.de:1034000$$pVDB
001034000 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)194141$$aForschungszentrum Jülich$$b0$$kFZJ
001034000 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132183$$aForschungszentrum Jülich$$b1$$kFZJ
001034000 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)185945$$aForschungszentrum Jülich$$b2$$kFZJ
001034000 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177668$$aForschungszentrum Jülich$$b3$$kFZJ
001034000 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132100$$aForschungszentrum Jülich$$b4$$kFZJ
001034000 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)194303$$aForschungszentrum Jülich$$b5$$kFZJ
001034000 9131_ $$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
001034000 9131_ $$0G:(DE-HGF)POF4-512$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5121$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vSupercomputing & Big Data Infrastructures$$x1
001034000 9141_ $$y2024
001034000 920__ $$lyes
001034000 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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