000907379 001__ 907379
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000907379 037__ $$aFZJ-2022-02001
000907379 041__ $$aEnglish
000907379 1001_ $$0P:(DE-Juel1)190225$$aMore, Heather$$b0$$eCorresponding author
000907379 1112_ $$aHMC Dialogue: Pitch Perfect$$wvirtual
000907379 245__ $$aBEAVERDAM: Create and browse databases of metadata$$f2022-04-22 - 
000907379 260__ $$c2022
000907379 3367_ $$033$$2EndNote$$aConference Paper
000907379 3367_ $$2DataCite$$aOther
000907379 3367_ $$2BibTeX$$aINPROCEEDINGS
000907379 3367_ $$2ORCID$$aLECTURE_SPEECH
000907379 3367_ $$0PUB:(DE-HGF)31$$2PUB:(DE-HGF)$$aTalk (non-conference)$$btalk$$mtalk$$s1654773655_28295$$xAfter Call
000907379 3367_ $$2DINI$$aOther
000907379 520__ $$aCollecting metadata during experiments is only beneficial if it can be used later.  We are developing BEAVERDAM (Build, Explore, And Visualize ExpeRiment DAtabases of Metadata) as a tool to interactively explore metadata, and testing it on a dataset from neuroscience experiments.  Users can combine metadata from multiple experiments into a database, identify experiments meeting criteria, and view graphs summarizing the results.  We hope BEAVERDAM will help scientists get an overview of their experiments and inform further analyses.
000907379 536__ $$0G:(DE-HGF)POF4-5235$$a5235 - Digitization of Neuroscience and User-Community Building (POF4-523)$$cPOF4-523$$fPOF IV$$x0
000907379 536__ $$0G:(DE-HGF)HMC_20200306$$aHMC - Helmholz Metadata Collaboration ((DE-HGF)HMC_20200306)$$c(DE-HGF)HMC_20200306$$x1
000907379 7001_ $$0P:(DE-Juel1)144807$$aDenker, Michael$$b1
000907379 909CO $$ooai:juser.fz-juelich.de:907379$$pVDB
000907379 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190225$$aForschungszentrum Jülich$$b0$$kFZJ
000907379 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144807$$aForschungszentrum Jülich$$b1$$kFZJ
000907379 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5235$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0
000907379 9141_ $$y2022
000907379 920__ $$lyes
000907379 9201_ $$0I:(DE-Juel1)INM-6-20090406$$kINM-6$$lComputational and Systems Neuroscience$$x0
000907379 9201_ $$0I:(DE-Juel1)INM-10-20170113$$kINM-10$$lJara-Institut Brain structure-function relationships$$x1
000907379 9201_ $$0I:(DE-Juel1)IAS-6-20130828$$kIAS-6$$lTheoretical Neuroscience$$x2
000907379 9201_ $$0I:(DE-Juel1)IAS-9-20201008$$kIAS-9$$lMaterials Data Science and Informatics$$x3
000907379 980__ $$atalk
000907379 980__ $$aVDB
000907379 980__ $$aI:(DE-Juel1)INM-6-20090406
000907379 980__ $$aI:(DE-Juel1)INM-10-20170113
000907379 980__ $$aI:(DE-Juel1)IAS-6-20130828
000907379 980__ $$aI:(DE-Juel1)IAS-9-20201008
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000907379 981__ $$aI:(DE-Juel1)IAS-6-20130828