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Tracing the History of the Baltic Sea Oxygen Level

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dc.contributor.authorAuge, Tanja
dc.contributor.authorHeuer, Andreas
dc.contributor.editorKai-Uwe Sattler
dc.contributor.editorMelanie Herschel
dc.contributor.editorWolfgang Lehner
dc.date.accessioned2021-03-16T07:57:10Z
dc.date.available2021-03-16T07:57:10Z
dc.date.issued2021
dc.description.abstractIn order to guarantee the reproducibility of research results, large research communities, conferences and journals increasingly demand the provision of original research data. Since this is often not possible or desired, a certain tact and sensitivity is needed. With our method, combining provenance and evolution, we can identify the source tuples necessary for the reconstruction of a query result also in temporal databases. To avoid dirty data caused by the inverse evolution, we introduced the what-provenance, which remembers the data types of the source relation.en
dc.identifier.doi10.18420/btw2021-18
dc.identifier.isbn978-3-88579-705-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/35801
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-311
dc.subjectLong-term Data
dc.subjectSchema Evolution
dc.subjectProvenance
dc.subjectResearch Data Management
dc.subjectCHASE
dc.titleTracing the History of the Baltic Sea Oxygen Levelen
gi.citation.endPage348
gi.citation.startPage337
gi.conference.date13.-17. September 2021
gi.conference.locationDresden
gi.conference.sessiontitleData Integration, Semantic Data Management, Streaming

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