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dc.contributor.authorWolfgang, Müller
dc.contributor.authorMertová, Lukrécia
dc.contributor.editorKönig-Ries, Birgitta
dc.contributor.editorScherzinger, Stefanie
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2023-02-23T14:00:09Z
dc.date.available2023-02-23T14:00:09Z
dc.date.issued2023
dc.identifier.isbn978-3-88579-725-8
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/40365
dc.description.abstractIn addition to the ubiquitous big data, one key challenge indata processing and management in the life sciences is the diversity ofsmall data. Diverse pieces of small data have to be transformed intostandards-compliant data. Here, the challenge lies not in the difficulty ofsingle steps that need to be performed, but rather in the fact that manytransformation tasks are to be performed once or only a few times. Thislimits the time that can be put into automated approaches, which inturn severely limits the verifiability of such transformations.As much of the data to be processed is stored in spreadsheets, withinthis paper we justify and propose a lightweight recording-based solutionthat works on a wide variety of spreadsheet programs, from MicrosoftExcel to Google Docs.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBTW 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-331
dc.subjectProvenance
dc.subjectHarmonisation
dc.subjectSpreadsheets
dc.titleReStoRunT: Simple Recording, Storing, Running and Tracing changes in Spreadsheetsen
dc.typeText/Conference Paper
dc.identifier.doi10.18420/BTW2023-57
gi.conference.locationDresden, Germany
gi.conference.date06.-10. März 2023
gi.citation.startPage865
gi.citation.endPage877
gi.citation.publisherPlaceBonn


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