ReStoRunT: Simple Recording, Storing, Running and Tracing changes in Spreadsheets

Abstract:

In 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.

SEEK ID: https://fairdomhub.org/publications/679

DOI: 10.18420/BTW2023-57

Projects: FAIRDOM, MESI-STRAT

Publication type: Journal

Journal: Datenbanksysteme für Business, Technologie und Web

Citation:

Date Published: 23rd Mar 2023

URL: https://dl.gi.de/server/api/core/bitstreams/361e8ad8-6fa6-4351-a8f2-aece0d963bcf/content

Registered Mode: manually

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Citation
Wolfgang, M., & Mertová, L. (2023). ReStoRunT: Simple Recording, Storing, Running and Tracing changes in Spreadsheets. https://doi.org/10.18420/BTW2023-57
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Created: 25th Sep 2023 at 10:56

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