FAIR is not enough -- A Metrics Framework to ensure Data Quality through Data Preparation
| dc.contributor.author | Restat, Valerie | |
| dc.contributor.author | Klettke, Meike | |
| dc.contributor.author | Störl, Uta | |
| dc.contributor.editor | König-Ries, Birgitta | |
| dc.contributor.editor | Scherzinger, Stefanie | |
| dc.contributor.editor | Lehner, Wolfgang | |
| dc.contributor.editor | Vossen, Gottfried | |
| dc.date.accessioned | 2023-02-23T14:00:12Z | |
| dc.date.available | 2023-02-23T14:00:12Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Data-driven systems and machine learning-based decisions are becoming increasingly important and are having an impact on our everyday lives. The prerequisite for this is good data quality, which must be ensured by preprocessing the data. For domain experts, however, the following difficulties arise: On the one hand, they have to choose from a multitude of different tools and algorithms. On the other hand, there is no uniform evaluation method for data quality. For this reason, we present the design of a framework of metrics that allows for a flexible evaluation of data quality and data preparation results. | en |
| dc.identifier.doi | 10.18420/BTW2023-61 | |
| dc.identifier.isbn | 978-3-88579-725-8 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/40370 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BTW 2023 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331 | |
| dc.subject | data quality | |
| dc.subject | metrics | |
| dc.subject | evaluation | |
| dc.subject | data preparation | |
| dc.title | FAIR is not enough -- A Metrics Framework to ensure Data Quality through Data Preparation | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 929 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 917 | |
| gi.conference.date | 06.-10. März 2023 | |
| gi.conference.location | Dresden, Germany |
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