Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kesper, Arno"'
Data is of high quality if it is fit for its intended use. The quality of data is influenced by the underlying data model and its quality. One major quality problem is the heterogeneity of data as quality aspects such as understandability and interop
Externí odkaz:
http://arxiv.org/abs/2111.06661
As scientific progress highly depends on the quality of research data, there are strict requirements for data quality coming from the scientific community. A major challenge in data quality assurance is to localise quality problems that are inherent
Externí odkaz:
http://arxiv.org/abs/2007.11298
Accompanying presentation to the main track paper "Detecting Quality Problems in Research Data: A Model-Driven Approach" presented at "ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20)".
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d08d752420fa4c4981308774986a8ba
Autor:
Matoni, Markus, Stein, Regine
This presentation presents a catalog of quality problems in research data that are focussed on material cultural objects, corresponding data models and data transformations. The catalog was created within the KONDA research project. The presentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ba0d883ad0d21c8c5edd8b56a662ef0