Poster - Detecting Quality Problems in Research Data: A Model-Driven Approach

Arno Kesper; Viola Wenz; Gabriele Taentzer

doi:10.5281/zenodo.4114302

Published October 21, 2020 | Version v2

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Poster - Detecting Quality Problems in Research Data: A Model-Driven Approach

1. Philipps-Universität Marburg

Accompanying poster 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)".

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Is supplemented by: Conference paper: 10.1145/3365438.3410987 (DOI); Preprint: 10.5281/zenodo.4019095 (DOI); Preprint: arXiv:2007.11298 (arXiv)

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DOI

Resource type

Poster

Publisher

Zenodo

Conference

ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20) , Virtual Event, Canada, 16-23 Oktober 2020

Languages

English

Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Created: October 21, 2020
Modified: July 19, 2024

Poster - Detecting Quality Problems in Research Data: A Model-Driven Approach

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Files

kesper-wenz-taentzer_poster_detecting-quality-problems.pdf

Files (1.1 MB)

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