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Fri 16 - Fri 23 October 2020
Thu 22 Oct 2020 15:00 - 15:20 at Room B - B5-Models and Data Chair(s): Dimitris Kolovos

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 to data collections. In this paper, we present the results of a qualitative study on quality problems occurring in cultural heritage data. To cope with the dynamic digitalisation of the humanities, we present a model-driven approach to analyse the quality of research data. It allows abstracting from the underlying database technology. Based on the observation that many of the identified quality problems show anti-patterns, a data engineer formulates analysis patterns that are generic concerning the database format and technology. A domain expert chooses a pattern that has been adapted to a specific database technology and concretises it for a domain-specific database format. The resulting concrete patterns are used by data analysts to locate quality problems in their databases. As a proof of concept, we implemented tool support that realises this approach for XML databases. We evaluated our approach concerning expressiveness and performance.

Thu 22 Oct

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15:00 - 16:15
B5-Models and DataTechnical Track at Room B
Chair(s): Dimitris Kolovos University of York
Detecting Quality Problems in Research Data: A Model-Driven ApproachFT
Technical Track
Arno Kesper , Viola Wenz Philipps-Universität Marburg, Gabriele Taentzer Universität Marburg
Link to publication DOI File Attached
Insights Collaboration Space – A Team Collaboration App for the Design of Data-Driven ServicesDemo
Technical Track
Towards User-Centred tooling for Modelling of Big Data ApplicationsDemo
Technical Track
Hourieh Khalajzadeh Monash University, Australia, Tarun Verma , Anj Simmons Deakin University, John Grundy Monash University, Mohamed Abdelrazek Deakin University, Australia, John Hosking University of Auckland
TyphonML: a Modeling Environment to Develop Hybrid PolystoresDemo
Technical Track
Francesco Basciani University of L'Aquila, Juri Di Rocco University of L'Aquila, Davide Di Ruscio University of L'Aquila, Ludovico Iovino Gran Sasso Science Institute, L'Aquila, Italy, Alfonso Pierantonio Università degli Studi dell'Aquila