Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F19%3A00109111" target="_blank" >RIV/00216224:14610/19:00109111 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0007717402860293" target="_blank" >http://dx.doi.org/10.5220/0007717402860293</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0007717402860293" target="_blank" >10.5220/0007717402860293</a>

Result language
angličtina
Original language name
Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank
Original language description
3D data have been widely used to represent complex data objects in different domains such as virtual reality, 3D printing or biological data analytics. Due to complexity of 3D data, it is usually featured as big 3D data. One of the typical big 3D data is the protein data, which can be used to visualize the protein structure in a 3D style. However, the 3D data also bring various data quality problems, which may cause the delay, inaccurate analysis results, even fatal errors for the critical decision making. Therefore, this paper proposes a novel big 3D data process model with specific consideration of 3D data quality. In order to validate this model, we conduct a case study for cleaning and analyzing the protein data. Our case study includes a comprehensive taxonomy of data quality problems for the 3D protein data and demonstrates the utility of our proposed model. Furthermore, this work can guide the researchers and domain experts such as biologists to manage the quality of their 3D protein data.
Czech name
—
Czech description
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Project
<a href="/en/project/EF16_013%2F0001802" target="_blank" >EF16_013/0001802: CERIT Scientific Cloud</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1
ISBN
9789897583698
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
286-293
Publisher name
SciTePress
Place of publication
Crete, Greece
Event location
Crete, Greece
Event date
Jan 1, 2019
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000570344500029

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