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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/EF16_013%2F0001802" target="_blank" >EF16_013/0001802: CERIT Scientific Cloud</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1

ISBN

9789897583698

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

286-293

Název nakladatele

SciTePress

Místo vydání

Crete, Greece

Místo konání akce

Crete, Greece

Datum konání akce

1. 1. 2019

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000570344500029