Perspectives of Big Data Quality in Smart Service Ecosystem

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00111068" target="_blank" >RIV/00216224:14330/18:00111068 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.22059/JITM.2019.72763" target="_blank" >http://dx.doi.org/10.22059/JITM.2019.72763</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22059/JITM.2019.72763" target="_blank" >10.22059/JITM.2019.72763</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Perspectives of Big Data Quality in Smart Service Ecosystem

Popis výsledku v původním jazyce

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context of Big Data. Furthermore, we extend this model and demonstrate it utility by analyzing the impact of three Big Data characteristics such as volume, velocity and variety in the context of smart cities. This paper intends to build a foundation for further empirical research to understand Big Data quality and its implications in the design and execution of smart service ecosystems.

Název v anglickém jazyce

Perspectives of Big Data Quality in Smart Service Ecosystem

Popis výsledku anglicky

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context of Big Data. Furthermore, we extend this model and demonstrate it utility by analyzing the impact of three Big Data characteristics such as volume, velocity and variety in the context of smart cities. This paper intends to build a foundation for further empirical research to understand Big Data quality and its implications in the design and execution of smart service ecosystems.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Journal of Information Technology Management

ISSN

2008-5893

e-ISSN

2423-5059

Svazek periodika

10

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

IR - Íránská islámská republika

Počet stran výsledku

12

Strana od-do

72-83

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85072581832