Open Data Quality Management Based on ISO/IEC SQuaRE Series Standards in Intelligent Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F20%3A83714" target="_blank" >RIV/60460709:41110/20:83714 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-030-51974-2_58" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-51974-2_58</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-51974-2_58" target="_blank" >10.1007/978-3-030-51974-2_58</a>

Result language

angličtina

Original language name

Open Data Quality Management Based on ISO/IEC SQuaRE Series Standards in Intelligent Systems

Original language description

The complexity of current data needs and their analysis requires increasingly complex methods of both database and standards, and the involvement of several other disciplines. In this article, we introduced the idea of using a Data Quality Management (SQuaRE standards) in the relation to open data. However, the issue of Data Quality Management in the relation to open data is defined in this standardization too generally. For this reason, we need to address this issue as whole. This article defines the basics of Data Quality Management in the relation to open data for using in intelligent systems. Within our specification, the roles of individual subjects of Data Quality Management are defined, including their functions and responsibilities. The article then also identifies possible specific representatives of these entities and identifies the umbrella institution of the whole Data Quality Management for the agricultural sector case study.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Article name in the collection

Applied Informatics and Cybernetics in Intelligent Systems. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1226

ISBN

978-3-030-51973-5

ISSN

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e-ISSN

2194-5365

Number of pages

7

Pages from-to

625-631

Publisher name

Springer Nature Switzerland AG 2020

Place of publication

Springer, Cham

Event location

Online

Event date

Apr 23, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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