Consistency of Open Data as Prerequisite for Usability in Agriculture

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A77588" target="_blank" >RIV/60460709:41110/18:77588 - isvavai.cz</a>

Výsledek na webu

<a href="https://sab.czu.cz/dl/70860?lang=en" target="_blank" >https://sab.czu.cz/dl/70860?lang=en</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/sab-2018-40" target="_blank" >10.2478/sab-2018-40</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Consistency of Open Data as Prerequisite for Usability in Agriculture

Popis výsledku v původním jazyce

Benefits of open data are diverse and range from improved efficiency of public administrations, economic growth in the private sector. Agriculture is also an inseparable part of the private sector. These data can stimulate economic growth. Economy can benefit from an easier access to information, content and knowledge in turn contributing to the development of innovative services and creation of new business models (European Data Portal, 2016). The prerequisite of this stimulation is consistency of open data. Both of these features have to be a part of these data quality. However, this aspect of open data quality has not yet been satisfactorily resolved in the framework of international standardization of quality (Systems and Software Quality Requirements and Evaluation (SQuaRE)). The issue of possible evaluation of open data consistency in agriculture is discussed. Results suggest that open data consistency may be achieved by consistent application of the technique of data normalization of relevant

Název v anglickém jazyce

Consistency of Open Data as Prerequisite for Usability in Agriculture

Popis výsledku anglicky

Benefits of open data are diverse and range from improved efficiency of public administrations, economic growth in the private sector. Agriculture is also an inseparable part of the private sector. These data can stimulate economic growth. Economy can benefit from an easier access to information, content and knowledge in turn contributing to the development of innovative services and creation of new business models (European Data Portal, 2016). The prerequisite of this stimulation is consistency of open data. Both of these features have to be a part of these data quality. However, this aspect of open data quality has not yet been satisfactorily resolved in the framework of international standardization of quality (Systems and Software Quality Requirements and Evaluation (SQuaRE)). The issue of possible evaluation of open data consistency in agriculture is discussed. Results suggest that open data consistency may be achieved by consistent application of the technique of data normalization of relevant

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Scientia Agriculturae Bohemica

ISSN

1211-3174

e-ISSN

1805-9430

Svazek periodika

49

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

333-339

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85060061854