Formalizing the Requirements of Big Open Linked Data Analytics in the Public Sector

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39902630" target="_blank" >RIV/00216275:25410/16:39902630 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Formalizing the Requirements of Big Open Linked Data Analytics in the Public Sector

Popis výsledku v původním jazyce

With the emerging opportunities established by new technologies and communication channels, big open linked data analytics essentially changes the way how policymaking is perceived and executed. The purpose of this paper is to review recent research on this topic. Thus, this study examines the emerging role of these data in the context of their benefits, challenges and risks in the public sector. The key contribution in this paper is a new conceptual framework which is to be specifically ad-dressed and customized for big open linked data analytics. More particularly, it defines the key lifecycle phases and related activities of these data which were identified and categorized through a systematic literature review process.

Název v anglickém jazyce

Formalizing the Requirements of Big Open Linked Data Analytics in the Public Sector

Popis výsledku anglicky

With the emerging opportunities established by new technologies and communication channels, big open linked data analytics essentially changes the way how policymaking is perceived and executed. The purpose of this paper is to review recent research on this topic. Thus, this study examines the emerging role of these data in the context of their benefits, challenges and risks in the public sector. The key contribution in this paper is a new conceptual framework which is to be specifically ad-dressed and customized for big open linked data analytics. More particularly, it defines the key lifecycle phases and related activities of these data which were identified and categorized through a systematic literature review process.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 28th International Business Information Management Association Conference

ISBN

978-0-9860419-8-3

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

4453-4457

Název nakladatele

International Business Information Management Association-IBIMA

Místo vydání

Norristown

Místo konání akce

Sevilla

Datum konání akce

9. 11. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000392785700444