Open Government Data: Concepts, Approaches and Dimensions Over Time

Abstract

Government Open Data (DAG) is free, open and available data by public organizations and can be used in projects or integrated with new products, applications or services. Research in the OGD area has grown substantially in recent years, addressing several different conceptual approaches and dimensions. It is important to understand the concept over time as a way to better conceive researches based on contemporary approaches. Therefore, the present study aims to review and categorize existing researches about OGD, identifying which approaches are being adopted, which are the research strategies used, how the concept evolves and which are the most referenced articles. This study analyzed and categorized researches about OGD through a systematic literature review covering 193 publications presented in the main databases. Papers were analyzed through content analysis, through the steps of reduction, display, conclusion and double blind verification. The researches were classified into seven dimensions and under ten different approaches. Concurrently with the development of OGD global initiatives, new scientific papers tend to direct their focus to issues such as data quality and accountability. Through the results of this research it is possible to identify widely discussed approaches and those that can be further explored, as well as the development of the OGD concept over time and its dimensions.Keywords: Open Data; Open Government Data; Open Data approaches; Open Data dimensions.E&G Economia e Gestão, Belo Horizonte, v. 18, n. 49, Jan./Abr. 2018 5 RESUMOOs Dados Abertos Governamentais (DAG) são dados livres, abertos e disponíveis por organizações públicas e podem ser usados em projetos ou integrados a novos produtos, aplicativos ou serviços. A pesquisa na área de DAG cresceu substancialmente nos últimos anos com diferentes abordagens e dimensões conceituais, tornando importante compreender o conceito ao longo do tempo. Portanto, o presente estudo tem como objetivo analisar e categorizar as pesquisas existentes sobre DAG, identificando quais abordagens estão sendo adotadas, quais são as estratégias de pesquisa utilizadas, como o conceito evolui e quais são os artigos mais referenciados. Este estudo analisou e categorizou pesquisas sobre DAG através de uma revisão sistemática da literatura que abrange 193 publicações apresentadas nas principais bases de dados. Os documentos foram analisados através da análise de conteúdo, com etapas de redução, exibição, conclusão e verificação duplo-cego. As pesquisas foram classificadas em sete dimensões e em dez abordagens diferentes. Paralelamente ao desenvolvimento das iniciativas globais da DAG, novos trabalhos científicos tendem a direcionar seu foco para questões como a qualidade dos dados e a responsabilização. Através dos resultados desta pesquisa, é possível identificar abordagens amplamente discutidas e as que podem ser exploradas, bem como o desenvolvimento do conceito DAG ao longo do tempo e suas dimensões.

A contribuição da gestão do conhecimento às cidades inteligentes visando a inovação: proposta de um framework prescritivo e uma agenda de pesquisa

“…Several authors indicate the expansion of initiatives to encourage citizen participation, combined with the search for knowledge transfer and data transparency (Batty et al, 2012;Deakin & Al Waer, 2011;Osman, 2019;Tang et al, 2015;Klein, Klein & Luciano, 2018). Such perspectives demonstrate alignment with KM processes, especially about the process of converting tacit to explicit knowledge (Takeuchi & Nonaka, 2009).…”

“…The analysis of this data set can prove to be a valuable source of insights; however, it requires technological support (Tang et al, 2015). Another aspect that reinforces the urgency of a management posture focused on KM is the growing demand for open and public data that promote transparency and public control of government activities (Klein, Klein & Luciano, 2018).…”

Quality of government health data in COVID-19: definition and testing of an open government health data quality evaluation framework

“…Evaluating the quality of open government data is of great significance to promote open government data and is a critical path for developing open government data. Data quality study has become the focus in the research related to open government data (Klein et al , 2018). In 2006, Tim Berners Lee proposed a widely cited and recognized open data deployment scheme, based on five – incremental and progressive demand – requirements represented as “stars” [7].…”

Μελέτη Της Επίδρασης Φυτικών Διτερπενίων Και Φλαβονοειδών Σε Ανθρώπινα Λευχαιμικά Κύτταρα

“…Ογκοκατασταλτικά γονίδια: Οι έρευνες με πειράματα υβριδισμού σε σωματικά κύτταρα έδειξαν την παρουσία γονιδίων που έχουν την ικανότητα να καταστέλλουν τον κακοήθη χαρακτήρα των καρκινικών κυττάρων (Sager, 1989;Harris, 1990 (Gross, 1943). Οι έρευνες που ακολούθησαν έδειξαν ότι καρκινοειδικά (tumor specific) αντιγόνα υπάρχουν σε μια πλειάδα όγκων που προέρχονταν από ποντίκια (Klein et al, 1960;Globerson and Feldmann, 1964). Τα αντιγόνα αυτά, μπορεί να είναι νέες αντιγονικές ομάδες που εμφανίζονται στα καρκινικά κύτταρα ή πιο απλά σπάνιες φυσιολογικές αντιγονικές ομάδες, που λόγω της υπέρμετρης αύξησης των κυττάρων που τα φέρουν (λόγω του μετασχηματισμού τους σε καρκινικά) οδηγούν στη διέγερση του ανοσοποιητικού συστήματος.…”