Open government data representation and retrieval: a literatura review

被引:0
作者
de Oliveira, Danielle Teixeira [1 ]
Silvan, Patricia Nascimento [1 ]
机构
[1] Univ Fed Minas Gerais, Belo Horizonte, MG, Brazil
来源
RDBCI-REVISTA DIGITAL DE BIBLIOTECONOMIA E CIENCIA DA INFORMACAO | 2024年 / 22卷
关键词
Open data; Open government data; Information representation; Information retrieval; Information Science; INFORMATION;
D O I
10.20396/rdbci.v21i00.8675828
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Introduction: The technological development of society over the last few decades has enabled greater interaction and transparency between government and society through the consolidation of open government initiatives. In this context, Open Government Data (OGD) has emerged, which public sector information is made available in reusable formats for free access and use. However, for this new scenario, data needs to be represented, organized, processed and retrieved, which is directly related to the concepts, methodologies and tools of Information Science (IS). Objective: To investigate academic production on the representation and retrieval of OGD in IS. Methodology: An exploratory and descriptive study using a literature review. The review protocol was created based on the literature and carried out between July and August 2023. Results: 40 documents in Portuguese, English and Spanish were selected for content analysis. Seven categories of analysis were identified from documents published between 2011 and 2023, the majority in English and classified as research articles. Of the 40 documents analyzed, 23 addressed the representation of OGD, seven addressed retrieval and 10 addressed both topics, which were subdivided into seven themes. Conclusion: Given the varied approaches found in the literature, the continued importance of OGD in the sphere of IS and related areas is highlighted, providing a basis for future research and improvements in the representation, retrieval and use of OGD, thus driving advances in government transparency, civic innovation and citizen science, applied to new business models.
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页数:27
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