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开放数据在数字社会中的作用:通过文献计量学方法对科学热门话题的分析。

The role of open data in digital society: The analysis of scientific trending topics through a bibliometric approach.

作者信息

Catone Maria Carmela

机构信息

Department of Sociology, University of Barcelona, Barcelona, Spain.

出版信息

Front Sociol. 2023 Feb 1;8:1134518. doi: 10.3389/fsoc.2023.1134518. eCollection 2023.

DOI:10.3389/fsoc.2023.1134518
PMID:36818665
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9931025/
Abstract

The analysis of contemporary society, characterized by technological, economic, political, social, and cultural changes, has become more challenging due to the development of the internet and information and communication technologies, which provide a vast and increasingly valuable source of information, knowledge, and data. Within this context, so-called open data-that is, data that are made public, especially by public administrations, through an open governance model (transparent and accessible to citizens) are assuming a significant role. This is a topic of growing importance that scientific research is addressing in an attempt to discern the multiplicity of social, educational, legal, technological, statistical, and methodological issues that underlie the creation and use of such data. This article aims to provide insights into understanding scientific trends on the topic of open data through a bibliometric approach. Specifically, a total of 3,110 publications related to the disciplinary fields of the social sciences and humanities published from 2013 to 2022 were collected. The data was then analyzed using network and factorial analysis techniques to detect the conceptual structure to identify the trends of topics and perspectives of research that characterize open data studies.

摘要

当代社会的分析因互联网以及信息通信技术的发展而变得更具挑战性,这些技术带来了技术、经济、政治、社会和文化的变革,同时也提供了大量且价值日益增长的信息、知识和数据来源。在此背景下,所谓的开放数据,即特别是由公共行政部门通过开放治理模式(对公民透明且可获取)公开的数据,正发挥着重要作用。这是一个日益重要的话题,科学研究正在探讨其中涉及的众多社会、教育、法律、技术、统计和方法学问题,这些问题构成了此类数据创建和使用的基础。本文旨在通过文献计量学方法,深入了解开放数据这一主题的科学趋势。具体而言,收集了2013年至2022年期间发表的与社会科学和人文科学学科领域相关的3110篇出版物。然后使用网络和因子分析技术对数据进行分析,以检测概念结构,从而识别表征开放数据研究的主题趋势和研究视角。

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Qual Quant. 2023;57(1):193-212. doi: 10.1007/s11135-022-01351-7. Epub 2022 Mar 5.
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Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century.开放科学、开放数据与开放学术:让科学适应21世纪的欧洲政策
Front Big Data. 2019 Dec 10;2:43. doi: 10.3389/fdata.2019.00043. eCollection 2019.
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A structured open dataset of government interventions in response to COVID-19.
一个针对 COVID-19 政府干预措施的结构化开放数据集。
Sci Data. 2020 Aug 27;7(1):285. doi: 10.1038/s41597-020-00609-9.
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Bibliometric Keyword Analysis across Seventeen Years (2000-2016) of Articles.2000年至2016年十七年间文章的文献计量关键词分析
J Intell. 2018 Oct 15;6(4):46. doi: 10.3390/jintelligence6040046.
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How Do Scientists Define Openness? Exploring the Relationship Between Open Science Policies and Research Practice.科学家如何定义开放性?探索开放科学政策与研究实践之间的关系。
Bull Sci Technol Soc. 2016 Jun;36(2):128-141. doi: 10.1177/0270467616668760. Epub 2016 Jun 1.