Smarter open government data for Society 5.0: analysis of 51 OGD portals

This dataset contains data collected during a study "Smarter open government data for Society 5.0: are your open data smart enough" (<em>Sensors</em>. 2021; 21(15):5204) conducted by Anastasija Nikiforova (University of Latvia).<br> It being made public both to act as supplementary data for "Smarter open government data for Society 5.0: are your open data smart enough" paper and in order for other researchers to use these data in their own work. The data in this dataset were collected in the result of the inspection of 60 countries and their OGD portals (total of 51 OGD portal in May 2021) to find out whether they meet the trends of Society 5.0 and Industry 4.0 obtained by conducting an analysis of relevant OGD portals. Each portal has been studied starting with a search for a data set of interest, i.e. “real-time”, “sensor” and “covid-19”, follwing by asking a list of additional questions.<br> These questions were formulated on the basis of combination of (1) crucial open (government) data-related aspects, including open data principles, success factors, recent studies on the topic, PSI Directive etc., (2) trends and features of Society 5.0 and Industry 4.0, (3) elements of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use Model (UTAUT). The method used belongs to typical / daily tasks of open data portals sometimes called “usability test” – keywords related to a research question are used to filter data sets, i.e. “real-time”, “real time” and “real time”, “sensor”, covid”, “covid-19”, “corona”, “coronavirus”, “virus”. In most cases, “real-time”, “sensor” and “covid” keywords were sufficient.<br> The examination of the respective aspects for less user-friendly portals was adapted to particular case based on the portal or data set specifics, by checking:<br> 1. are the open data related to the topic under question ({sensor; real-time; Covid-19}) published, i.e. available?<br> 2. are these data available in a machine-readable format?<br> 3. are these data current, i.e. regularly updated? Where the criteria on the currency depends on the nature of data, i.e. Covid-19 data on the number of cases per day is expected to be updated daily, which won’t be sufficient for real-time data as the title supposes etc.<br> 4. is API ensured for these data? having most importance for real-time and sensor data;<br> 5. have they been published in a timely manner? which was verified mainly for Covid-19 related data. The timeliness is assessed by comparing the dates of the first case identified in a given country and the first release of open data on this topic.<br> 6. what is the total number of available data sets?<br> 7. does the open government data portal provides use-cases / showcases? <br> 8. does the open government portal provide an opportunity to gain insight into the popularity of the data, i.e. does the portal provide statistics of this nature, such as the number of views, downloads, reuses, rating etc.?<br> 9. is there an opportunity to provide a feedback, comment, suggestion or complaint?<br> 10. (9a) is the artifact, i.e. feedback, comment, suggestion or complaint, visible to other users? ***Format of the file***<br> .xls, .ods, .csv (for the first spreadsheet only) ***Licenses or restrictions***<br> CC-BY For more info, see README.txt

本数据集包含一项题为《面向社会5.0的更智能开放政府数据：你的开放数据足够智能吗？》的研究（发表于*Sensors*，2021; 21(15):5204）所采集的数据，该研究由拉脱维亚大学的Anastasija Nikiforova开展。
本数据集公开的目的，一是作为上述《面向社会5.0的更智能开放政府数据：你的开放数据足够智能吗？》论文的补充数据，二是供其他研究人员将其应用于自身研究工作。
本数据集收录的数据源自对60个国家及其开放政府数据（Open Government Data, OGD）门户的调研（2021年5月共计51个OGD门户），旨在通过对相关OGD门户的分析，探究这些门户是否符合社会5.0与工业4.0的发展趋势。调研流程为：首先搜索与“实时”“传感器”及“COVID-19”相关的数据集，随后通过一系列附加问题进行进一步评估。
这些问题的制定结合了三方面内容：(1) 开放（政府）数据的核心相关维度，涵盖开放数据原则、成功要素、该主题的近期研究成果、公共部门信息（Public Sector Information, PSI）指令等；(2) 社会5.0与工业4.0的趋势与特征；(3) 技术接受模型（Technology Acceptance Model, TAM）以及整合型技术接受与使用统一理论（Unified Theory of Acceptance and Use of Technology, UTAUT）的相关要素。
本次调研方法属于开放数据门户常见的日常任务范畴，有时也被称为“可用性测试”——即使用与研究问题相关的关键词筛选数据集，所用关键词包括“real-time”“real time”“real time”“传感器”“covid”“covid-19”“corona”“coronavirus”“virus”。多数情况下，使用“实时”“传感器”与“COVID-19”相关关键词即可完成筛选。
对于用户体验较差的门户，本次调研会根据门户或数据集的具体情况调整相关维度的考察方式，具体核查内容如下：
1. 与所研究主题（{传感器；实时；COVID-19}）相关的开放数据是否已发布，即是否可获取？
2. 此类数据是否采用机器可读格式？
3. 此类数据是否保持更新及时？更新频率的要求取决于数据类型：例如，每日新增病例数的COVID-19数据需每日更新，但这对于标题所要求的“实时”数据而言仍不足够等。
4. 此类数据是否提供应用程序编程接口（Application Programming Interface, API）？该要求对于实时数据与传感器数据尤为重要。
5. 相关数据是否及时发布？该标准主要针对COVID-19相关数据进行验证，其及时性通过对比特定国家报告的首例病例日期与该主题开放数据的首次发布日期进行评估。
6. 可获取的数据集总数量为多少？
7. 该开放政府数据门户是否提供用例/展示案例？
8. 该开放政府门户是否提供数据热度洞察的途径，即是否提供浏览量、下载量、复用率、评分等相关统计数据？
9. 是否提供反馈、评论、建议或投诉的渠道？
10. (9a) 反馈、评论、建议或投诉等交互内容是否对其他用户可见？
***文件格式***：.xls、.ods、.csv（仅适用于第一张电子表格）
***许可与限制***：采用知识共享署名（CC-BY）许可。更多信息请参阅README.txt