Research on Assessment and Comparison of the Forestry Open Government Data Quality Between China and the United States

2020 ◽  
pp. 370-385
Author(s):  
Bo Wang ◽  
Jiwen Wen ◽  
Jia Zheng
Keyword(s):  
United States ◽  
Data Quality ◽  
The United States ◽  
Open Government ◽  
Open Government Data ◽  
Government Data

Advancing open government data portals: a comparative usability evaluation study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Di Wang ◽  
Deborah Richards ◽  
Ayse Aysin Bilgin ◽  
Chuanfu Chen
Keyword(s):  
United States ◽  
Evaluation Study ◽  
The United States ◽  
Open Government ◽  
Heuristic Evaluation ◽  
Content Type ◽  
Usability Problems ◽  
Open Government Data ◽  
Chinese Province ◽  
Government Data

PurposeTo address the key problem of lack of use in the advancement of open government data (OGD) portals from the aspect of good usability, which is an essential prerequisite to the acceptance and usage of a portal, this paper aims to develop a usability framework including design principles and criteria for OGD portals and to discover problems in the present usability design.Design/methodology/approachThis study builds the usability framework by extending usability principles for general websites to address the specific needs of OGD portals. Criteria for each principle are developed accordingly based on the literature. A comparative heuristic evaluation involving five expert evaluators and 13 Chinese province-level OGD portals has been carried out to test the capability of the usability framework.FindingsA usability framework with 24 principles and 63 criteria has been built. The heuristic evaluation shows OGD portals performed better in meeting general principles than the OGD portals specific ones. Insufficient help functions weakened OGD portals' usability. Similarities and differences were found of Chinese OGD portals compared with similar studies in the United States.Originality/valueThis paper proposed a usability framework for OGD portals and proved its capability in recognizing usability problems and its causes by carrying out a comparative heuristic evaluation in China. By comparing the evaluation results with other studies in the United States, the findings and lessons learnt in this study can thus be shared across international borders.

scholarly journals Citizen engagement with open government data

2020 ◽  
Vol 14 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Arie Purwanto ◽  
Anneke Zuiderwijk ◽  
Marijn Janssen
Keyword(s):  
Data Quality ◽  
Conceptual Model ◽  
Necessary Conditions ◽  
Open Government ◽  
Future Research ◽  
Citizen Engagement ◽  
Content Type ◽  
Open Government Data ◽  
Government Data

Purpose Citizen engagement is key to the success of many Open Government Data (OGD) initiatives. However, not much is known regarding how this type of engagement emerges. This study aims to investigate the necessary conditions for the emergence of citizen-led engagement with OGD and to identify which factors stimulate this type of engagement. Design/methodology/approach First, the authors created a systematic overview of the literature to develop a conceptual model of conditions and factors of OGD citizen engagement at the societal, organizational and individual level. Second, the authors used the conceptual model to systematically study citizens’ engagement in the case of a particular OGD initiative, namely, the digitization of presidential election results data in Indonesia in 2014. The authors used multiple information sources, including interviews and documents, to explore the conditions and factors of OGD citizen-led engagement in this case. Findings From the literature the authors identified five conditions for the emergence of OGD citizen-led engagement as follows: the availability of a legal and political framework that grants a mandate to open up government data, sufficient budgetary resources allocated for OGD provision, the availability of OGD feedback mechanisms, citizens’ perceived ease of engagement and motivated citizens. In the literature, the authors found six factors contributing to OGD engagement as follows: democratic culture, the availability of supporting institutional arrangements, the technical factors of OGD provision, the availability of citizens’ resources, the influence of social relationships and citizens’ perceived data quality. Some of these conditions and factors were found to be less important in the studied case, namely, citizens’ perceived ease of engagement and citizens’ perceived data quality. Moreover, the authors found several new conditions that were not mentioned in the studied literature, namely, citizens’ sense of urgency, competition among citizen-led OGD engagement initiatives, the diversity of citizens’ skills and capabilities and the intensive use of social media. The difference between the conditions and factors that played an important role in the case and those derived from the literature review might be because of the type of OGD engagement that the authors studied, namely, citizen-led engagement, without any government involvement. Research limitations/implications The findings are derived using a single case study approach. Future research can investigate multiple cases and compare the conditions and factors for citizen-led engagement with OGD in different contexts. Practical implications The conditions and factors for citizen-led engagement with OGD have been evaluated in practice and discussed with public managers and practitioners through interviews. Governmental organizations should prioritize and stimulate those conditions and factors that enhance OGD citizen engagement to create more value with OGD. Originality/value While some research on government-led engagement with OGD exists, there is hardly any research on citizen-led engagement with OGD. This study is the first to develop a conceptual model of necessary conditions and factors for citizen engagement with OGD. Furthermore, the authors applied the developed multilevel conceptual model to a case study and gathered empirical evidence of OGD engagement and its contributions to solving societal problems, rather than staying at the conceptual level. This research can be used to investigate citizen engagement with OGD in other cases and offers possibilities for systematic cross-case lesson-drawing.

scholarly journals Open data quality measurement framework: Definition and application to Open Government Data

2016 ◽  
Vol 33 (2) ◽  
pp. 325-337 ◽  
Author(s):  
Antonio Vetrò ◽  
Lorenzo Canova ◽  
Marco Torchiano ◽  
Camilo Orozco Minotas ◽  
Raimondo Iemma ◽  
...  
Keyword(s):  
Data Quality ◽  
Open Data ◽  
Quality Measurement ◽  
Open Government ◽  
Measurement Framework ◽  
Open Government Data ◽  
Government Data

scholarly journals A Survey of Municipal Open Data Repositories in the U.S.

2020 ◽  
Vol 9 (4) ◽  
pp. 1-22 ◽  
Author(s):  
Bev Wilson ◽  
Cong Cong
Keyword(s):  
Local Level ◽  
Empirical Studies ◽  
Open Data ◽  
The United States ◽  
Open Government ◽  
Extensive Literature ◽  
Data Repositories ◽  
Open Government Data ◽  
Government Data ◽  
Regulatory Actions

Cities in the United States are increasingly embracing open data as a means of advancing a variety of interests. Promoting transparency, facilitating public engagement, proactively managing records requests, and fostering innovation in the public and private sectors are among the commonly cited motivations for this phenomenon. While there is an extensive literature on the benefits and challenges of open government data, there are far fewer empirical studies that explore and document how these initiatives are unfolding at the local government scale. This article asks what kinds of data are being made open in U.S. cities and to what extent do open data policies and related regulatory actions matter in shaping the content and structure of public-facing repositories. The authors conclude that population size and regulatory actions exert a positive influence on the amount and variety of datasets provided through municipal open data portals. Implications for the design and governance of open government data initiatives at the local level are also discussed.

scholarly journals Building a Holistic Taxonomy Model for OGD-Related Risks: Based on a Lifecycle Analysis

2019 ◽  
Vol 1 (4) ◽  
pp. 309-332 ◽  
Author(s):  
Fang Wang ◽  
An Zhao ◽  
Hong Zhao ◽  
Jun Chu
Keyword(s):  
The United States ◽  
Open Government ◽  
Uncertainty Aversion ◽  
Active Response ◽  
Response Strategies ◽  
The United Kingdom ◽  
Open Government Data ◽  
Potential Risks ◽  
Government Data

For many government departments, uncertainty aversion is a source of barriers in the advancement of data openness. A more active response to potential risks is needed and necessitates an in-depth examination of risks related to open government data (OGD). With a cross-case study in which three cases from the United Kingdom, the United States and China are examined, this study identifies potential risks that might emerge at different stages of the lifecycle of OGD programs and constructs a taxonomy model for them. The taxonomy model distinguishes the “risks from OGD” from the “risks to OGD”, which can help government departments make better responses. Finally, risk response strategies are suggested based on the research results.

The Importance of Authoritative URI Design Schemes for Open Government Data

2018 ◽  
pp. 2181-2199
Author(s):  
Alexei Bulazel ◽  
Dominic DiFranzo ◽  
John S. Erickson ◽  
James A. Hendler
Keyword(s):  
Linked Data ◽  
Rensselaer Polytechnic Institute ◽  
The United States ◽  
Open Government ◽  
Government Programs ◽  
Ongoing Work ◽  
Starting Point ◽  
Open Government Data ◽  
Government Data ◽  
Data Elements

A major challenge when working with open government data is managing, connecting, and understanding the links between references to entities found across multiple datasets when these datasets use different vocabularies to refer to identical entities (i.e.: one dataset may refer to Microsoft as “Microsoft”, another may refer to the company by its SEC filing number as “0000789019”, and a third may use its stock ticker “MSFT”.) In this paper the authors propose a naming scheme based on Web URLs that enables unambiguous naming and linking of datasets and, more importantly, data elements, across the Web. They further describe their ongoing work to demonstrate the implementation and authoritative management of such schemes through a class of web service they refer to as the “instance hub”. When working with linked government data, provided either directly from governments via open government programs or through other sources, the issue of resolving inconsistencies in naming schemes is particularly important, as various agencies have disparate conventions for referring to the same concepts and entities. Using linked data technologies the authors have created instance hubs to assist in the management and linking of entity references for collections of categorically and hierarchically related entities. Instance hubs are of particular interest to governments engaged in the publication of linked open government data, as they can help data consumers make better sense of published data and can provide a starting point for development of linked data applications. In this paper the authors present their findings from the ongoing development of a prototype instance hub at the Tetherless World Constellation at Rensselaer Polytechnic Institute (TWC RPI). The TWC RPI Instance Hub enables experimentation and verification of proposed URI design schemes for open government data, especially those developed at TWC in collaboration with the United States Data.gov program. They discuss core principles of the TWC RPI Instance Hub design and implementation, and summarize how they have used their instance hub to demonstrate the possibilities for authoritative entity references across a number of heterogeneous categories commonly found in open government data, including countries, federal agencies, states, counties, crops, and toxic chemicals.

scholarly journals DGABr: Metric for evaluating Brazilian open government data

2018 ◽  
Vol 28 (3) ◽  
Author(s):  
Patricia Nascimento Silva ◽  
Marta Macedo Kerr Pinheiro
Keyword(s):  
Public Information ◽  
The United States ◽  
Open Government ◽  
Doctoral Research ◽  
Brazilian Government ◽  
Proposed Model ◽  
Open Government Data ◽  
Public Data ◽  
Open Content ◽  
Government Data

Open Government Data (OGD) is the term used since 2007 to refer to open government data, that is, public data produced or commissioned by the public sector, available on the internet for free use. The availability of OGD was encouraged by initiatives for disclosure of data carried out in 2009 by the United States of America and these initiatives were developed in several countries. However, with the amount of public information disclosed by governments, the idea of open content has been increasingly associated to access to information. In Brazil, plans that regard information policies do not establish a standard with guidelines or models for OGD publication. Thus, in the absence of metrics to evaluate the initiatives of data openness by the Brazilian government and its reuse, this article presents the Brazilian metric DGABr, one of the results of a doctoral research. DGABr is a proposed model to evaluate the OGD in the Federal Public Administration of Brazil, based on metrics and international indicators. The experience from other countries regarding OGD evaluation directed the creation of the DGABr; however, Brazil’s legislation and information policies had a direct influence on OGD measurements. DGABr is an initial proposal to evaluate Brazil’s OGD and their reuse and should evolve with the country’s information policy. The proof of concept performed with the metric identified a positive result for the OGD evaluation, allowing validation of the perspectives and dimensions proposed in the metric and its potential reuse indicator.

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dan Wu ◽  
Hao Xu ◽  
Wang Yongyi ◽  
Huining Zhu
Keyword(s):  
Data Quality ◽  
Quality Evaluation ◽  
Health Data ◽  
Evaluation Framework ◽  
Open Government ◽  
Content Type ◽  
Government Health ◽  
Open Government Data ◽  
The Us ◽  
Government Data

PurposeCurrently, countries worldwide are struggling with the virus COVID-19 and the severe outbreak it brings. To better benefit from open government health data in the fight against this pandemic, this study developed a framework for assessing open government health data at the dataset level, providing a tool to evaluate current open government health data's quality and usability COVID-19.Design/methodology/approachBased on the review of the existing quality evaluation methods of open government data, the evaluation metrics and their weights were determined by 15 experts in health through the Delphi method and analytic hierarchy process. The authors tested the framework's applicability using open government health data related to COVID-19 in the US, EU and China.FindingsThe results of the test capture the quality difference of the current open government health data. At present, the open government health data in the US, EU and China lacks the necessary metadata. Besides, the number, richness of content and timeliness of open datasets need to be improved.Originality/valueUnlike the existing open government data quality measurement, this study proposes a more targeted open government data quality evaluation framework that measures open government health data quality on a range of data quality dimensions with a fine-grained measurement approach. This provides a tool for accurate assessment of public health data for correct decision-making and assessment during a pandemic.

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