Open Government Data Use in the Brazilian States and Federal District Public Administrations

This research investigates whether, why, and how open government data (OGD) is used and reused by Brazilian state and district public administrations. A new online questionnaire was developed and collected data from 26 of the 27 federation units between June and July 2021. The resulting dataset was cleaned and anonymized. It contains an insight on 158 parameters for 26 federation units explored. This article describes the questionnaire metadata and the methods applied to collect and treat data. The data file was divided into four sections: respondent profile (identify the respondent and his workplace), OGD use/consumption, what OGD is used for by public administrations, and why OGD is used by public administrations (benefits, barriers, drivers, and barriers to OGD use/reuse). Results provide the state of the play of OGD use/reuse in the federation units administrations. Therefore, they could be used to inform open data policy and decision-making processes. Furthermore, they could be the starting point for discussing how OGD could better support the digital transformation in the public sector.

Public Administration Curriculum-Based Big Data Policy-Analytic Epistemology

The equilibration that underscores the internet of things (IoT) and big data analytics (BDA) cannot be underestimated at the behest of real-life social challenges and significant policy data generated to redress the concerns of epistemic communities, such as political policy actors, stakeholders, and the citizenry. The cognitive balancing of new information gathered by BDA and assimilated across the IoT is at the crossroads of ascertaining how the growing increases of such BDA can be better managed to transition from the big data state of disequilibration to reach a more stable equilibrium of policy data usefulness. In the quest for explicating the equilibration of policy data usefulness, an account of the curriculum-based MPA policy analysis and analytics concentration program at Norwich University is described as a case example of big data policy-analytic epistemology. The case study offers a symbolic ideology of an IoT action-learning solution model as a recommendation for fostering the stable equilibration of policy data usefulness.

The Republic of Ireland in the Context of the COVID-19 Pandemic: Seeking a Way out of the National Crisis

The article outlines the Government of the Republic of Ireland response to the COVID-19 pandemic and explores implemented measures to overcome the negative changes caused by the coronacrises in economic, political, and social life. The study examines the period from March 2020 to June 2021, when the country experienced three waves of pandemic. It required the adoption of unique rapid measures. The problems caused by the increase in the incidences of coronavirus are considered in the context of the global crisis along with the realities of the EU and the specifics of the development of Ireland. There is no doubt that the strategy chosen by the Government of the Irish State has reduced the damage from the first wave of the pandemic as much as possible, stopped the rapid growth of the disease during the second round and continues to contain the infection and carry out recovery measures at the present stage. Transparency, a commitment to an open data policy, the use of media to inform the population have led to a high level of compliance among the general public with the various medical and non-medical measures introduced by the Irish Government.

Alternatif Perumusan Kebijakan Pemulihan Ekonomi Nasional dalam Masa Pandemi Covid19

The purpose of this research is to explore the process of national economic recovery policy formulation, how it was regulated, and searching the alternatives to overcome economic problems along with its benefit and value for businesses and the general public amidst the covid19 pandemic. The qualitative descriptive method is utilized based on the systematic literature review of secondary data. Policy alternatives are determined by comparing policies in two countries, Indonesia and the United States of America. By observing the impact and cause beyond the scope, policy alternatives could be more easily identified, selected, and implemented according to their political feasibility. In accordance with identifying policy alternatives model which divide into two categories, Indonesia’s government employed temporary research analysis while United States federal governments were applying status quo analysis.

Climate-Biogeochemistry Interactions in the Tropical Ocean: Data Collection and Legacy

From 2008 to 2019, a comprehensive research project, ‘SFB 754, Climate – Biogeochemistry Interactions in the Tropical Ocean,’ was funded by the German Research Foundation to investigate the climate-biogeochemistry interactions in the tropical ocean with a particular emphasis on the processes determining the oxygen distribution. During three 4-year long funding phases, a consortium of more than 150 scientists conducted or participated in 34 major research cruises and collected a wealth of physical, biological, chemical, and meteorological data. A common data policy agreed upon at the initiation of the project provided the basis for the open publication of all data. Here we provide an inventory of this unique data set and briefly summarize the various data acquisition and processing methods used.

Cross-functional policy development for a Data Repository

Policy can articulate the scope of work. For repositories that house data, policy can help users manage expectations,especially for individuals who are new to data sharing, or where expectations for sharing data havechanged. We cover some of the current literature around the process for writing policy, specifically focusingon policy for data collections and repositories, factors that encouraged us to create a repository policy, ourcollaborative process for creating the policy, and lessons learned. We hope that others can use our processesto build their own policy that reflects the needs of their campuses and scholars and further moves the needletoward the “Library as Publisher” model.

The Challenges of Open Data Movement for Education: What is the Say of Young Employees and Students in Croatia?

This paper aims to shed light on how students and young employees in Croatia assess their education for open data and what is their opinion on the compliance of the central Open Data Portal with the needs of young people as well as how they evaluate open data policy related to the young people in Croatia. This research highlights the lack of technical knowledge as a serious obstacle to the productive use of open data. As many as 56% of respondents from companies that have undergone digital transformation believe that they do not have enough knowledge to participate in open data projects, and the same scepticism is expressed by 59.6% of non-technical respondents and 45.7% of students. The data presented in this paper is part of a broader empirical research on the impact of digitalization on the transformation of the Croatian economy, carried out by the author in late 2018 on a sample of 51 young employees from 10 companies in the city of Zagreb and 70 students from 16 technical and non-technical Faculties of Zagreb University.

Disparities in Native Hawaiian and Pacific Islander COVID-19 Mortality: A Community-Driven Data Response

As of March 2021, Native Hawaiians and Pacific Islanders (NHPIs) in the United States have lost more than 800 lives to COVID-19—the highest per capita death rate in 18 of 20 US states reporting NHPI deaths. However, NHPI risks are overlooked in policy discussions. We discuss the NHPI COVID-19 Data Policy Lab and dashboard, featuring the disproportionate COVID-19 mortality burden for NHPIs. The Lab democratized NHPI data, developed community infrastructure and resources, and informed testing site and outreach policies related to health equity.

Incentive mechanisms for government officials' implementing open government data in China

PurposeThe purpose of this paper is to analyze the factors influencing the behaviors of government officials during the implementation of open government data (OGD). By identifying and understanding the key factors that determine government officials' adoption of OGD in China, this study can create a valuable reference for other countries and their decision-making regarding government implementation of OGD.Design/methodology/approachThis research collected data by in-depth interviews with government officials in Chinese OGD departments. Through these interviews, the authors consulted 15 administrators from departments that are responsible for the information tasks in Beijing and other cities on their opinions about OGD. The authors also interviewed senior executives from information technology (IT) companies, as well as open data policy scholars from big data alliance and research institutions.FindingsThis paper provides insights about how to promote government officials in OGD implementation, including (1) strengthen social supervision for the environment, through developing and publishing OGD technology roadmaps, then attracting the public to actively participate in the implementing of OGD; (2) establish an OGD assessment mechanism for government officials, with bonus motivations, position promotion incentives, as well as spiritual incentives via regional or sector rankings; (3) alleviate the risks of officials' OGD decisions in actual practice, using the institution construction of OGD to guide its direction and strengthen security protection.Originality/valueThis paper fulfils an identified need to study how government officials' behavior can be motivated on OGD implementation.

Towards a governance assessment framework for geospatial data: A policy coherence evaluation of the geospatial data policy in Flanders

Governance Assessment Frameworks allow the identification of implementation bottlenecks and they can propose answers to the identified challenges. However, no assessment framework has been developed to 1) understand how governance factors can affect the development and use of geospatial data (GD) and 2) to allow comparison across different governance contexts. Previous research proved that GD and governance are highly interrelated. Understanding the relevance of policy coherence, and aiming to address the aforementioned gap, we propose the Coherence Assessment Framework for Geospatial Data (CAFGD). CAFGD objective is to contribute to the GD governance literature from an implementation perspective. CAFGD is based on two existing frameworks: 1) the Framework to Support Institutional Arrangements in Geospatial Information Management (FSIAGIM) (Crompvoets and Ho, 2017, 2019) and 2) the Governance Assessment Tool (GAT) (Bressers et al., 2016a). CAFGD uses as governance dimensions the seven structural instruments of FSIAGIM, classified under the hierarchy, market and network governance approach and uses as evaluative quality coherence from GAT. In order to demonstrate the application of CAFGD, we have selected the region of Flanders in Belgium to analyze its GD policy coherence. Our results conclude that coherence is higher in the instruments related to hierarchy. Therefore, coherence is higher among the public sector actors when comparing with the private sector actors. The relation to this sector corresponds to the market and network instruments.