Government Data Research Articles

Critical elements of successful partnership in public health-A case study.

Intersectoral action is integral in promoting population health and health equity. In South Australia, public health partnership authorities (PHPAs) are one mechanism to promote intersectoral collaboration for addressing complex public health issues. This case study examined contemporary evidence on the critical elements of successful partnerships, explored the role of formalisation in success, and examined how identified critical elements were operationalised over time in an existing PHPA. In the first phase, a scoping review was conducted. The second phase was a retrospective longitudinal case study of a government-academic PHPA agreement, involving partnership document review and key informant interviews. Data triangulation and iterative thematic analysis were performed. The critical elements of successful partnership, triangulated through multiple data sources, are mutuality, governance, communication, resources, leadership, and interactions and relationships. These elements have a high degree of interdependence. Trust supports and is reinforced by these elements, particularly during times of change or crisis. Formalisation of a partnership supports success in many ways but is insufficient on its own. Operating in dynamic environments, a partnership requires dedicated time and effort to be successful. Attention to the strength and interconnectedness of the critical elements over the course of a partnership is crucial. SO WHAT?: This case study describes how the elements of successful partnership can be applied to progress beyond transactional relationships towards authentic collaboration and overcome cross-border and cross-boundary public health challenges to promote population health and well-being.

Research on an Enterprise Profiling Technique Based on Government Big Data

With the development of modern society and global integration of the economy, as well as the domestic commercial system reform continues to promote the depth of the number of enterprises is growing rapidly, playing an important role in promoting the development of the national economy growth and stabilization of employment, while the number of small and medium-sized enterprise write-offs each year is also increasing. In order to better understand and grasp the comprehensive development quality of enterprises, taking Dongguan City as an example, by obtaining the operational data reported to the governmental system by enterprises in the process of operation, we put forward a method based on the processing of governmental big data to conduct research and application of the health of enterprise operation and development using the enterprise profiling technology, so as to provide data reference for the government to guide and cultivate enterprises.

The Impact of the Digital Economy on International Trade Models: Opportunities and Challenges

With the rapid development of the digital economy, international trade models are undergoing profound changes. Digital technology has reshaped traditional trade structures, driving the reorganization of global value chains and the rise of intangible assets. This paper explores the new characteristics of international trade in the context of the digital economy, including the transformation of trade structures driven by digitalization, the increasing importance of intangible assets in trade, and the influence of digital ecosystems. The digital economy has made trade processes more convenient and efficient, offering new globalization opportunities for emerging markets and small and medium-sized enterprises (SMEs), and promoting the growth of cross-border services and digital products. However, challenges remain, such as disparities in digital infrastructure, conflicts between digital governance and cross-border data flows, and the diversity of digital trade rules. This paper summarizes these opportunities and challenges and suggests future research directions to help policymakers, businesses, and technology providers navigate the complex landscape brought about by the digital economy.

Stuck in the middle with you: Conceptualizing data intermediaries and data intermediation services

Data intermediation services are a novel class of services mitigating various aspects of inter-organizational data sharing. Facilitating data intermediation services is a pivotal activity that leverages the benefits of the data economy. These services are usually provided by so-called data intermediaries, who organize data sharing between one or multiple data provider(s) and data consumer(s). Against the background of prominent legislation, these data intermediaries (e.g., data marketplaces or data trusts) receive increasing attention in research, practice, and politics. For instance, the Data Governance Act regulates data intermediation services, prompting organizations sharing data to comply with various regulations, including registration with government bodies or acquiring a trusted label. However, to date, little research has been done about the nature of data intermediation services, motivating us to tackle this issue in a two-fold strategy. First, we derive a visualization of a data intermediary and concept subsuming its potential functions. Second, we explore archetypical configurations of co-existing services of data intermediaries. With this, we contribute to understanding the data intermediaries as a concept and enrich this understanding with more detailed service configurations.

Cost-Effectiveness of Hepatitis E Vaccination Strategies among Patients with Chronic Liver Diseases in China: A Model-Based Evaluation.

Hepatitis E virus (HEV) is a leading cause of acute viral hepatitis worldwide, primarily transmitted through contaminated water and food. In patients with chronic liver disease (CLD), HEV infection might worsen the prognosis. This study aimed to evaluate the cost-effectiveness of hepatitis E vaccination strategies in CLD patients. A decision tree-Markov cohort model was used to assess the cost-effectiveness of universal-vaccination, vaccination-following-screening, and no-vaccination strategies in 100,000 CLD patients over their lifetimes, simulating cohorts aged ≥16 years, ≥40 years, and ≥60 years, based on the licensed vaccination ages and typical ages of CLD onset, from a societal perspective. Model parameters were retrieved and estimated from previous publications and government data. The outcomes included HEV-related cases, costs, and the incremental cost-effectiveness ratio (ICER). Compared to no-vaccination, universal-vaccination reduced HEV-related cases by 32.8% to 39.6%, while vaccination-following-screening reduced them by 38.1% to 49.3%. Furthermore, universal-vaccination showed ICERs of USD 6898.33, USD 6638.91, and USD 6582.69 per quality-adjusted life year (QALY) for cohorts aged ≥16, ≥40, and ≥60 years, respectively. Moreover, the vaccination-following-screening strategy significantly enhanced cost-effectiveness, with ICERs decreasing to USD 6201.55, USD 5199.46, and USD 4919.87 per QALY for the cohorts. Additionally, one-way sensitivity analysis identified the discount rate and utility for CLD patients as the key factors influencing ICER. Probabilistic sensitivity analysis indicated the vaccination-following-screening strategy was cost-effective with probabilities of 92.50%, 95.70%, and 95.90% for each cohort. Hepatitis E vaccination in CLD patients costs less than GDP per capita for each QALY gained in China. The vaccination-following-screening strategy may be the optimal option, especially in those over 60 years.

Occupational Electronic Health Records: Recommendations for the Design and Implementation of Information Systems in Occupational and Environmental Medicine Practice-ACOEM Guidance Statement.

Occupational and environmental medicine (OEM) clinicians require specialized electronic health records (EHRs) to address the privacy, data governance, interoperability, and medical surveillance concerns that are specific to occupational health. The American College of Occupational and Environmental Medicine (ACOEM) Section of Health Informatics evaluated clinical workflow concerns, assessed health information requirements, and developed informatics recommendations through iterative consultation with ACOEM members. The ACOEM presents 10 recommendations that specialized occupational EHR systems (OEHRs) should meet to serve the information needs and practice requirements of OEM clinicians. Common challenges in OEM practice and potential informatics solutions are used to illustrate each recommendation. The recommendations serve as a framework for occupational health clinicians to consider in their adoption of OEHRs and provide software engineers a set of requirements to facilitate the development and improvement of OEHRs.

Product differentiation in mineral commodities based on sustainability indicators: The case of copper mining

Metals are commonly characterized as commodities, as there are little to no differences across products. Despite this traditional view, there has been an increasing attempt to assess mineral production, including socioeconomic and environmental impacts, besides their financial performance. In this line, sustainability reports have been the fundamental tool to provide transparent and public information on these impacts, varying in quality and quantity across companies. Based on this premise, we analyze several indicators to assess the potential for differentiation in the copper mining industry. We consider mine site-level data on water withdrawal and greenhouse gas (GHG) emissions, publicly available from sustainability reports from companies operating in 20 countries representing almost 80% of global production. Socioeconomic and governance data is available nationally, which limits more detailed analysis in these aspects. Data gathering indicates that since 2017, copper companies have stabilized regarding the availability of data provided in sustainability reports.Results for copper mining show that water withdrawal is a leading indicator in terms of differentiation potential. Differentiation is higher when continental water is considered, creating a significant incentive for companies to invest in alternative water sources. Sustainability differentiation in copper mining disproportionately affects low-income countries when socioeconomic aspects are considered, mainly if governance measures are used. In this sense, high-income countries are more likely to support product differentiation based on responsible production standards.

The role of national heritage in shaping Germany’s public health and data governance

Abstract Aim This paper aims to explain how political culture has influenced the scope of prevention measures, disease surveillance, and health data integration strategies in the German health system to date. Subject and methods Political culture is a major determinant of national health policies in countries, defining the means and scope of governmental authority for ensuring population health. This paper explains the role of political culture in shaping prevention and health promotion measures in the German health system, based on a public policy theory. Results During the post-war period, the structure of the German health system was (re-)designed to focus on curative medicine at the expense of public health. Current prevention and health promotion measures, often characterised as ‘too little, too late’, lead to medical treatments that are ‘too costly, too risky’. Linking data sources in Germany today is much more challenging than in other European countries, with health-relevant data often remaining in isolated silos that could be used for population health. Conclusion The analysis suggests that the national heritage shaping the political culture in Germany had a great influence on the limited role of government intervention, the interpretation of public health, and the state’s role in collecting and processing health data of citizens for research and policymaking.

Neha Mishra, International Trade Law and Global Data Governance: Aligning Perspectives and Practices Hart Publishing, 2024

Neha Mishra, International Trade Law and Global Data Governance: Aligning Perspectives and Practices Hart Publishing, 2024

Research on the Construction of Scenarios for Blockchain to Empower Government Governance

This paper delves into the potential and practical challenges of blockchain in government governance. As a cutting-edge development in information and communication technology, blockchain offers unique capabilities in data management and value transfer, presenting new solutions for government governance. The article begins with an overview of the definition, connotation, and current application status of blockchain technology, and then constructs typical scenarios where blockchain technology empowers government governance, including electronic credentials, government data circulation, data resource sharing, collaborative office work, and digital rural revitalization. By realizing these scenarios, the paper analyzes the main problems and challenges faced by blockchain technology in government governance, such as inadequate infrastructure, data leakage risks, and difficulties in inter-departmental collaboration. Finally, a series of suggestions and prospects are put forward to promote the effective application of blockchain technology in digital government affairs, enhancing the transparency, efficiency, and intelligent level of government governance

RISK PROCESS MANAGEMENT: A CASE STUDY IN A FINANCIAL INSTITUTION

Purpose: The purpose of this study is to propose a new method for controlling the product "Financial Risk Management" in a multiple bank. The focus is on addressing Model Risk, particularly in the context of financial institutions, where reliance on incorrect statistical models can pose serious problems. Theoretical framework: Model Risk is the possibility of losses due to models with flaws, deficiencies or inadequacies in the development, implementation or use process. Model Risk is considered one of the main problems for financial institutions. With the advancement of technology and the use of more robust models, dependence on incorrect statistical models can cause serious problems for institutions, increasing the need for studies in the area. Methodology/Approach: To conduct the research, the institution's own survey was used, being applied to the analysis of the main financial models built in the last six months in the organization. As a result, the structure of this process was evaluated, action plans and control indicators were proposed, dividing them into the areas of: Data Governance, Systems, Data Quality and Reporting. With this categorization, it was also possible to create a Control Panel for each Area or Department, improving the management necessary to control Risk. Findings: The findings of the study involve the evaluation of the structure of the risk management process, with a particular focus on addressing Model Risk. The research proposes a new method for risk assessment within the context of "Financial Risk Management" in a multiple bank setting. Research, practical & social implications: In terms of research implications, the study contributes by proposing a novel method for controlling financial risk in a banking environment. The practical implication is the potential improvement in risk management processes within financial institutions. Socially, this research may contribute to the overall stability and reliability of financial systems. Originality/ Value: The originality of this study lies in its proposition of a new method for risk assessment within the domain of "Financial Risk Management" in a multiple bank setup. The value of the research is evident in addressing the critical issue of Model Risk, which can have substantial consequences for financial institutions. Keywords: Financial Institution, Financial Risk, Process Management.

Efforts to Introduce an Indigenous Identifier in a Canadian Provincial Health Authority

Across Canada, Indigenous identity data is not routinely collected in healthcare settings. This paper focuses on [province] and whether the largest and only province-wide healthcare services organization in Canada, [healthcare organization name] should implement an Indigenous identifier in their new electronic medical record system. Due to the current absence of an Indigenous identifier, it is difficult to identify Indigenous peoples in administrative healthcare data to guide healthcare decision-making specifically for Indigenous peoples and to assist with population-specific disease surveillance and prevention programs. Moreover, it is often challenging for Indigenous nations, communities, and organizations to access this data. The data that does exist in [province] frequently excludes large segments of the Indigenous population. Indigenous researchers globally have called for improved health data in alignment with Indigenous research principles, data governance and sovereignty. This paper reports on an exploratory study of potential avenues to enhance availability of Indigenous specific health data in [province]. Of interest are possible supports, concerns, and potential barriers for the introduction of a policy to collect self-disclosed Indigenous identity data in the [org] new electronic medical record system. This research included interviews and focus group sessions with diverse subject matter experts including academics, Indigenous health practitioners and healthcare administrators. The project was embedded in the [removed] which is an [province] based research network for improving primary health with and for Indigenous peoples

The application of continuous audit and monitoring methodology: A government medication procurement case

In the government procurement process, waste and abuses are hard to avoid, and there are usually latencies between the event occurrence and detection works. The continuous audit methodology has been adopted by many public and private firms to actively monitor transactions and detect possible anomalies. Compared to the adoptions in the private sector, implementations of continuous audit and monitoring of government procurement analyses are limited. This study applies the continuous monitoring and audit methodology to the medication procurement data of a Brazilian city government, and it aims to help internal auditors identify exceptions and anomalies in procurements for further investigation. By introducing the comparison of exogenous data, this study further provides cost management opportunities.

Twenty years of volcano data at GeoNet—collection, custodianship, and evolution of open data on New Zealand’s volcanoes

The GeoNet programme at GNS Science has monitored and managed data for volcanoes, earthquakes, landslides, and tsunami in Aotearoa New Zealand since 2001. Volcano monitoring data are collected from seismometers, acoustic sensors, GNSS receivers, webcams, remote gas monitoring sensors, and a range of environmental sensors, as well as manually during visits to volcanoes. The primary user of volcano data is the internal cross-specialised Volcano Monitoring Group (VMG), which fulfils the role of the national volcano observatory. GeoNet concentrates on automatic data collection and analysis, while supporting members of the VMG with manual data collection and interpretation. The application of open-data principles to both data and metadata has always been a core aspect of GeoNet; responses have been overwhelmingly positive, despite concerns regarding some high value, manually collected datasets. The website www.geonet.org.nz represents the primary data access portal. Data analysis and delivery applications are organised by data type rather than hazard, with no volcano-specific data applications. Most datasets have web-based and API delivery application options; both provide standard data formats from a cloud-based archive. One of the challenges for volcano data collection and management has been shifting from a reliance on manually collected data to automatic collection. Additionally, awareness of important questions related to Indigenous Māori data governance is increasing, although the associated impact is not yet understood. Overall, the current centralised, cooperative volcano monitoring and data collection and management system, which benefits from improved efficiency, interoperability, and data quality, has proved effective in Aotearoa New Zealand. Ongoing work aims to ensure optimal data collection and management for volcano monitoring and downstream activities.

Toward building a comprehensive human pan-genome: The SEN-GENOME project

The human reference genome (GRCh38), primarily sourced from individuals of European descent, falls short in capturing the vast genetic diversity across global populations. Efforts to diversify the reference genome face challenges in accessibility and representation, exacerbating the scarcity of African genomic data crucial for studying diseases prevalent in these populations. Sherman etal. proposed constructing reference genomes tailored to distinct human sub-populations. Their African Pan-Genome initiative highlighted substantial genetic variation missing from the GRCh38 human reference genome, emphasizing the necessity for population-specific genomes. In response, local initiatives like the Senegalese Genome project (SEN-GENOME) have emerged to document the genomes of historically overlooked populations. SEN-GENOME embodies community-driven decentralized research. With meticulous recruitment criteria and ethical practices, it aims to sequence 1,000 genomes from 31 ethnolinguistic groups, in the fourteen administrative regions of Senegal, fostering local genomic research tailored to the region. The key to SEN-GENOME's success is its commitment to local governance of data, capacity building, and integration with broader pan-genome projects in Africa. Despite the complexities of data harmonization and sharing, our collaborative efforts are aligned with common goals, ensuring steady progress toward a comprehensive human pan-genome. We invite and welcome collaboration with other research entities to achieve this shared vision. In summary, local initiatives such as SEN-GENOME are pivotal in bridging genomic disparities, offering pathways to equitable and inclusive genomic research. Collaborative endeavors guided by a collective vision for human health will propel us toward a more encompassing understanding of the human genome and better health through genomic medicine.

Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies

AbstractThis paper presents a novel methodology for integrating indigenous knowledge systems into AI development to counter cognitive imperialism and foster inclusivity. By critiquing the dominance of Western epistemologies and highlighting the risks of bias, the authors argue for incorporating diverse epistemologies. The proposed framework outlines a participatory approach that includes indigenous perspectives, ensuring AI benefits all. The methodology draws from AI ethics, indigenous studies, and postcolonial theory, emphasizing co-creation with indigenous communities, ethical protocols for indigenous data governance, and adaptation of AI algorithms. Case studies in natural language processing, content moderation, and healthcare demonstrate the methodology’s effectiveness and importance. By offering a concrete methodology for decolonizing AI, this paper contributes significantly to AI ethics and social justice, providing a roadmap for equitable, culturally respectful AI.

2024 Governance of artificial intelligence and data in Australasian higher education

This whitepaper is a follow-up of the Australasian Council of Open and Digital Education (ACODE) survey in 2023 on the governance of artificial intelligence (AI) and data in Australasian higher education (Selvaratnam & Venaruzzo, 2023). The results then showed the guidelines and policies in this space were still in the early days. Ethical implications were also emerging in tandem with initiatives and the adoption of generative AI in institutions. The latest survey conducted over July and August 2024 is 24 is picking up on the recommendations of the 2023 paper to inform recommendations for practice and further assure quality and equity in higher education. To this end, the JISC AI Maturity Model for Education is used to gauge the sector’s growth in the governance of AI and data both in policy and practice. The outcomes show that the sector is mainly at the experimenting and exploring stage of maturity in engaging with AI. The challenges were mainly in operationalising AI in a comprehensive manner across the enterprise, including increasing AI literacy across staff and students. More institutions are addressing the ethical implications of AI since the last survey; however, it appears that social and emotional wellbeing, and psychological safety still have to be carefully considered.

The effects of fınancıal pressure polıcıes on economıc growth: The case of OECD countries

In this study, the effects on economic growth of financial pressure policies applied in OECD countries are examined. For this purpose, the “financial pressure index (FPI)” was calculated by using 10- year data for 2010–2020 from 37 OECD countries and “growth rates” were obtained. The FPI was calculated using (i) loans extended to the pri¬vate sector, (ii) loans extended to the central government, (iii) interest payments and (iv) inflation rate data. In calculating FPI, first of all, the data was standardized. Following the standardization process, the data was weighted using Principal Component Analysis (PCA) to calculate the FPI. After weighting the data, each standardized value was aggregated by multiplying it by its own weighted value, and the final FPI was ultimately calculated. Economic growth rates were calculated as a percentage of GDP. Finally, the analysis was carried out by comparing the calculated FPI with the economic growth rates. According to the results of the analysis, the coefficient of FPI was statistically significant (p < 0.05). In this context, every 1-point increase in FPI reduced GDP by 0.178 points.

System interoperability and data linkage in the era of health information management: A bibliometric analysis.

Background: Across the world, health data generation is growing exponentially. The continuous rise of new and diversified technology to obtain and handle health data places health information management and governance under pressure. Lack of data linkage and interoperability between systems undermines best efforts to optimise integrated health information technology solutions. Objective: This research aimed to provide a bibliometric overview of the role of interoperability and linkage in health data management and governance. Method: Data were acquired by entering selected search queries into Google Scholar, PubMed, and Web of Science databases and bibliometric data obtained were then imported to Endnote and checked for duplicates. The refined data were exported to Excel, where several levels of filtration were applied to obtain the final sample. These sample data were analysed using Microsoft Excel (Microsoft Corporation, Washington, USA), WORDSTAT (Provalis Research, Montreal, Canada) and VOSviewer software (Leiden University, Leiden, Netherlands). Results: The literature sample was retrieved from 3799 unique results and consisted of 63 articles, present in 45 different publications, both evaluated by two specific in-house global impact rankings. Through VOSviewer, three main clusters were identified: (i) e-health information stakeholder needs; (ii) e-health information quality assessment; and (iii) e-health information technological governance trends. A residual correlation between interoperability and linkage studies in the sample was also found. Conclusion: Assessing stakeholders' needs is crucial for establishing an efficient and effective health information system. Further and diversified research is needed to assess the integrated placement of interoperability and linkage in health information management and governance. Implications: This research has provided valuable managerial and theoretical contributions to optimise system interoperability and data linkage within health information research and information technology solutions.

Digital Data Protection Laws : A Review

Over the past couple of years, India has noted the significance of digital data and its protection. This article talks about the arising and present regime of India’s laws on digital data protection, specifically diving into the Digital Personal Data Protection Act, 2023. This act has tried to balance the scales between individual privacy rights and the economic growth that needs to be brought about by data-driven economic progress. A comparative study regarding data protection laws in the UK and US have been established, and this has been compared with DPDP 2023 in order to provide suggestions for improvements for the act. This paper examines various provisions, objects, and shortcomings of the DPDP Act, bringing into sharper focus areas of concern, notably government exemptions, data localization, and inadequacies in regard to a strong data protection authority. The article concludes with comparative analysis to shed light on strengthening the data protection regime in India and also makes some recommendations for future legislation in the light of emerging technologies like AI.