Data Governance Strategy Research Articles

Our Data, Our Truths, Our Voice: Reclaiming First Nations Data Sovereignty in Manitoba

BackgroundIndigenous data sovereignty applies to the collection, ownership, and application of data about Indigenous peoples, lands, and resources. ObjectivesTo support and expand Manitoba First Nations (FNs) data sovereignty by strengthening capacity and policies related to the ownership, repatriation, and governance of FNs health data. ApproachIn March of 2022, the Chiefs of the 63 First Nations in Manitoba adopted a resolution to mandate FNHSSM to implement the First Nations Data Governance Strategy. FNHSSM Data Sovereignty Team has conducted extensive engagement with FNs (including youth, Knowledge Keepers, urban members, 2SLGBTQIA+ members, health directors, and more) to identify current priorities for data collection, research, policy, and training. Basic analysis was done to determine the frequency with which each theme and sub-theme were discussed. ResultsBased on the engagement sessions themes that refer to traditional FNs cultural practices and knowledge represented a major priority for all groups, including the integration of strength-based indicators of wellbeing. Overall, FNs have reinforced the urgent need to exert ownership over community health data under the principles of data sovereignty. The health directors top three themes include: (1) data repatriation, (2) governance, ethics, and privacy and, (3) mental health, substance use, violence and poverty. ConclusionsThrough engagement, we have identified data needs (including access, training, policies), data topics (health priorities, traditional practices), and data uses (advocacy, repatriation, research) that are unique to FNs in Manitoba. Our team is working in collaboration with FNs to gain greater control over their data, enhance their data analysis capabilities, and ensure the protection of privacy and culture. ImplicationsOperationalizing data sovereignty will support evidence-based decision making, research capacity, governance, and ultimately, self-determination.

The Impact of Open Data Implementation on Entrepreneurial Attitude with Regard to Moving towards UN Sustainability Goals

This study aimed to investigate the impact of open data implementation as part of its data governance initiatives on entrepreneurial attitudes in Europe and Central Asia. The impact of open data implementation in transforming entrepreneurial attitudes in Europe and Central Asia has never been determined or investigated in a measurable form. Using regression (OLS) analysis of secondary data on the open data implementation index from the Open Data Barometer (ODB) and the Entrepreneurial Attitude index from GEI, this study investigates the impact of open data implementation (as a national data governance strategy) on entrepreneurial attitudes in Europe and Central Asia. This study introduces a novel approach by integrating open data implementation into the analysis of entrepreneurial attitudes, a perspective yet to be explored in the context of Europe and Central Asia, thereby advancing our understanding of sustainable development goals. The study establishes a causation of the 32% impact of open data implementation on entrepreneurship attitudes toward recognizing opportunities in Europe and Central Asia. This study advocates for the establishment of a comprehensive national open data initiative as a catalyst for fostering entrepreneurial attitudes within Europe and Central Asia. Moreover, it emphasizes the importance for entrepreneurs to cultivate the necessary attitude for achieving their business objectives successfully. The study recommends further investigation using a recent dataset. The study’s findings improve the understanding of how to induce entrepreneurship attitudes in Europe and Central Asia in pursuit of post-pandemic economic development.

Water Utilities Need Effective Data Management

For water utilities to succeed with technology implementation, they should establish effective data management through in‐depth analysis, centralized data, and a disciplined data governance strategy.

Long-Arm Jurisdiction in Cross-Border Data Flows: EU-US Gaming and Balancing

In the era of digital economy, the power struggle and legal challenges arising from cross-border data flows have become increasingly prominent, making data governance a focal topic in the international community. Countries are competing and cooperating in formulating rules on cross-border data flows, as this phenomenon becomes more significant with the global popularity and rapid development of big data-based digital products like ChatGPT. As traditional powers in this field, the United States and the European Union have established long-arm jurisdiction systems with unique characteristics and have engaged in multiple rounds of fierce gamesmanship over dominance in global data flow governance standards, while constantly seeking power balance in bilateral cooperation. Through historical research, comparative analysis, and case studies, this paper analyzes and summarizes the governance principles, regulatory models, and competitive and compromising processes of transatlantic data flows, leading to the conclusion that Chinas data governance strategy should balance data security and data freedom, while transforming its approach to regulating data outflows and emphasizing the importance of efficiency values in maintaining data sovereignty. By expanding international cooperation and promoting the signing of regional data flow agreements, China can enhance its voice in the global data governance system.

Meeting the demands of change : A clear path to a better digital enterprise architecture

The COVID-19 pandemic has brought more change in corporate real estate (CRE) than ever before. CRE teams are now working closely with human resource (HR) teams to consider not only locations and buildings but also the experiences of the employees. This change has brought forth the opportunity to reconsider the way we collect and access data as well as the limitations of entire product ecosystems currently in use. This can be a significant and daunting task, but it does not have to be. The right product ecosystem can serve a central role in the pursuit of comprehensive data to support your data governance strategy. Starting out by understanding the changes that have occurred, key technology considerations and the issues and needs facing the business will help to make the process more manageable. This paper makes the case that better strategic decisions start by committing to taking the first step towards facing change.

Against data individualism: Why a pandemic accord needs to commit to data solidarity

AbstractAn accord to increase global pandemic preparedness is currently negotiated at the World Health Organisation (WHO). One aspect is conspicuously missing from the draft version: data governance. As the COVID‐19 pandemic has shown, the availability of good quality data, and prudent ways of using this data while preventing other forms of data use that is harmful to people and communities, is literally a matter of life and death. It is of utmost importance for the pandemic accord to include a data governance strategy. We argue that data solidarity provides a suitable foundation for such a data governance strategy in the context of pandemics. It includes instruments to facilitate data use in cases where data use is likely to create benefits for many people without entailing high risks for individuals or communities. Data solidarity also calls to refrain from data use in cases where it would pose unacceptable risks. Finally, data solidarity helps to mitigate harm where it occurs. In sum, data solidarity helps to enhance the benefits from digital practices in health crises without playing out collective interests against the rights and needs of individuals.

Open Data: A National Data Governance Strategy for Open Science and Economic Development - A case study of the United Arab Emirates

Open science is data-based endeavor. It requires scientific collection and analysis to arrive at findings, that explains a phenomenon. Data are either primary or secondary. In a post pandemic world, restrictions are posing challenges to the collection of primary data for scientific analysis purpose. This is due to limited financial and/or time resources and/or some form of social distancing. A sustaining alternative for open science program is secondary data. These are data collected by a credible source like government and reputable organizations (Chinelo Igwenagu, 2016; Morgan & J.Harmon, n.d.). How accessible are open data for open science in the MENA region? The difficulty and/or unavailability of data poses a challenge to open science practices in the MENA region. This paper intends to investigates open data for open science and economic development in the United Arab Emirates (UAE) as a leading country in the MENA region. The aim is to identify the region’s open data and open science gaps based on the Open Data Barometer (ODB) framework and proffer insight for optimization, using the national data governance approach of Open data as per the Open Data Charter (ODC) principles of 2015. This study reviews a 63 randomly selected list of government entities & ministries open data practices in the UAE. Potential findings will help assess open data and open science strategy in the region. This is significant because it will draw the attention of MENA government and stakeholders to the gaps and opportunities in the revival of a post pandemic economy. It could also serve as a model for other MENA nations in their pursuance of all-round development.

A guiding framework for creating a comprehensive strategy for mHealth data sharing, privacy, and governance in low- and middle-income countries (LMICs).

With the numerous advances and broad applications of mobile health (mHealth), establishing concrete data sharing, privacy, and governance strategies at national (or regional) levels is essential to protect individual privacy and data usage. This article applies the recent Health Data Governance Principles to provide a guiding framework for low- and middle-income countries (LMICs) to create a comprehensive mHealth data governance strategy. We provide three objectives: (1) establish data rights and ownership to promote equitable benefits from health data, (2) protect people through building trust and addressing patients' concerns, and (3) promote health value by enhancing health systems and services. We also recommend actions for realizing each objective to guide LMICs based on their unique mHealth data ecosystems. These objectives require adopting a regulatory framework for data rights and protection, building trust for data sharing, and enhancing interoperability to use new datasets in advancing healthcare services and innovation.

When digital technology innovation enhances Indigenous Peoples’ e-participation in climate change resilience-building: perspectives under the “e-GIS Smart, Inclusive, and, Climate-resilient Indigenous Peoples Landscape and Community Clearing-House Mechanism Solution”

Web-based multilingual tools to facilitate communication between Local and Indigenous Communities is an environmental technology approach emerging under the United Nations Biodiversity Global Agenda. To better address present climate resilience-building challenges in the current smart world, this contribution presents innovative avenues leading to the development of the « e-GIS Smart, Inclusive, and, Climate-resilient Indigenous Peoples Landscape and Community Clearing-House Mechanism Solution » which is meant to be used in the mobile-friendly website environment and the e-app environment. This technology policy paper shows that digital GIS, remote sensing products of observation satellites, and smartphone applications products derived from telecommunication satellites can help facilitate Indigenous Peoples’ contribution to climate resilience-building within their territories in terms of biodiversity and within their communities in terms of poverty eradication throughout the implementation of the United Nations Indigenous Peoples’ Affairs Global Agenda. The methodology used consists, therefore, of a plural technology interface that promises, among many other benefits, to facilitate Indigenous Peoples’ participation in decision-making processes. This research reminds us of the importance of state responsibility in these matters. It shows the importance of Indigenous Peoples’ participation in the implementation of global instances’ agendas through national reporting. It highlights the key role of Indigenous information decolonization and governance as principles of Indigenous Peoples’ sovereignty over Indigenous information. The results of this research are illustrated with case studies, when possible, to show the potential of the Solution to achieve its goals in climate resilience-building in Indigenous Peoples Landscapes and Communities with Indigenous Peoples and the financial support of state governments and inter-governmental institutions. In Canada, the use of the Solution to move forward in the Indigenous Peoples Affairs’ agenda, has the potential, among others, to enhance the expected outcome of the Canadian First Nations Data Governance Strategy (FNDGS) which is adopted as a response to an evolving smart planet to ensure no First Nation is left behind.

What Causes Waterlogging?—Explore the Urban Waterlogging Control Scheme through System Dynamics Simulation

It is a common phenomenon in cities that waterlogging affects people’s normal life. It is of great significance for targeted transformation and upgrading to identify the risk factors of urban waterlogging. This paper collected the waterlogging data of Tianjin in China, analyzed the coupling mechanism among waterlogging risk factors of urban drainage systems, and then selected the system dynamics theory and the Vensim software as the analysis tools due to the mixing characteristic and the limited availability of data. After that, the sensitive factors were identified by model simulation and sensitivity analysis, and the prominent impact of urban expansion on waterlogging risk was discussed. Then, through the comparison of the three simulation scenarios, it was found that, compared with the urban development focus shifting strategy, the strategies of sponge city reconstruction and management optimization could achieve the risk control goal within a shorter time. On this basis, two kinds of governance schemes with strong operability were put forward, which were the data governance strategy and the sponge city reconstruction strategy of giving priority to old urban areas. According to the simulation results, a city can reverse the increasing trend of waterlogging risk within ten years under the appropriate scheme. Furthermore, the paper puts forward the strategic reimagining of the rural revitalization strategy and the ecological restoration strategy for the long-term sustainable development transformation of Tianjin.

A Data Governance Maturity Assessment: A Case Study of Saudi Arabia

Nowadays, data has become important and influences the decision-making process on government and business sectors. Data governance strategy should not be underestimated because it increases the value of data and minimize data-related cost and risk. The data governance concept promotes the accomplishment of organizational objectives by developing and implementing an appropriate strategy for processing data in perfect and secure manner. This study aims to assess the maturity of data governance for Saudi sectors by design a framework and using it to measure whether the data governance have been applied or not. To do so, we have designed a questionnaire based on five criteria for assessing the current state of data governance implementation which are: policies and standards of data management, data quality, risk of poor data quality, cost of data correction, and data security. The questionnaire was then distributed to the employees in the IT department or who are related to data management or data security in Saudi sectors either government or private. The results show that approximately 48% of the respondents stated that they have a data governance committee in the sectors in which they work. Also, 55% of the respondents indicated that there are legislation and regulations for data governance in the sectors, as well as for making data available. Moreover, 42% from the respondents stated that their organizations have policies and procedures to enforce data management

Administrative data linkage and its usefulness in public health: the case of EcuadorVinculação de dados administrativos e sua utilização em saúde pública: o caso do Equador

RESUMENLos objetivos de este artículo son describir las características del abordaje de vinculación de bases de datos administrativos y sus usos en investigación en salud pública, y discutir las potencialidades y retos para su implementación en Ecuador. La vinculación de bases de datos permite integrar datos de una misma persona dispersos en distintos subsectores como salud, educación, justicia, inmigración y programas sociales, y posibilita investigaciones que informen una gestión más eficiente de programas y políticas sociales y de salud. Las principales ventajas del uso de bases de datos relacionadas son la diversidad de datos, la cobertura poblacional, la estabilidad temporal y el costo menor en comparación con la recolección de datos primarios. A pesar de la disponibilidad de herramientas para procesar, vincular y analizar grandes conjuntos de datos, el uso de este abordaje es mínimo en los países de América Latina. Ecuador tiene un alto potencial para explotar este abordaje, debido a la obligatoriedad del uso de un identificador único en la prestación de servicios de salud, que permite la vinculación con otros sistemas de información nacionales. Sin embargo, enfrenta una serie de retos técnicos, ético-legales, culturales y políticos. Para aprovechar su potencial, Ecuador necesita desarrollar una estrategia de gobernanza de datos que incluya normativas de acceso y uso de los datos, de manera simultánea con mecanismos de control y calidad de los datos, una mayor inversión en formación profesional en el uso de los datos dentro y fuera del sector salud, y colaboraciones entre entidades gubernamentales, universidades y organizaciones de la sociedad civil.

Open data governance: civic hacking movement, topics and opinions in digital space

The expression ‘open data’ relates to a system of informative and freely accessible databases that public administrations make generally available online in order to develop an informative network between institutions, enterprises and citizens. On this topic, using the semantic network analysis method, the research aims to investigate the communication structure and the governance of open data in the Twitter conversational environment. In particular, the research questions are: (1) Who are the main actors in the Italian open data infrastructure? (2) What are the main conversation topics online? (3) What are the pros and cons of the development and use (reuse) of open data in Italy? To answer these questions, we went through three research phases: (1) analysing the communication network, we found who are the main influencers; (2) once we found who were the main actors, we analysed the online content in the Twittersphere to detect the semantic areas; (3) then, through an online focus group with the main open data influencers, we explored the characteristics of Italian open data governance. Through the research, it has been shown that: (1) there is an Italian open data governance strategy; (2) the Italian civic hacker community plays an important role as an influencer; but (3) there are weaknesses in governance and in practical reuse.

Emerging procurement technology: data analytics and cognitive analytics

PurposeThe purpose of this paper is to elucidate the emerging landscape of procurement analytics. This paper focuses on the following questions: what are the current and future state of procurement analytics?; what changes in the procurement process will be required to enable integration of analytical solutions?; and what future areas of research arise when considering the future state of procurement analytics?Design/methodology/approachThis paper employs a qualitative approach that relies on three sources of information: executive interviews, a review of current and emerging technology platforms and a small survey of subject matter experts in the field.FindingsThe procurement analytics landscape developed in this research suggests that the authors will continue to see major shifts in the sourcing and supply chain technology environment in the next five years. However, there currently exists a low usage of advanced procurement analytics, and data integrity and quality issues are preventing significant advances in analytics. This study identifies the need for organizations to establish a coherent approach to collection and storage of trusted organizational data that build on internal sources of spend analysis and contract databases. In addition, current ad hoc approaches to capturing unstructured data must be replaced by a systematic data governance strategy. An important element for organizations in this evolution is managing change and the need to nourish an analytic culture.Originality/valueWhile the majority of forward-looking research and reports merely project broad technological impact of cognitive analytics and big data, much of it does not provide specific insights into functional impacts such as the impact on procurement. The analysis of this study provides us with a clear view of the potential for business analytics and cognitive analytics to be employed in procurement processes, and contributes to development of related research topics for future study. In addition, this study suggests detailed implementation strategies of emerging procurement technologies, contributing to the existing body of the literature and industry reports.

Sharing data for future research'engaging participants' views about data governance beyond the original project: a DIRECT Study

PurposeBiomedical data governance strategies should ensure that data are collected, stored, and used ethically and lawfully. However, research participants' preferences for how data should be governed is least studied. The Diabetes Research on Patient Stratification (DIRECT) project collected substantial amounts of health and genetic information from patients at risk of, and with type II diabetes. We conducted a survey to understand participants' future data governance preferences. Results will inform the postproject data governance strategy. MethodsA survey was distributed in Denmark, Sweden, The Netherlands, and the United Kingdom. ResultsIn total 855 surveys were returned. Ninety-seven percent were supportive of sharing data postproject, and 90% were happy to share data with universities, and 56% with commercial companies. The top three priorities for data sharing were highly secure database, DIRECT researchers to monitor data used by other researchers, and researchers cannot identify participants. Respondents frequently suggested that a postproject Data Access Committee should involve a DIRECT researcher, diabetes clinician, patient representative, and a DIRECT participant. ConclusionPreferences of how data should be governed, and what data could be shared and with whom varied between countries. Researchers are considered as key custodians of participant data. Engaging participants aids in designing governance to support their choices.

Data Governance Taxonomy: Cloud versus Non-Cloud

Forward-thinking organisations believe that the only way to solve the data problem is the implementation of effective data governance. Attempts to govern data have failed before, as they were driven by information technology, and affected by rigid processes and fragmented activities carried out on a system-by-system basis. Until very recently, governance has been mostly informal, with very ambiguous and generic regulations, in siloes around specific enterprise repositories, lacking structure and the wider support of the organisation. Despite its highly recognised importance, the area of data governance is still underdeveloped and under-researched. Consequently, there is a need to advance research in data governance in order to deepen practice. Currently, in the area of data governance, research consists mostly of descriptive literature reviews. The analysis of literature further emphasises the need to build a standardised strategy for data governance. This task can be a very complex one and needs to be accomplished in stages. Therefore, as a first and necessary stage, a taxonomy approach to define the different attributes of data governance is expected to make a valuable contribution to knowledge, helping researchers and decision makers to understand the most important factors that need to be considered when implementing a data governance strategy for cloud computing services. In addition to the proposed taxonomy, the paper clarifies the concepts of data governance in contracts with other governance domains.

Open data and public health.

ABSTRACTThis article provides an overview of the intersection of open data and public health by first defining open government data, public health data, and other key concepts and relevant terminologies. There are differing perceptions on the urgency and importance of the openness of public health data. It has been established that disease outbreaks such as happened during the Ebola and Zika virus epidemics are indicative of the need for countries to develop a framework that will provide guidance for the management of public health data. Such a framework should ensure that data collected during public health emergencies are accessible to the appropriate authorities and in a form that can help with timely decision-making during such public health crises. In this article, we highlight available open data policies across many countries, including in the Americas. Our analysis shows that there are currently no articulated policy guidelines for the collection and management of public health data across many countries, especially in Latin America. We propose that any national data governance strategy must address potential benefits, possible risks, examples of data that could be shared, and the attributes of such data. Finally, we stress that the key concern in the Americas should be the development of regional frameworks for open data in public health that can be adopted or adapted by each country through appropriate national or subnational policies and strategies.

Analysis and Classification of Barriers and Critical Success Factors for Implementing a Cloud Data Governance Strategy

The general consensus in literature seems to suggest that data governance refers to the entirety of decision rights and responsibilities concerning the management of data assets in organisations. These definitions do not however provide equal prominence for the data governance within the cloud computing technology context. As such, this deficit calls for in-depth understanding of data governance and cloud Computing. This trend contributes to changes in data governance strategy in the organisation, such as the organisation’s structure and regulations, people, technology, process, roles and responsibilities. This is one of the great challenges facing organizations today when they move their data to Cloud Computing environments, particularly how Cloud technology affects data governance. The authors’ general observation reveals that the area of data governance in general is under researched and not widely practiced by organisations, let alone when it is concerned with cloud computing, where research is really in its infancy and far from reaching maturity. This paper attempts to identify the possible common barriers and critical success factors for implementing cloud data governance in the hope that it helps the reader to be aware of these barriers and consider them in future developments in the field.