Results 341 to 350 of about 26,063,590 (386)
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International Journal of Multidisciplinary Research and Growth Evaluation, 2023
In the era of data-driven decision-making, high-impact programs rely on robust data governance frameworks to ensure quality, consistency, and compliance.
Adebusayo Hassanat Adepoju +3 more
semanticscholar +1 more source
In the era of data-driven decision-making, high-impact programs rely on robust data governance frameworks to ensure quality, consistency, and compliance.
Adebusayo Hassanat Adepoju +3 more
semanticscholar +1 more source
Data Governance Model To Enhance Data Quality In Financial Institutions
Information systems management, 2022The author concentrates on data governance in research and practice. The author has developed a strong knowledge of data governance through numerous case studies of electricity, retail, telecom, banks, or insurance companies. With more than nine years of
Sona Karkosková
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Health Data and Data Governance
2013Health is a knowledge industry, based on data collected to support care, service planning, financing and knowledge advancement. Increasingly there is a need to collect, retrieve and use health record information in an electronic format to provide greater flexibility, as this enables retrieval and display of data in multiple locations and formats ...
Evelyn J S, Hovenga, Heather, Grain
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Corporate Governance Subdisciplines, Data, and Data Governance
2021Corporate governance is a broad discipline that has several subdisciplines which include, but are not limited to operational governance, financial governance, HR governance, risk governance, security governance, risk governance, IT governance, and data governance.
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Citizen-centered data governance in the smart city: From ethics to accountability
Sustainable cities and society, 2021The concept of a smart city is tightly linked to the promise of using data as a resource to create value for citizens. The present paper systematically examines how such data-based value creation generates challenges for decision-makers in the smart city
Pascal D. König
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Understanding data governance requirements in IoT adoption for smart ports – a gap analysis
Maritime Policy & Management, 2022Maritime shipping is considered the backbone of the global supply chain. It is expected that future fully automated smart ports will be data-driven, harvesting power from advanced analytics and artificial intelligence. Under the hood, Internet of Things (
Jing Gao +3 more
semanticscholar +1 more source
Open Access Research Journal of Multidisciplinary Studies
This paper explores strategies for engaging stakeholders, enhancing communication, and fostering collaboration in data governance. It examines the importance of stakeholder engagement and communication channels, such as meetings, digital platforms, and ...
Naomi Chukwurah +3 more
semanticscholar +1 more source
This paper explores strategies for engaging stakeholders, enhancing communication, and fostering collaboration in data governance. It examines the importance of stakeholder engagement and communication channels, such as meetings, digital platforms, and ...
Naomi Chukwurah +3 more
semanticscholar +1 more source
Open Access Research Journal of Multidisciplinary Studies
This review paper explores integrating agile methodologies into data governance to achieve flexibility and control. Agile methodologies, known for their iterative development, collaboration, and responsiveness to change, can enhance the adaptability of ...
Naomi Chukwurah +3 more
semanticscholar +1 more source
This review paper explores integrating agile methodologies into data governance to achieve flexibility and control. Agile methodologies, known for their iterative development, collaboration, and responsiveness to change, can enhance the adaptability of ...
Naomi Chukwurah +3 more
semanticscholar +1 more source
Data governance: A conceptual framework, structured review, and research agenda
International Journal of Information Management, 2019Data governance refers to the exercise of authority and control over the management of data. The purpose of data governance is to increase the value of data and minimize data-related cost and risk.
Rene Abraham +2 more
semanticscholar +1 more source