Data governance ≈ Data governance
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The CARE Principles for Indigenous Data Governance Open
Concerns about secondary use of data and limited opportunities for benefit-sharing have focused attention on the tension that Indigenous communities feel between (1) protecting Indigenous rights and interests in Indigenous data (including …
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When data is capital: Datafication, accumulation, and extraction Open
The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data co…
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Data governance: Organizing data for trustworthy Artificial Intelligence Open
The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested…
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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment Open
Objective Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical data are abundant, these are largely inaccessible to outside researchers. Statistic…
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A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI Open
Big Data analytics and artificial intelligence (AI) draw non-intuitive and unverifiable inferences and predictions about the behaviors, preferences, and private lives of individuals. These inferences draw on highly diverse and feature-rich…
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Challenges and Opportunities of Big Data in Health Care: A Systematic Review Open
Big data analytics has the potential for positive impact and global implications; however, it must overcome some legitimate obstacles.
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Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare Open
Integrating Artificial Intelligence (AI) in healthcare represents a transformative shift with substantial potential for enhancing patient care. This paper critically examines this integration, confronting significant ethical, legal, and te…
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Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities Open
Dashboards visualize a consolidated set data for a certain purpose which enables users to see what is happening and to initiate actions. Dashboards can be used by governments to support their decision-making and policy processes or to comm…
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Big Data sources and methods for social and economic analyses Open
[EN] The Data Big Bang that the development of the ICTs has raised is providing us with a stream of fresh and digitized data related to how people, companies and other organizations interact. To turn these data into knowledge about the und…
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Enterprise data breach: causes, challenges, prevention, and future directions Open
A data breach is the intentional or inadvertent exposure of confidential information to unauthorized parties. In the digital era, data has become one of the most critical components of an enterprise. Data leakage poses serious threats to o…
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Emerging models of data governance in the age of datafication Open
The article examines four models of data governance emerging in the current platform society. While major attention is currently given to the dominant model of corporate platforms collecting and economically exploiting massive amounts of p…
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Patients’ and public views and attitudes towards the sharing of health data for research: a narrative review of the empirical evidence Open
Introduction International sharing of health data opens the door to the study of the so-called ‘Big Data’, which holds great promise for improving patient-centred care. Failure of recent data sharing initiatives indicates an urgent need to…
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Algorithms that remember: model inversion attacks and data protection law Open
Many individuals are concerned about the governance of machine learning systems and the prevention of algorithmic harms. The EU's recent General Data Protection Regulation (GDPR) has been seen as a core tool for achieving better governance…
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An Overview of Data Quality Frameworks Open
Nowadays, the importance of achieving and maintaining a high standard of data quality is widely recognized by both practitioners and researchers. Based on its impact on businesses, the quality of data is commonly viewed as a valuable asset…
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Indigenous Data Governance: Strategies from United States Native Nations Open
Data have become the new global currency, and a powerful force in making decisions and wielding power. As the world engages with open data, big data reuse, and data linkage, what do data-driven futures look like for communities plagued by …
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Survey results: National health data infrastructure and governance Open
The strengthening of health data infrastructure and governance is a policy priority of the OECD. This report presents findings from the 2019-20 OECD survey of health data development, use and governance. Health ministries and health data a…
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Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare Open
The integration of artificial intelligence (AI) into healthcare promises groundbreaking advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and decision-making. This transformative technology uses machine…
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Soft ethics, the governance of the digital and the General Data Protection Regulation Open
The article discusses the governance of the digital as the new challenge posed by technological innovation. It then introduces a new distinction between soft ethics , which applies after legal compliance with legislation, such as the Gener…
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Building Trust in Fintech: An Analysis of Ethical and Privacy Considerations in the Intersection of Big Data, AI, and Customer Trust Open
This research paper explores the ethical considerations in using financial technology (fintech), focusing on big data, artificial intelligence (AI), and privacy. Using a systematic literature-review methodology, the study identifies ethica…
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Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions Open
This paper presents a comprehensive understanding of current digital twin (DT) implementations in the construction industry, along with providing an overview of technologies enabling the operation of DTs in the industry. To this end, 145 p…
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A Profile of the SAIL Databank on the UK Secure Research Platform Open
Background The Secure Anonymised Information Linkage (SAIL) Databank is a national data safe haven of de‑identified datasets principally about the population of Wales, made available in anonymised form to researchers across the world. It w…
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Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management Open
Objective: This paper explores the implications of artificial intelligence (AI) on the management of healthcare data and information and how AI technologies will affect the responsibilities and work of health information management (HIM) p…
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How to assess the success of the open data ecosystem? Open
Open data are currently a hot topic and are associated with realising ambitions such as a more transparent and efficient government, solving societal problems, and increasing economic value. To describe and monitor the state of open data i…
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Data governance, data literacy and the management of data quality Open
Data governance and data literacy are two important building blocks in the knowledge base of information professionals involved in supporting data-intensive research, and both address data quality and research data management. Applying dat…
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Bottom-up data Trusts: disturbing the ‘one size fits all’ approach to data governance Open
Key Points The current lack of legal mechanisms that may plausibly empower us, data subjects to ‘take the reins’ of our personal data leaves us vulnerable. Recent regulatory endeavours to curb contractual freedom acknowledge this vulnerabi…
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A Data Quality Assessment Guideline for Electronic Health Record Data Reuse Open
Introduction: We describe the formulation, development, and initial expert review of 3x3 Data Quality Assessment (DQA), a dynamic, evidence-based guideline to enable electronic health record (EHR) data quality assessment and reporting for …
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Smart Medical Information Technology for Healthcare (SMITH) Open
Summary Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. “Smart Medical Information Technology for Healthcare (SMITH)” is one of four consortia funded…
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Health data and governance developments in relation to COVID-19 Open
At the onset of the COVID-19 pandemic many countries found that they lacked basic, timely data for decision making—such as information on health workforce, resources, hospitalisations, and mortality. Many policy makers have since leveraged…
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A Consent Model for Blockchain-Based Health Data Sharing Platforms Open
In modern healthcare systems, being able to share electronic health records\nis crucial for providing quality care and for enabling a larger spectrum of\nhealth services. Health data sharing is dependent on obtaining individual\nconsent wh…
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Data governance activities: an analysis of the literature Open
Data governance is an emerging subject in the information system (IS) field. In recent years, the volume of data used within organisations has increased dramatically, playing a critical role in business operations. This paper explores the …