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Data Management Content
Overcoming Barriers to Data Sharing in the United...
Both public and private sector actors face legal, social, technical, and economic barriers to data sharing in the United States, inhibiting much-needed innovation and discoveries. Overly restrictive data privacy laws…
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Overview and Considerations of Access Control...
Traditional public-key encryption (PKE) requires different data to have different keys that – along with the encrypted version of the data – can be distributed to users who satisfy access…
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Exploring Data-Sharing Models to Maximize Benefits...
Data-driven innovation has the potential to be a massive force for progress. Data sharing enables organizations to increase the utility and value of the data they control and gain access…
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Staying Current with Emerging Technology Trends:...
Emerging technologies evolve at a staggering pace, and staying ahead demands innovative approaches. Leveraging big data and machine learning, organizations can identify pivotal research clusters and trends that influence global…
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Missing Persons: The Case of National AI Strategies
Policy makers should inform, consult and involve citizens as part of their efforts to data-driven technologies such as artificial intelligence (AI). Although many users rely on AI systems, they do…
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Future of Health: Imperatives for Advancing Data...
Traditional brick-and-mortar health care organizations and digital health companies are actively partnering to provide novel, digitally enabled care models to patients. Despite the potential of these new care models, it…
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How Stream Delivered Over 40 MW of Dedicated Data...
One of the world’s largest technology companies announces an ambitious new vision, requiring the very rapid deployment of hundreds of megawatts of new data center capacity. For the company’s data…
Learn MoreDe-Identifying Government Datasets: Techniques and...
De-identification is a general term for any process of removing the association between a set of identifying data and the data subject. This document describes the use of deidentification with…
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Dynamic Data Protection Using Attribute-Based...
In this technical white paper, the importance of dynamic data protection in relation to Attribute-Based Access Control (ABAC) is discussed. With ABAC, companies as well as the federal government/military can…
Learn MoreData Sharing Between Public and Private Sectors:...
Governments at the state, county, and municipal levels have become increasingly interested in the treasure troves of local data amassed by the sharing economy. A growing number of localities are…
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Securing Nearshore and Offshore Business Models
Learn more about the five critical data security challenges that organizations must address when moving business functions across borders. These challenges span a range of issues, from navigating complex cross-border…
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The Use of Real Time Spending Sources for Economic...
This study from the Bureau of Economic Analysis explores the potential of using credit and debit card transaction data to improve real-time consumer spending estimates. By integrating multiple commercial datasets,…
Learn MoreSecuring the Future: Strategies for Fraud...
Since the earliest days of government, the fundamentals of public records and the need their security have remained constant. Yet the methods and strategies to achieve this security have evolved…
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Unified Hub for Business Intelligence and...
The rapid growth of reports and visualizations fueled by self-service BI and analytics has led to analytics sprawl across various applications, making it challenging to find accurate and reliable insights.…
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The InnoGraph Artificial Intelligence Taxonomy
InnoGraph will build a holistic knowledge graph of innovation based on Artificial Intelligence (AI), and more generally of the global “hitech” ecosystem. InnoGraph aims to comprehensively cover all elements of…
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