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Data Management Content
Insider’s Guide: AWS Marketplace
Increasingly, agencies are moving to the cloud as part of their cybersecurity strategies. In part, that’s driven by the need to manage security demands across expansive hybrid infrastructures. But it’s…
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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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For What It’s Worth: Measuring Land Value in the...
This paper develops a new method for valuing land, a key asset on a nation’s balance sheet. The method first employs an unsupervised machine learning method, which means clustering, to…
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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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Reviving and Reimagining the Federal Data Strategy...
The Federal Data Strategy suffers from a lack of leadership and fails to link its well-defined principles and practices to government-wide and agency-level missions. The Biden administration must revive and…
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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…
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Data 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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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…
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De-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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Digital Equity 2.0: How to Close the Data Divide
Unlike the digital divide, many ignore the data divide or argue that the way to close it is to collect vastly less data. But without substantial efforts to increase data…
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Deep Web Research and Discovery Resources 2023
The deep web is part of the world wide web whose contents are not indexed by standard search engines. The deep web is not to be confused with the dark…
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