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Data Management Content
Army Data Plan
The Army’s Data Plan aims to transform how the Army manages, analyzes, and utilizes data to enable data-driven decisions. It describes a global, standards-based environment where data and information are…
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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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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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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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Developing an Effective Data Management Strategy
Effective data management has become increasingly important as government organizations continue along the path towards digital transformation. Managing vast amounts of data is critical to not only agency mission success,…
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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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Accelerate your Mission with Data in Motion
Every level of government is awash in data, and the global pandemic did little to slow its growth. Agencies are now struggling to figure out how to effectively ingest, route…
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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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The Impact of Emerging Technology on AI Within the...
In a recent roundtable discussion hosted by the Advanced Technology Academic Research Center (ATARC) in partnership with Amazon Web Services (AWS), government IT experts shared the various challenges and solutions…
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