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Data Management Content
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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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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Big Tech’s Free Online Services Aren’t Costing...
U.S. antitrust doctrine has long focused on the consumer welfare standard, particularly the effect of competition on prices. This poses a challenge for anti-“Big Tech” activists (neo-Brandeisians) because many digital…
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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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How the G7 Can Use “Data Free Flow With Trust” to...
Since Japan launched the “Data Free Flow with Trust” (DFFT) initiative, global competition and conflict over digital issues have only intensified. Yet, leading digital countries at the G7 and elsewhere…
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The Privacy-Bias Tradeoff: Data Minimization and...
An emerging concern in algorithmic fairness is the tension with privacy interests. Data minimization can restrict access to protected attributes, such as race and ethnicity, for bias assessment and mitigation.…
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Demystifying Semantic Standards and Knowledge Graph
Despite the essential nature of data, many organizations and companies have a data problem. How can they solve it? By adopting the principles of data hygiene and taking advantage of…
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Knowledge Graph Implementation: Costs and...
Breaking through barriers to entry is key to making any data management initiative a success. This is doubly true when seeking to adopt semantic standards to implement a knowledge graph…
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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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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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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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Microsoft Azure Compliance Offerings
This document provides an overview of Microsoft Azure compliance offerings intended to help customers meet their own compliance obligations across regulated industries and markets worldwide. Azure maintains the largest compliance…
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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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