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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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