Inrupt, the startup from World Wide Web founder Tim Berners-Lee, announced an enterprise version of the Solid privacy platform today, which allows large organizations and governments to build applications that put users in control of their data.

The president-elect has hired both Jessica Hertz, former associate general counsel at Facebook, and Cynthia Hogan, former Apple vice-president for government affairs, to his transition team. Eric Schmidt, the former Google chief executive, has been a big fundraiser, and is being talked about to lead a new technology industry task force in the White House.

The rapid rollout of digital health approaches in the ongoing global COVID-19 pandemic has neglected to prioritize data privacy and is a missed opportunity for building users’ trust in these technologies for future outbreaks and quotidian healthcare.

And here another paper: "Patient trust must come at the top of researchers’ priority list"

National apps whose backends are now linked through the gateway service are Germany’s Corona-Warn-App, the Republic of Ireland’s COVID tracker, and Italy’s Immuni app.

Catherine D’Ignazio and Lauren Klein spoke with Fernanda Viégas and Martin Wattenberg about their new book, Data Feminism.

Leaked copy of the European Commission’s Data Governance Act reveals key insights into how the Commission will seek to implement its European Strategy for Data.

A boom in contact tracing devices could herald a new era of worker surveillance.

This Special Publication outlines a number of potentially valuable policy changes and actions that will help drive toward effective, efficient, and ethical data sharing, including more compelling and widespread communication efforts to improve awareness, understanding, and participation in data sharing.

In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.

One of the challenges in developing AI applications is obtaining the vast amount of data that’s required. Making matters worse, regulations and privacy issues pose obstacles to firms’ sharing their data. A possible solution is for firms to form a “data trust.” that serves as a fiduciary for the data providers and governs their data’s proper use. Willis Towers Watson recently piloted a data trust together with several of its clients. This article shared what they learned about how to create such a trust.