David A. Shargel of Bracewell LLP discusses the increasingly complex e-discovery landscape with ever-expanding sources of ...

When it comes to AI chatbots, third-party messaging applications, and social media platforms, there are several steps involved in collecting data. First and foremost, understanding the type of ...

AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined. Enterprises must make ...

From The Dominance Of Centralization To Decentralization Made Possible Traditionally, centralized data collection involves gathering data from various sources—such as apps, devices, or websites ...

The expanded collection and availability of disability data at the state level will help inform state policy makers about health and societal outcomes for people with disabilities; in particular ...

The Data Foundation, the American Geophysical Union, and a coalition of universities are scrambling to ensure that the nation ...

Collecting and Processing data involves clearly defining “ Who or what ” you will study or evaluate and “ When ” you will do so. You should consider the demographic characteristics of your study ...

Featuring books spanning four continents, these recommended reads provide a global perspective on data journalism.

Sarah Reeves, Ph.D., M.P.H., is an associate professor of pediatrics and epidemiology at the University of Michigan and the principal investigator of the Michigan Sickle Cell Data Collection program.

Available Data Sources The AHEAD Institute warehouses large, research-ready databases to meet your project's needs. Many databases are de-identified and using them has been deemed non-human subjects ...

Data privacy experts say that, though this level of data collection is not unique to Threads, users do risk handing over even more personal information to a company that already knows a lot about ...

Retailers whose systems are laser-focused on criminal activity often omit critical touchpoints and data sources, obscuring the complexity of the ways loss actually happens within their supply chain.