Open-source data sources indicate a low number of cyberterrorism incidents, despite widespread concerns about its global prevalence. This raises questions about the true level of cyberterrorism threat ...

AI’s data collection practices are immature compared with the sophistication of AI model development. Massive data sets often lack clear information about what is in them and where it came from.

In general, data fabric packages have the job of collecting the data and moving it to the different software packages that can analyze it. If the data is not available or the analysis is incorrect ...

Appendix: Examples of Innovative Data Collection Methods Applied to Different Sectors . Using Satellite Imagery and Mobile Apps to Track Deforestation and Its Drivers. The Monitoring of the Andean ...

The all-too-common phrase, “single source of truth,” is often thought of as the gold standard of data analytics, but in reality, the truth of analytics is often a moving target with multiple sources ...

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 ...

Discover five reliable sources where you can access diverse and high-quality data sets for free, fueling your next data-driven project. 2897 Total views 11 Total shares ...

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 ...