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 ...

Watch for good sources. Improve your current data collection practices. Ensure that team members are contributing. Emphasize that the future is about doing the best job possible collecting data. ...

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.

Waste collection is an often-underutilized source of municipal data, and in Columbus, integration with city GIS tools help trash pickup not only clean city streets, but enhance customer service.

Such sources include websites for primary information, digitized books and research papers for more structured data, social media posts and conversations to learn how people commonly talk, as well ...

What follows are best tips and advice for collecting those novel data sources, from AI chatbots to social media applications detailed in February's article. Sign up here.