Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

The Data Provenance Initiative is a multi-disciplinary volunteer effort to improve transparency, documentation, and responsible use of training datasets for AI. Through a large scale audit of 44 data ...

Governments and companies constantly face decisions about how to allocate finite amounts of money to clean energy technologies that can make a difference to the world's climate, its economies, and to ...

Abstract: Data collection is a major bottleneck in machine learning and an active research topic in multiple communities. There are largely two reasons data collection has recently become a critical ...

Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale. Leading firms now combine crowdsourcing, automation, and domain expertise to collect data across modalities. The ...

Online identity must shift from storing customer data to requesting verifiable proofs. zkTLS turns verification into a yes or no proof, not a document upload, which ties back to the goal of proof over ...

Investigative needs differ across legal contexts, requiring distinct approaches to mobile data collection in criminal and civil cases. Overcollection of smartphone data leads to increased risk, ...

The Bureau of Labor Statistics is reducing or ending the collection of data that is used to calculate the Consumer Price Index. By Ben Casselman Federal Reserve policymakers have stressed that their ...

The cutbacks would have “minimal impact,” the government said, but economists warned of reduced confidence in inflation data produced by a struggling statistical system. By Ben Casselman The Bureau of ...

The event will serve as a platform for exchanging experiences and collaborating on innovative practices in data collection. The 2025 meeting will focus on optimizing data collection processes, ...

The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...

In today’s world, data drives everything. From businesses to governments, every organization runs on calculated decisions based on information collected as data about the quality of output, resources, ...