Let’s be real: procedures and processes in the workplace are pretty much just part of the job. But what happens when office ...

This article adopts a constructivist grounded theory approach based on the principle of intersubjective relations and the co-construction of interpretations. Reflecting on the author's experiences as ...

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 ...

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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 ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Background: Nasopharyngeal (NPS) and oropharyngeal (OPS) swab collection are vital in the diagnosis and surveillance of respiratory viruses. However, the acceptability of these procedures among ...

WASHINGTON, June 4 (Reuters) - The U.S. Labor Department's economic statistics arm said on Wednesday it was reducing the Consumer Price Index collection sample in areas across the country due to ...

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 ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Data governance is a framework of rules, processes, and practices that ensure the effective management and utilization of an organization’s data assets. It guarantees that data is free from errors and ...

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 ...