Research data management is the care and management of data from all stages of the research lifecycle, beginning with idea conception and continuing through proposal writing, generation of results, ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...

What is data management and why does it matter? This workshop will introduce participants to the core concepts of “data stewardship” and the major components of data management across the research ...

The AI revolution shows no signs of slowing down, transforming industries at an unprecedented pace. The fuel powering this change is high-quality, well-managed data. As companies adopt AI, the demand ...

In this podcast, we talk to Pure Storage EMEA field chief technology officer Patrick Smith about the issues of data management in an era where the upsurge of artificial intelligence (AI) has created ...

Informatica Inc. is turning up the volume on its agentic artificial intelligence push with today’s announcement of a series ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data governance refers to the people, processes, and ...

Bank of America’s DataConnect platform provides a range of data management capabilities designed to help users process and manage data throughout their business lifecycle. This environment provides an ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data analytics is defined as the capability ...