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 ...

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 ...

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 ...

Small businesses can use AI and machine learning to structure big data and gain valuable insights. Learn how to use big data for better decision-making.

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 ...

In the rail industry, asset management has historically been synonymous with the management of physical assets by dedicated teams of highly experienced practitioners and localised ownership of the ...