Excerpt from Data Management Plan: The research results will be promptly published through peer reviewed journals, conference proceedings, and the other usual channels. The primary expected product of ...

Princeton held its first research data management workshop Jan. 28-Feb. 1 for graduate students and other researchers. Attendees spent five afternoons attending short lectures and participating in ...

Clinical data management is entering a new phase as AI automates EDC build, shortens timelines, and enables data teams to focus on quality.

Organizations are now in an age where keeping every byte of data is necessary. Why? Because amassing and curating a company's unique data will drive business-changing results with their AI initiatives ...

From planning to trailblazing, discover the world of data management in this guide. Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most ...

When Marjorie Etique learnt that she had to create a data-management plan for her next research project, she was not sure exactly what to do. The soil chemist, a postdoc at the Swiss Federal Institute ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

The process many training and development specialists use for measuring the effectiveness of management training starts with a needs assessment to determine the skills managers already have, the ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026. The data landscape is shifting faster than most organizations can track. The ...