As a result of the partnership, the EDM Council will offer its members subsidized training and certification across data management disciplines, such as data quality, data governance, master data ...

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 ...

Attend ABTA’s CRM and data management training day to improve and develop your understanding of customer relationship management and ensure your marketing data strategies are fit for purpose. This ...

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

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.

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

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 ...

This institutional Research Data Management Strategy is iterative and subject to change. This document will be reviewed annually by the VPRI or their delegate to ensure it remains relevant to the SFU ...