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 ...

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 ...

Research institutions face growing challenges managing large and complex datasets: Data volumes are increasing in size, variety, and velocity, while traditional, ad hoc data management practices lead ...

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 ...

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.

Academic libraries are increasingly evolving to support the entire research lifecycle, with research data management (RDM) services at the forefront of this transformation. The shift towards digital ...

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

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Academy founder. For all of us who have built our careers in the complex and ...

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 ...