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Register to attend Stanford University's webinar regarding Data Quality on Thursday, June 9, 2022, 2:00 pm ET. You will hear from Rajnesh Prasad, Ruth O'Hara, Priya Desai, Nigam Shah, Patricia Moussatche, and Somalee Datta regarding Stanford University's efforts to improve the quality of its research data and the increase in the frequency with which it refreshes data.
This 2-hour interactive workshop "Tips for Collecting High-Quality Qualitative Data" is based on a unique qualitative research support service offered by the Southern California Clinical and Translational Science Institute (SC CTSI) core group called Biostatistics, Epidemiology and Research Design (BERD) and provided by Dr. Rachel Ceasar. Workshop facilitators, including Dr. Ceasar, offer tips for
This introductory course outlines basic data management concepts and demonstrates how data managers, or other study team members, can work to improve data quality. You will learn to speak the language of data management and discover how the concepts presented can be applied to the everyday management of research data. Topics include understanding basic data management terminology, outlining data
Learn what it takes to make your surveys as efficient as possible. Customize survey settings, manage survey participants, and stay up-to-date on survey progress and results
The goal of the core training modules is to cultivate advanced understanding of research topics. Each of the ten learning modules covers a different topic area.
Hosted by the Informatics Enterprise Committee, this meeting brings together members of the informatics community to meet, learn and network! The agenda will cover multiple topics including breakouts led by CD2H, panel discussions addressing NLP, Data Quality, RDWs and ML/AI followed by brief presentations on ACT and Data Model Harmonization. Join us!!
Investigator-initiated trials often lack a systematic approach to quality management system including inadequacies in monitoring and auditing functions. We have developed a self-study online module that could be used to establish a monitoring pool to promote data integrity/reliability and subject protection. In this webinar, Dr. Pacifici and her team will share their experiences from a pilot