The Do's and Don'ts of Data (in Dataverse) - August 2022 Washington, DC User Group

In this presentation given at a Washington, DC User Group in August 2022, the speaker delves into the do's and don'ts of data within the context of Dataverse. Drawing from their extensive experience in data quality projects across the globe, the speaker shares valuable insights on how to ensure the accuracy and completeness of data without breaking the bank.

The presentation emphasizes the importance of establishing a data quality framework and adhering to best practices in data management. This involves proactively identifying data quality issues and implementing measures to prevent them from occurring in the first place. It also involves leveraging automation and machine learning techniques to streamline data validation, cleansing, and enrichment processes.

On the other hand, the speaker cautions against falling into common pitfalls that can undermine data quality, such as neglecting to define and enforce data standards, failing to perform regular data audits, and relying too heavily on manual processes.

Overall, this presentation provides a comprehensive overview of the strategies and practices that organizations can adopt to ensure the integrity and reliability of their data within Dataverse.

Link to the video: https://www.youtube.com/watch?v=NRrCcaQSh9Q