Spring 2018 Holz Brown Bag Lineup

The Rebecca J. Holz Series in Research Data Management presents talks on various data-related topics. Each presentation is held in room 126 of Memorial Library from noon to 1:00 PM (bring your lunch!).

 

March 13 (Tuesday) – Research Data Protection Brown Bag, Bob Turner, Chief Information Security Officer – UW Madison, and Stefan Wahe, Deputy CISO and HIPPA Officer – UW Madison

Many are familiar with the data management requirements and the significant security controls assigned to protect employee and student personal identity and health care information. Whether your research includes this type of data or simply needs added privacy should be understood when creating an information handling environment to conduct your important research.  Join the UW-Madison Chief Information Security Officer and the Deputy CISO who also serves as the HIPAA Security Officer as they discuss research data privacy and security.

 

April 18 – From the ashes: How data corruption revitalized our data project, Kendra Bouda, The Jane Speaks Initiative

Under the worst of circumstances, data corruption may lead to irreparable loss. Though even if a backup is available, such disruption can easily set any project back.  Join speaker Kendra Bouda as she recounts her experiences with data corruption and how the misfortune of data loss actually revitalized her project. Kendra will relate how a variety of data-related hurdles shaped her work on the Clery Crime Data Visualization Project, shifted her perspective on access and reproducibility, and, ultimately, how data corruption transformed project goals.

We hope to see you there, but if you can’t make it, did you know there’s an online archive of past Holz Series installments? Many include summaries of the presentation, links to the slides, and other helpful information. Check back for abstracts of the Spring 2018 series.

If you don’t see a topic you’re curious about after browsing the archive, or if you are interested in presenting yourself, contact us with your suggestion! We’re always interested in hearing what data-related content you’d find helpful.