The Rebecca J. Holz Series in Research Data Management commemorates Research Data Services co-founder Rebecca Holz, who passed away unexpectedly in 2011.
Each talk will be held on a Wednesday from noon-1pm in Memorial Library 126. We invite you to bring your lunch!
Like to talk about your data? Have a topic you’d like us to present on? Please contact the RDS Outreach Committee.
To view previous presentations in the Holz series, check out our archive.
The Center for High Throughput Computing: Supporting UW-Madison’s Data-Intensive Research
Lauren Michael & Christina Koch, Center for High Throughput Computing | UW-Madison
For research aiming to extract novel understanding from large and/or complex sets of data, the process of selecting from an ever-growing list of computational tools and analytical approaches is often a significant bottleneck. Beyond the difficulty in gaining awareness of various methods is the daunting task of identifying which of these will apply to and scale for the evolving complexity of future research problems. In fact, the ability of research projects to expand to greater dimensionality, validity, and impact is often unknowingly limited by researcher perceptions of the scalability of previously-selected computational tools. Ultimately, the scalability of any computational research project or tool relies on an ability to effectively break up (or “parallelize”) large and time-consuming tasks for better ease and throughput. As a general approach, high-throughput computing not only applies to a multitude of data-intensive research problems but also provides for built-in scalability into the future.
To provide a discussion of high-throughput computing approaches, Lauren Michael from UW-Madison’s Center for High Throughput Computing will discuss the applicability of high-throughput computing for executing data-intensive work and will describe the free support and computational capacity of the CHTC, which serves as UW-Madison’s research computing center. The seminar will include examples of projects from a diverse set of research disciplines that have been transformed through the use of high-throughput computing.
Starting Your Own Computational Study Group
Sarah Stevens, Department of Bacteriology | UW-Madison
Want a community to help build up your own computational skills? Be it R, python, matlab, unix, or something subject specific? Start your own study group! Sarah will share about her own experiences starting the Computational Biology, Ecology, and Evolution (ComBEE) group and R and python study groups. She will also share information about resources available to help you start your own group.
Confidentiality and Geographic Data in Health Research
Matt Moehr, Survey of the Health of Wisconsin | UW-Madison
Researchers have long known that geographic location is an important part of public health. However, precise geographic locations of people are usually restricted due to concerns of confidentiality. In this talk I will review the IRB and HIPAA regulations around geographical identifiers, and ask questions about balancing risks with the potential benefits from research. I will share examples from public health research and my experience working at the Survey of the Health of Wisconsin that demonstrate the challenges in finding this balance.