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.

Fall 2017


October 12 (Thursday) – The accurate Data Management Plan (if such exists) in the presence of “Big Data”

Matthew Garcia, Ph.D. Candidate, Forest Science, Dept. of Forest & Wildlife Ecology

Data science rises as a relatively new specialty across numerous fields, and along with it the economics and infrastructure necessary for effective data management become more and more important to the scientific community. This does not, however, ensure the prominence of data management best (or even “good enough”) practices in the investigator’s plans. Major science funding agencies require a Data Management Plan as part of every funding proposal, but even in agency proposal guidance this is little more than a single-paragraph promise to provide research products online to the wider science community, and for the researcher does not even merit a funding line in the proposal budget. In the Open Science movement, the counterpart to Open Access publications and Open Source code repositories is an Open Data repository. At least one major scientific journal publisher now requires exactly that: paper authors must go beyond the standard statement of data availability, “by contacting the author,” to full and open publication of paper-related datasets. Projects can achieve these proposal and publication requirements by various means, from local research group websites to federal agency data repositories. From decades of experience in academic work, supported by a wide variety of funding sources, a number of questions have become prominent: What does the move toward cloud computing and cloud storage mean for scientific data management? What happens when these requirements meet “big data” requiring terabytes, sometimes petabytes, of online storage? And finally, who will pay for storing and serving these large datasets over long times?


November 15 – Benefits of Open Data and Open Stimuli

Morton Ann Gernsbacher, Vilas Research Professor and Sir Frederic Bartlett Professor – UW-Madison

Scientists across many disciplines are increasing their efforts to improve the reproducibility of their research. One set of efforts involves greater transparency. In this presentation, I’ll address the benefits – both to researchers and to their studies – of open data and open stimuli, as well as the platforms and techniques that enable those benefits.