Pacific Northwest Programs
The National Network of Libraries of Medicine’s Pacific Northwest Region (PNR) conducted a Needs Assessment in April/May 2017, focusing on respondents’ responses to questions about which types of assistance and programs related to data would be the most useful. Read the full Needs Assessment report...
2018 Proposals Funded by the PNR
Montana State University Libraries was funded to develop and administer workshops that raise the computational competencies of undergraduate and graduate students, specifically addressing skills necessary to succeed in data-intensive scientific research. This suite of workshops will provide students at Montana State University (MSU) with a basic understanding of coding, with introductions to data processing, visualization, and analysis. Introductory and intermediate R workshops will be offered at the beginning of each semester. Workshops on data visualization in R and data wrangling in R will be developing in Fall 2018 and offered in Spring 2019. In order to broaden the impact of these workshops to a wider audience, curriculum materials and workshop recordings will be published with Creative Commons licenses in MSU ScholarWorks, MSU’s open access institutional repository; the MSU ScholarWorks links will be further distributed via a landing page on the Library website, designed by MSU Creative Services.
2017 Proposals Funded by the PNR
Past Classes - Recordings Available
PNR Rendezvous: Data Education Resources for Anyone, Anywhere
A look at the development of freely available, online Open Educational Resources (OERs) that cover various topics in data science by a research team at Oregon Health & Science University.
A Rendez-vous with Data
Three librarians share their experiences developing and providing unique data services in academic medical settings: Erin Foster from Indiana University School of Medicine, Ruth Lily Medical Library; Ariel Deardorff from the UCSF Library; and Kevin Read from the NYU Health Sciences Library.
Calling BS in the Age of Big Data
Jevin West, Assistant Professor at the University of Washington's iSchool, discusses common pitfalls around information visualization, examing different ways that information can be misrepresented with figures and graphs. The discussion builds upon several lectures given in his Calling BS class at the UW.
Unlocking the Potential of De-identified Clinical Datasets
Healthcare systems generate a ton of data on a daily basis. The primary purpose of this data is billing and clinical decision making. But great secondary use of this data is research. Bas de Veer, Bio-Medical Informatics Services Manager for UW Medicine IT Services at the University of Washington, discusses the potential uses, best practices and common hurdles of de-identified clinical datasets.