Click here to access the January-February 2018 list.
If you have any questions, contact Ted Baldwin, Director of Science and Engineering Libraries.
From making a diagnosis to tailoring treatment to an individual to someday curing disease, precision genomics is having a profound impact on healthcare.
Cincinnati Children’s Center for Pediatric Genomics and the University of Cincinnati launched Precision Genomics Midwest last year to bring genomic education to the Midwest. Often, clinicians and researchers don’t have the time to attend large national events, but they still need to learn about how genomics will be integrated into clinical care; about genomic technologies; and ongoing research in the field.
This one-day, free event – May 11 at the Kingsgate Marriott on the University of Cincinnati campus – is packed full of education on topics relevant to clinicians, researchers, pharmacists, genetic counselors, lab managers, nurses, and students.
Precision Genomics Midwest rapidly is becoming the Midwest’s premier precision medicine conference, by attracting regional attendance and national speakers while simultaneously showcasing talent from UC and Cincinnati Children’s. The inaugural year had nearly 360 registrants from more than 25 different institutions across the Midwest.
Cincinnati Children’s and UC College of Medicine are co-sponsoring the free conference. Other contributing partners include the Cincinnati Children’s Research Foundation, University of Cincinnati Libraries, and the Center for Clinical and Translational Science and Training.
PGM is free, but space is limited. For the agenda, registration, and exhibitor prospectus, go to www.cincinnatichildrens.org/pgm. For updates, follow @CincyKidsGenomX on Twitter.
UC Libraries is pleased to offer a data science workshop this spring on OpenRefine. Join us in 850D Baldwin Hall (CEAS Library classroom) on Monday, February 26 from 2:00pm – 4:00pm. Register here (UC 6+2 Central Login required).
OpenRefine, http://openrefine.org, is a free, powerful, and easy-to-use tool for cleaning up and transforming datasets in order to prepare them for analysis and sharing. In this workshop, you will learn how to leverage OpenRefine’s interface and scripting language for basic data exploration and bulk transformations. No prior knowledge necessary. Please bring your own laptop for the hands-on exercises.
Contact Ted Baldwin with questions, Ted.Baldwin@uc.edu .
Posted on behalf of Jane Combs
Associate Director, IT@UC Research & Development University of Cincinnati
The Ohio Supercomputer Center will offer two workshops on its resources and how to use them Tuesday March 13, on both East and West campuses.
IT@UC Research & Development will be hosting the Ohio Supercomputer Center for two workshops on Tuesday, March 13. The morning workshop will provide an introduction to the Ohio Supercomputer Center resources and how to use them. In the afternoon, the workshop will cover Big Data Analytics and Spark.
The Ohio Supercomputer Center, headquartered in Columbus, partners with Ohio researchers to develop proposals to funding organizations and is the state’s leading strategic research group.
The morning session will take place on West Campus, Langsam Library, room 475 from 10:30 a.m. – 12 p.m. The afternoon session will take place on East Campus in MSBRCV, E602 from 1:30 – 4 p.m. Laptops are needed if attendees want to participate in the hands-on portions of the sessions.
Workshops are open to anyone interested in learning about OSC services and those who want to use their accounts more efficiently; this is a great opportunity to ask any questions you have about performing your computational research on our systems. There are no prerequisites for attending.
Morning topics include:
Afternoon topics will include:
For additional information, contact Jane Combs at email@example.com.
“Why yes, yes I do, You can always find me in the repository.”
It is Love Data Week and time to show your love for your research output.
What is Love Data Week (#LDW18)?
From the Love Data Week website – http://lovedataweek.org/
Similar to Open Access Week, the purpose of the Love Data Week (LDW) event is to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services. We will share practical tips, resources, and stories to help researchers at any stage in their career use good data practices.
Love Data Week is a social media event coordinated by research data specialists, mostly working in academic and research libraries or data archives or centers. We believe research data are the foundation of the scholarly record and crucial for advancing our knowledge of the world around us. If you care about research data, please join us! This event is open to any institution – small, large, research intensive or not, so please feel free to share, adapt, and improve upon it. We encourage individuals, data librarians or otherwise, to participate in the campaign.
The University of Cincinnati Libraries and IT@UC announce the third annual UC DATA Day. Scheduled for 8:30 a.m.-4:15 p.m., Tuesday, March 6 in Nippert Stadium West Pavilion on UC’s Main Campus (see directions), UC DATA Day 2018 offers a full schedule of engaging events that will reveal solutions to data challenges and foster a community of best practices around improved data management. All events are free and include lunch. The public is welcome.
Registration is now open at http://libapps.libraries.uc.edu/blogs/dataday/registration/. Seats are limited, so register early.
The UC DATA Day 2018 keynote speaker is Patricia Flatley Brennan, RN, PhD, director of the National Library of Medicine (NLM). The NLM is the world’s largest biomedical library and the producer of digital information services used by scientists, health professionals and members of the public worldwide. Prior to her work at the NLM, she was the Lillian L. Moehlman Bascom Professor, School of Nursing and College of Engineering, at the University of Wisconsin–Madison.
The day will include panel discussions on “Game Changing Data: How Data is being used to Affect Change,” “Big Data” and “Data Solutions: Your Questions Answered.” In addition, attendees can participate in two technical sessions on data analysis and data visualization with Python. During lunch, service providers will speak on how they support researchers and research data management.
For more information on UC DATA Day 2018, contact Tiffany Grant, interim assistant director for research and informatics, at (513) 558-9153 or firstname.lastname@example.org.
UC Libraries will be closed Monday, Jan. 15 for Martin Luther King, Jr. Day with the exception of the Donald C. Harrison Health Sciences Library, which will be open 9am-5pm. The libraries will resume normal hours on Tuesday, Jan. 16.
This closing includes the 4th floor of Langsam Library, which will close at 11pm on Sunday, Jan 14 and re-open at 7:45am on Tues, Jan. 16.
Check out these library resources about Martin Luther King, Jr.
On November 4th, UC Libraries partnered with the Cincinnati-Dayton Region office of the Red Cross and the Geography Graduate Student Association (GGSA) to hold a Missing Maps mapathon.
Twenty students, librarians and Red Cross members gathered at Langsam Library where Red Cross interns Michael Gladstone and Meri Sambou led the group through a brief training and explained the task assigned.
Recently UC Libraries and the Graduate School hosted the Center for Open Science for two workshops on research reproducibility. The Center for Open Science, a non-for-profit based in Charlotteville, Va. promotes openess, integrity and transparency in research. Ian Sullivan of the COS facilitied the workshop and worked with researchers to address several types of repoducibility issues in research- Computational, Methodological and Results replicability.
Computational reproducibility means that given the data and code/analysis methods used, someone else could reproduce the graphs and calculations in your paper or report. Methodological reproducibility means that someone else could follow your protocols and rerun the experperiment or research again and get the same results as you did. And results replicability means that with new data and using your methods and analysis, someone else can come to the same conclusion as you did.
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