Given the popularity of this workshop, “The Making Sense of Biomedical Literature – a Biostatistician’s Perspective” Clinical & Translational Research Training Workshop will be held in MSB 5051
Registration for the workshop can be completed here. | For more information, please contact Emma Jones (Emma.Jones@uc.edu)
UC Libraries will be closed, Monday, July 4th for Independence Day. Normal hours will resume July 5th. Have a safe and enjoyable July 4th.
Read Source, the online newsletter, to learn more about the news, events, people and happenings in UC Libraries.
This latest issue of Source includes an article announcing the new UC academic press, a Q&A about a new position in the Office of Research, and A Note from the Dean: IFLA Coming to Cincinnati. Updates to library websites are showcased in A New Look at Digital Collections and in an article about the Neil A. Armstrong display and website. There are two articles about recent awards – the Provost Technology Innovation Awards and Recognizing Library Student Workers. Read these articles and more.
Source is available on the web at http://libapps.libraries.uc.edu/source/ and via e-mail. To receive Source via e-mail, contact melissa.norris@uc.edu to be added to the mailing list.
Announcing a new summer workshop!
Big Data Training for Translational Omics Research
Purdue University is pleased to announce the first Annual NIH-funded workshop on “Big data training
for translational omics research” in West Lafayette, IN on July 11 – 22, 2016. The two-week workshop will focus on providing biomedical researchers inexperienced in biomedical big data science with entry level training in big data science. The format of the workshop includes a series of problem-based activities to build familiarity and basic competency with established tools and publically available resources. These activities will be complemented by formal lectures on various topics important for big data science. The course is open to faculty, post-doctoral researchers, and graduate students.
The costs of tuition, room, and board are covered for accepted applicants!
For additional information and the online application please visit:
http://www.stat.purdue.edu/bigtap/index.html
Application reviews will begin on April 11, 2016.
Please distribute this e-mail and the attached flyer to anyone you think might benefit from attending.
Want to work with a geographic information system (GIS) but are not sure where to start?
This workshop is for individuals who want to visualize spatial patterns in data but have no experience with a geographic information system (GIS) software or who want to learn about resources available to the UC community through UC Libraries and the Department of Geography. Workshop instructors will guide participants as they create a GIS using the software ARCGIS to visualize a dataset and create a map providing further insight into the data.
Monday March 14 1-3 pm GIS Lab – 415 Braunstein Hall
Friday March 18 12:30- 2:30 pm HSL Classroom
To register visit: http://webcentral.uc.edu/hslclass/home.aspx
The Ohio Supercomputer Center will be on campus for two training sessions.
Session 1: Langsam Library Room 475, 10 a.m. – 11:30 a.m.
Session 2: Health Sciences Library, Medical Science Building, G003I, 1:00 p.m. to 2:30 p.m.
No Prerequisites Required
To Register: www.osc.edu/march17
Read Source, the online newsletter, to learn more about the news, events, people and happenings in UC Libraries.
This latest issue of Source includes an article about recent renovations to the entrances of two library locations, a Q&A with two employees, Hong Cheng and Bob Freeman, and A Note from the Dean: Finding the Talent. There are announcements of Dean Wang joining the SPARC Steering Committee and that Scholar@UC is open for self-submissions, as well as a list of spring events in UC Libraries. Read these articles and more.
Source is available on the web at http://libapps.libraries.uc.edu/source/ and via e-mail. To receive Source via e-mail, contact melissa.norris@uc.edu to be added to the mailing list.
The final day of LOVE YOUR DATA week and it all comes together. Well documented and organized data kept safe and shared with researchers continue the scientific conversations. A brilliant example of this is the Human Genome Project. This 13-year project funded by public and private efforts opened access to genetic data that led to the discovery of 1800 disease genes and over 2000 tests for human conditions. Countless research projects can get off the ground because their time and resources can focus on next steps instead of reinventing the already sequenced wheel. What is really going on is DATA REUSE.
Post by Tiffany Grant PhD, Research Informationist based at Donald C. Harrison Health Sciences Library
Data Shhharing
“Data” and “sharing” are two words that we don’t like to juxtapose in the scientific community. I mean, who wants to share their hard earned data? It’s the equivalent of sharing ones salary with the world- a group of strangers. The data generated via the scientific process is extremely personal, and is intrinsic to the life and legacy of the researchers who create it. Researchers don’t have a problem with publishing their work once completed, as it adds to their scientific credibility. But, therein lies the problem. Publication does not always equal access.
It is the publisher, not the researcher who owns the rights to the articles published in their journals. Access to these journals typically only comes through a paid subscription. So, while researchers can often get access to journals through their institution, access is not granted to all without paying for individual articles at a time, a process which can prove quite costly. Thus paying for access to online content makes sense only to publishers who profit from it. But, as a researcher, do you really want your hard work under this veil? Is that really what you worked for?
I say to you….slow down, smell the agar plates, take the time to document your data. Your future self will thank you, profusely.
Proper documentation provides the context that your data needs to persist through time, to integrate into new systems and to give you credit for your contributions in the form of data citations. Where possible, you should consider contributing the following information along with your dataset.