Author Archives: Amy Koshoffer

Registration Information for Ohio Supercomputer Center Workshop: Computing Services to Accelerate Research and Innovation

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Ohio Supercomputer Center Workshop:  Computing Services to Accelerate Research and Innovation

Discover how the Ohio Supercomputer Center (OSC) can help accelerate your scientific research by attending a free workshop and training session on Wednesday August 10, 2016.  Sponsored by UC Information Technologies (UCIT) Research & Development, the workshop will help researchers learn more about the high performance computing services provided by the Ohio Supercomputer Center and how to access them.  Topics include:

  • What is OSC? How can OSC help you?
  • High performance computing concepts
  • Hardware and software available at OSC
  • Details on our newest clusters
  • How to connect and log in
  • How to use storage and file systems
  • Introduction to new web interface OnDemand3

There are no prerequisites to attend the workshop, and participants will be able to connect to the supercomputers during the event.  Two identical sessions will be held on August 10th, from 10:00 to 11:30 A.M. in the Health Sciences Library, Electronic Classroom, and from 1:00 to 2:30 P.M. in the Langsam Library Room 475.

To register for the event, visit: https://www.osc.edu/registration_UC_Aug10

For questions or more information, contact Jane Combs:  combsje@ucmail.uc.edu

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Updated Room! Making Sense of Biomedical Literature, a Clinical & Translational Research Training Workshop

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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)

Rworkshop20160808V2

Big Data Training for Translational Omics Research

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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.

Intro to GIS workshop

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HamCo

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

 

LOVE YOUR DATA Day 5 – LOVE that Data Reuse

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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.

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PolicyMap is now available

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PolicyMap is a cloud-base data and mapping platform enabling government, commercial, non-profit and academic institutions to access data about communities and markets across the U.S. It may be used for research, market studies, business planning, site selection, grant applications and impact analysis.

 http://uclid.uc.edu/search~S9/?searchtype=X&searcharg=policymap&searchscope=39

Available data includes demographics, home sale statistics, health data, mortgage trends, school performance scores and labor data like unemployment, crime statistics and city crime rates. ( Jan. 26, 2012)

Full listing of datasets http://www.policymap.com/our-data-directory.html

LOVE YOUR DATA Day 4 – Data Shhharing

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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?

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