Ohio Supercomputer Center Workshop – Oct 10th

Posted on Behalf of Jane Combs –  combsje@uc.edu.

The Ohio Supercomputer Center will offer two workshops on its resources and how to use them Tuesday, October 10, on both East and West campuses.

IT@UC Research & Development will be hosting the Ohio Supercomputer Center for two workshops on Tuesday, October 10. 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.

Register for the workshops HERE

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.

Continue reading Ohio Supercomputer Center Workshop – Oct 10th

Most UC Libraries Closed Labor Day, September 4

labor dayUC Libraries will be closed Monday, September 4 for Labor Day, except for the Donald C. Harrison Health Sciences Library, which will be open 9am-5pm. This closing includes the Langsam Library 4th floor space, which will close Sunday, September 3 at 11pm and re-open Tuesday, September 5 at 7:45am.

A complete listing of library hours can be found online at www.libraries.uc.edu/about/hours.html.

Enjoy the long holiday weekend.

GIS Learning Community – First Meeting for 2017-2018

 GIS stands for Geographic Information Systems.  GIS has applications for both teaching and research across many disciplines.

Do you need to visualize your spatial data but don’t know how? Do you have spatial data but don’t know how to map it?  Are you looking for guidance or have expertise to share regarding the analysis of spatial data?  Are you an ArcGIS, Q-GIS or other GIS program user and want to connect with other people who use these programs?  Are you simply curious about GIS and want to learn more?

The GIS Learning Community can help you address these and other questions.  The goal of the community is to be a user-driven forum for novice and expert practitioners to come together and discuss tools, resources, projects and solutions surrounding the spatial aspects of their data.   We invite interested individuals across all of UC to join us in building this community. The community is open to All Faculty, Staff and Students, as well as interested parties from outside of UC.  Please share with your colleagues and students.

The Details –

Date: September 6, 2017

Time: 3:00 to 4:30 pm

Place: (VENUE CHANGE 480 Langsam)

Light refreshments will be served

RSVP and Join the GIS LC at https://form.jotform.us/72324913145149.

If you are interested in the GIS Learning Community and are not able to come to the first meeting, RSVP or email ASKGIS@UC.Edu to be added to the GIS LC email list. Future invites will go to the GIS LC email list only.

More information is available on the GIS LC page on the GIS research guide:  http://guides.libraries.uc.edu/GIS/GISLC

Two Ohio Supercomputer Center Webinars coming in July

IT@UC is hosting the OSC for two live streaming webinars

JULY 20: BIG DATA @ OSC Workshop: INTRO TO HADOOP & SPARK
Date: Thursday, July 20, 2017 – 1:00 pm to 4:00 pm
Streaming Location: Langsam 475

REGISTER ONLINE  (click yes to – Select if attending the remote event at University of Cincinnati)

JULY 27: PERFORMANCE TUNING WORKSHOP
Date: Thursday, July 27, 2017 – 1:00 pm to 4:00 pm
Location: 850D Baldwin Hall (CEAS Library)

REGISTER ONLINE (click yes to – Select if attending the remote event at University of Cincinnati)

These are live webex events. Brett Kottmann will
be on site. Questions? brett.kottmann@uc.edu

Attached: OSC webcast ad flyer V2_201707

Data & GIS Collab hours for the next two weeks

The hours for the Data & GIS Collab (located in the Geo-Math Physics library in Braunstein Hall) for the dates Friday July 7th to Monday July 17th  will be as follows:

Friday July 7th the consult hours will be 10 am to 2 pm

There will be no consult hours from Monday July 10th through Monday July 17th.  On July 18th  the normal schedule will resume.

During these times, both workstations will be available for self directed public use.

This information will also be on the campus guide: http://guides.libraries.uc.edu/GIS/CollabInfo

Email ASKGIS@UC.Edu with questions

Sign into your ORCID account using your UC login

What is an ORCID?   ORCID stands for Open Researcher and Contributor ID.

You can now access your ORCID account using your UC login.

Visit the ORCID login page and click the Institutional Account button.  Choose University of Cincinnati Main Campus.  You will be prompted to link the two accounts.

Don’t have an ORCID yet?

You can register directly on the website http://orcid.org

OR Even Better

You can access a prefilled registration form linked to your UC email through Scholar@UC on your profile page.

Currently you can enrich your ORCID profile with content in Scholar using a DOI given to the work. (link to video-http://www.kaltura.com/tiny/ycktt 2017-03-17)

For more information about this new login feature, please refer to the blog post from ORCID

https://orcid.org/blog/2016/05/21/what-was-my-password-again

Contact ASKDATA@UC.EDU for more information or with questions.

UC Data Day 2017 Featured its First Student Poster Session

 

 

 

 

 

 

 

The major focus of UC Data Day is to build community around best practices for data and to provide a forum for discussion about challenges and opportunities in data management, data sharing, reproducible research and preservation.

At the first UC Data Day held in 2016, faculty panelists began the conversation and highlighted the diverse and broad approaches to these challenges.  For the second UC Data Day, we wanted to include a student voice as well.

Continue reading UC Data Day 2017 Featured its First Student Poster Session

Love Your Data Week Day 4 – Finding the Right Data

Today’s LYD post is by Don P. Jason III, MLIS, MS, Clinical Informationist based at the Donald C. Harrison Health Sciences Library.

Welcome to Day 4 of “Love Your Data Week!” Whether you’re a student analyzing a data set for a school project or a researcher combining data sets to create new insights, finding the right data is essential! This blog post will list a few places you can look to find free, authoritative and unique data sets. The data sets have be broken down into three categories:  US Government Data Sets, International Data Sets and Google Data Sets.

US Government Data Sets

Data.gov http://data.gov – This web site has an eclectic mix of datasets from criminal justice to climate data.  This government site encourages people to use the data to create web and mobile applications and design data visualizations.

US Census Bureau http://www.census.gov/data.html – This web site provides data on the US population and economy.  Utilizing this site’s data has never been easier thanks to new: API’s, data visualizations, mobile apps and interactive web apps.

Healthdata.gov https://www.healthdata.gov/ – This web site includes US healthcare data.  The site is dedicated to making high value health data more accessible to entrepreneurs, researchers and policy makers.

National Climatic Data Center http://www.ncdc.noaa.gov/data-access/quick-links#loc-clim – This is the world’s largest archive of weather data. It has a robust collection of environmental, meteorological and climate data sets from the US National Climatic Data Center.

Continue reading Love Your Data Week Day 4 – Finding the Right Data

Paper featuring Scholar@UC Gets Best Research Paper Award!

Congratulations to Dr. Nan Niu and his research team!re16_bestresearchpaperaward_niu

Recently Dr. Nan Niu traveled to Beijing, China to attend the RE16 conference- Requirements Engineering16 http://re16.org/downloads/RE16%20program.pdf. He took with him high hopes for the requirements engineering research paper he and his team submitted together with Linda Newman, Head of Repositories and Digital Collections and Amy Koshoffer, Science Informationist. For the beginning of this story and more on the models created using Scholar@UC use cases, see the blog entry “Scholar@UC Goes to Class” (https://libapps.libraries.uc.edu/liblog/2016/01/scholaruc-goes-to-class/).

Dr. Niu has made all the research materials supporting this work available through Scholar@UC https://scholar.uc.edu/works/documents/wm117q084.  Dr. Niu is making brilliant use of Scholar@UC as a teaching tool, a research subject, data preservation tool and an open data/access model.  Again congratulations to Dr. Niu and the whole team!!