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

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.

OSF FOR UC is here

The Researcher Services group, an initiative of UC Libraries with the IT@UC R&D Team, is pleased to announce a new tool for research projects: OSF for UC.

There is no cost to use OSF for UC.  OSF, or the Open Science Framework, an open-source workflow tool appropriate for any discipline and developed by the Center for Open Science.

OSF for UCosf.uc.edu — is UC’s portal for students, faculty, staff and others who need to manage project files and documents.  Sign-in is easy – go to osf.uc.edu, sign in, choose University of Cincinnati, then your UC 6+2 Central Login.

Through OSF, project teams can assign collaborators (internal and external to UC) and share project documents at a granular level (only share what you want, with whom you want).  Projects managed through the OSF are private by default.  Any or all parts of a project can be made public as desired or required by grant funders or others. 

Continue reading OSF FOR UC is here

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

Ohio Supercomputer Center workshops on April 13, 2017

IT@UC Research & Development will be hosting the Ohio Supercomputer Center for two workshops on Thursday, April 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 morning session will be held from 10-11:30 a.m. on West Campus in Langsam Library, room 475. The afternoon session will be held from 1:30-3:30 p.m. on East Campus in MSBRCV, E602. Laptops are needed if attendees want to participate in the hands-on portions of the sessions.
For more information and to register:  click here

Love Your Data Week Day 5 Rescuing Unloved Data

Today’s LYD post is by Amy Koshoffer, Science Informationist based at the Geology Math and Physics Library with editorial support from Dr. Eric J. Tepe, Assistant Professor of Biology and Curator of the Margaret H. Fulford Herbarium.

It has been sometime since I stepped over the threshold of my old lab in the Care/Crawley Building. Many changes occurred in the interim including a move to another floor of the building. There are times I miss the bench research and the data I created in my time as a senior research assistant. One of my favorite techniques was microscopy and particularly Electron Microscopy (EM). I remember the multitude of samples processed, the long wait for samples to be ready to image and then finally all the amazing images we captured. Processing samples for EM imagining is a long and sometimes challenging technique. The samples need to be dehydrated and then infiltrated with a resin to stabilize the structures and prevent destruction from the electron beam during viewing. You might not know if a sample has been ideally preserved until you get to the imaging lab and begin to examine the sample. But what joy when the images look amazing with crisp detail and no water holes. So much work and resources went into the sample preservation and acquiring images.

I wonder what will happen to that effort in the years and decades to come. Are there others who might want to use the physical samples and digital images in their own work? Did I do what was needed to make sure that someone could reuse all the data created? Continue reading Love Your Data Week Day 5 Rescuing Unloved Data