Author Archives: Amy Koshoffer

Nature Asks – Where are the data?

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Starting in October, researchers publishing in Nature and 12 other Nature titles will have include information on whether and how others can access the data supporting the article.  This means authors will need to compose a Data Availability Statement.  The full policy is available at go.nature.com/2bf4vqn) and more information is on the Nature blog.

Scholar@UC, our own institutional repository, would be the right tool to help comply with this new policy.  If you need more information or help with access to Scholar@UC please Contact the Scholar@UC Team or a UC Libraries informationist.

Tiffany Grant PhD,  Research Informationist at tiffany.grant@uc.edu

Don Jason Clinical Informationist at don.jason@uc.edu

Amy Koshoffer Science Informationist at amy.koshoffer@uc.edu

 

Paper featuring Scholar@UC Gets Best Research Paper Award!

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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!!

September Program for GIS Learning Community

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September program for the

UC GIS (Geographic Information Systems) Learning Community.

Date: Wed Sept 28, 2016

Time: 3:15 – 4:25

Venue: Langsam 462

We have three presenters who will talk on very diverse topics.

1st Lightning Talk – Carolyn Hansen – Metadata Librarian, UC Libraries –Digital Humanities projects using GIS visualizations and discuss how GIS applications can be used to answer humanities research questions.

2nd Lightning Talk – Jeremy Koster – Assoc Professor, A&S Anthropology – Using GIS and remote sensing to understand the spread of the agricultural frontier in the rain forests of Nicaragua

In depth presentation – Jeffery Timberlake- Assoc Professor, A&S Sociology – Understanding and accessing census data

We will also be joined by James Lee who will talk briefly about the Digital Humanities and Scholarship Center and his role as Co-Director and his vision for the center.

New Venue for GIS Learning Community

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Due to the great response and interest in the GIS Learning Community, we are moving the venue to 201 Braunstein Hall located just down the hall from the GMP Library.

 

UC GIS Learning Community Forming

 

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, A Q-GIS or other GIS program user and want to connect with other people who use these programs?

 

The Geography Graduate Student Organization and UC Libraries will host an organizational meeting on August 31st at 3:30 in 201 Braunstein – map to discuss the formation of a cross disciplinary Geographic Information Systems (GIS) Learning Community.  The goal of the community is to create a user-driven forum for novice and expert practitioners to come together and discuss tools, resources and solutions to questions and new projects that develop as researchers consider the spatial aspects of their data.   We invite interested individual across all of UC to join us in building this community.

 

Light Refreshments will be provided.  Click here to RSVP.  For more information, please contact Amy Koshoffer, Science Informationist, at Koshofae@ucmail.uc.edu.

UC GIS Learning Community Forming

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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, A Q-GIS or other GIS program user and want to connect with other people who use these programs?

The Geography Graduate Student Organization and UC Libraries will host an organizational meeting on August 31st at 3:30 in the Geology-Math and Physics Library (located just off Schneider Quad in 240 Braunstein – map) to discuss the formation of a cross disciplinary Geographic Information Systems (GIS) Learning Community.  The goal of the community is to create a user-driven forum for novice and expert practitioners to come together and discuss tools, resources and solutions to questions and new projects that develop as researchers consider the spatial aspects of their data.   We invite interested individual across all of UC to join us in building this community.

Light Refreshments will be provided.  Click here to RSVP.  For more information, please contact Amy Koshoffer, Science Informationist, at Koshofae@ucmail.uc.edu.

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.