Author Archives: Amy Koshoffer

The Open Science Framework – a tool to help you organize and collaborate on research projects

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Welcome back to campus!  As you begin to plan out your research projects or continue on going research, you may find a need to tie down all the working parts of your projects.  One tool that can help you is the Open Science Framework.  This tool developed by the Center for Open Science is a easy to use platform that allows you to create a structure to organize projects, invite collaborators, share within your research group and with the research community at large.  The mission of the COS is to promote transparency and reproducibility in research through practice and resource development.  Though the words open and science appear in the name, the projects you manage within the OSF are private from the start and made only public if you choose to share.  And you can share a part or all of the project as you wish.  And it is not just a STEM platform.  Any group needing to organize a project can use the OSF.  UC has a dedicated portal to the OSF at https://osf.uc.edu .

Over the next few weeks, stop back to Liblog to learn more about how UC researchers are using the OSF to facilitate their research projects.

XSEDE HPC Workshop: BIG DATA – Data & Computational Science Series

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As part of the Data and Computational Science Series funded by the Provost Office, IT@UC and UC Libraries will host the XSEDE HPC Workshop: BIG DATA workshop.  

The University of Cincinnati is pleased to be a remote site for the XSEDE HPC Workshop on Big Data. This 2-day workshop will focus on topics including Hadoop and SPARK. Please bring a lap top, lunch will be provided both days.

When: Wednesday and Thursday September 5-6, 2018; 11am – 5pm

Location: University Hall 4th floor suite, Room 420B

Free Registration (required) Click Here!

Note: You need an XSEDE account to register: Create Account

Tentative Schedule (Eastern Standard Time)

Special Instructions: Participants should bring their own laptop, no previous HPC experience needed, lunch will be provided.

Parking: Kingsgate/University Hall Parking Garage or UC North Shuttle

DCS2 XSEDE BIG DATA flyer1

Questions? Contact Jane Combs at combsje@ucmail.uc.edu

XSEDE (eXtreme Science and Engineering Discovery Environment) is a virtual system that provides compute resources for scientists and researchers from all over the country. Its mission is to facilitate research collaboration among institutions, enhance research productivity, provide remote data transfer, and enable remote instrumentation. XSEDE is funded by National Science Foundation (NSF). Getting Started Guide for XSEDE.

XSEDE HPC  OpenMP workshop August 7, 2018 11am – 5pm

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As part of the Data and Computational Science Series funded by the Provost Office, IT@UC and UC Libraries will host a XSEDE HPC  OpenMP workshop.  

The University of Cincinnati is pleased to be a remote site for the XSEDE HPC Workshop on OpenMP, taught by the Pittsburgh Supercomputing Center. This workshop is intended to give C and Fortran programmers a hands-on introduction to OpenMP programming. Attendees will leave with a working knowledge of how to write scalable codes using OpenMP.

When: Tuesday August 7, 2018 – 11am – 5pm

Location: CECH Library Room 320, Teachers-Dyer Complex

Free Registration (required) Click Here!

Note: You need an XSEDE account to register: Create Account

Tentative Schedule (Eastern Standard Time)

Special Instructions: Participants should bring their own laptop, no previous HPC experience needed, lunch will be provided.

Parking: Stratford Heights Garage, 2630 Stratford Avenue

Questions? Contact Jane Combs at combsje@ucmail.uc.edu

DCS2 OpenMP flyer

XSEDE (eXtreme Science and Engineering Discovery Environment) is a virtual system that provides compute resources for scientists and researchers from all over the country. Its mission is to facilitate research collaboration among institutions, enhance research productivity, provide remote data transfer, and enable remote instrumentation. XSEDE is funded by National Science Foundation (NSF). Getting Started Guide for XSEDE.

XSEDE High Performance Computing Summer Boot Camp 2018

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As part of the Data and Computational Science Series funded by the Provost Office, IT@UC and UC Libraries will host a XSEDE HPC Summer Boot Camp.  

The University of Cincinnati is pleased to be a remote site for the XSEDE Summer Boot Camp, taught by the Pittsburg Supercomputing Center. The workshop will run from 11:00 am to 5:00 pm each day from June 4-7th. This 4-day event will include training with MPI, OpenMP, OpenACC, and accelerators.  The workshop will conclude with a special hybrid exercise contest that will challenge participants to apply their skills for three weeks after the training. Winners will be awarded the Fifth Annual XSEDE Summer Boot Camp Championship Trophy and an XSEDE Badge will be available to those who complete the challenge.

The event is free and open to all.  If you have further questions or need parking directions,

please contact Jane Combs: combsje@ucmail.uc.edu

Date: Monday, June 4 – Thursday, June 7, 2018

Location: CECH Library Room 320, Teachers-Dyer Complex

Free Registration (required) Click Here!

Note: You need an XSEDE account to register: Create Account

Tentative Schedule (Eastern Standard Time)

Special Instructions: Participants should bring their own laptop, no previous HPC experience needed, snacks and lunch will be provided.

Parking: Stratford Heights Garage, 2630 Stratford Avenue

XSEDE Overview

XSEDE (eXtreme Science and Engineering Discovery Environment) is a virtual system that provides compute resources for scientists and researchers from all over the country. Its mission is to facilitate research collaboration among institutions, enhance research productivity, provide remote data transfer, and enable remote instrumentation. XSEDE is funded by National Science Foundation (NSF).  Getting Started Guide for XSEDE.

 

 

Congratulations to Award Winning Capstone Project

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Seniors Celeste Bauer, John Meyer and Xi Ru take first prize for their Environmental Engineering Capstone Project

The Data & GIS Collab would like to congratulate Environmental Engineering Seniors John Myers, Xi Ru, and Celeste Bauer on their award winning capstone project. The project entitled “Ohio River Harmful Algal Blooms: Indicators and Real Time Monitoring” resulted in the design a geographic web application that tracks and updates river conditions from sensors set at multiple points along the Ohio River.  Collab Students Shiyu Gong and Jenny Latessa worked with Ms. Ru as she investigated various web mapping tools for her team to use.  This is one of several web mapping projects the Collab has consulted on recently and shows growing interest and applications for this type of mapping.  It is a great pleasure for the lab to be involved and to gain knowledge about new tools and  techniques.  We congratulate John, Xi and Celeste on their hard work and great ideas and wish them much success in their future endeavors.

Farewell and Hello – New Student Helper in the Data & GIS Collab

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With the end of the semester comes change.  And this is also true for the Data & GIS Collab.  Our wonderful student Shiyu Gong will end her time with us as finals end this week.  We thank her for all the hard work and wish her the best as she pursues the goals of her next phase of education.  You will do amazing work!

Shiyu Gong

 

 

 

 

 

 

 

We also welcome a new student to the lab.  Zhiyuan Yao will join us starting April 30th.  She is a Geography & GIS graduate student and has much GIS expertise.  She has been a TA for both introduction and intermediate GIS courses and is interested in transportation research.  She is eager to help you with your spatial analysis.  Come visit her in the Collab.  Hours for the lab are posted at  https://guides.libraries.uc.edu/GISandData/Collab

Zhiyuan Yao, Jenny Latessa and Shiyu Gong of the Data & GIS Collab

Ohio Supercomputer Center to Provide Two Workshops on Resources

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Posted on behalf of Jane Combs

Associate Director, IT@UC Research & Development University of Cincinnati

The Ohio Supercomputer Center will offer two workshops on its resources and how to use them Tuesday March 13, on both East and West campuses.
IT@UC Research & Development will be hosting the Ohio Supercomputer Center for two workshops on Tuesday, March 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 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.

The morning session will take place on West Campus, Langsam Library, room 475 from 10:30 a.m. – 12 p.m. The afternoon session will take place on East Campus in MSBRCV, E602 from 1:30 – 4 p.m. Laptops are needed if attendees want to participate in the hands-on portions of the sessions.

Workshops are open to anyone interested in learning about OSC services and those who want to use their accounts more efficiently; this is a great opportunity to ask any questions you have about performing your computational research on our systems. There are no prerequisites for attending.

 Morning topics include:

  • High performance computing concepts
  • Hardware and software available at OSC
  • Storage and file systems
  • How to start a new project and request resources
  • How to use our web portal OnDemand
  • Introduction to batch processing

Afternoon topics will include:

  • Introduction to Big Data
  • Data analytics at OSC
  • Running Hadoop and Spark at OSC

Register HERE

For additional information, contact Jane Combs at combsje@uc.edu.

2018_313 OSC Workshop Flier-UC

Love Data Week 2018

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“Hey Data-ful, do you come here often?”                              

“Why yes, yes I do, You can always find me in the repository.”

It is Love Data Week and time to show your love for your research output.

What is Love Data Week (#LDW18)?

From the Love Data Week website – http://lovedataweek.org/

Similar to Open Access Week, the purpose of the Love Data Week (LDW) event is to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services. We will share practical tips, resources, and stories to help researchers at any stage in their career use good data practices.

Love Data Week is a social media event coordinated by research data specialists, mostly working in academic and research libraries or data archives or centers. We believe research data are the foundation of the scholarly record and crucial for advancing our knowledge of the world around us. If you care about research data, please join us! This event is open to any institution – small, large, research intensive or not, so please feel free to share, adapt, and improve upon it.  We encourage individuals, data librarians or otherwise, to participate in the campaign.

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First Mapathon held at UC Libraries

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On November 4th, UC Libraries partnered with the Cincinnati-Dayton Region office of the Red Cross and the Geography Graduate Student Association (GGSA) to hold a Missing Maps mapathon.

Students participating in mapathon

Twenty students, librarians and Red Cross members gathered at Langsam Library where Red Cross interns Michael Gladstone and Meri Sambou led the group through a brief training and explained the task assigned.

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Center for Open Science Workshop

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Recently UC Libraries and the Graduate School hosted the Center for Open Science for two workshops on research reproducibility.  The Center for Open Science, a non-for-profit based in Charlotteville, Va.  promotes openess, integrity and transparency in research.  Ian Sullivan of the COS facilitied the workshop and worked with researchers to address several types of repoducibility issues in research- Computational, Methodological and Results replicability.

Ian Sullivan of the COS works with UC students and Biology faculty Nate Morehouse at reproducibility workshop

Computational reproducibility means that given the data and code/analysis methods used, someone else could reproduce the graphs and calculations in your paper or report.  Methodological reproducibility means that someone else could follow your protocols and rerun the experperiment or research again and get the same results as you did.  And results replicability means that with new data and using your methods and analysis, someone else can come to the same conclusion as you did.

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