Making Your Research FAIR with CyVerse
EN
Self-study
Making Your Research FAIR with CyVerse

Making Your Research FAIR with CyVerse

Graz University of Technology

Sarah Stryeck

About

Duration 4 units
Unit 1 hour/unit
Licence CC BY-SA 4.0
Participants 90
Availability Unlimited
Start Date 1 de mayo de 2022
Costs € 0.00

General Course Information

#research #cyverse #lifesciences

The course 'Making your Research FAIR with CyVerse'  is intended to help researchers getting to know the cyberinfrastructure CyVerse and to learn how to work with CyVerse as well as attached HPC resources. This infrastructure is setup at different locations - among others Graz University of Technology, Medical University of Graz and University of Graz.  

Content

Course Content

This course focuses on functionalities of CyVerse. It helps students, researchers and other interested persons to learn how to use cyberinfrastructures.   


Course Goals

The goal of the course is to learn about functionalities of the cyberinfrastructure CyVerse. It is intended to teach how to do data management and (HPC) data analytics with your own datasets in CyVerse. It includes general information about data management principles, as well as specific information about data management and (HPC) analytics within CyVerse.   

Previous Knowledge

There are no specific prerequisites for the course.

Course attendees should have a general interest in data-driven research and data-handling practices.   

Course Procedure

The course will have in each unit an input lecture. After that, the attendees will have the possibility to test the learned content on the platform. In the end, there will be self-assessment questions to be completed.  

Certificate

For actively participating in the course you will receive an automatic certificate which includes your username, the course name as well as the completed lessons. We want to point out that this certificate merely confirms that the user answered at least 75% of the self-assessment questions correctly.

Licence

This work is licensed under CC BY-SA 4.0

Course Instructor

Sarah Stryeck
Sarah Stryeck

Sarah Stryeck is the instructor for this course from Graz University of Technology. She has her PhD in integrated structural biology and continued then as data steward at TU Graz. She is currently also employed at Know-Center as senior researcher for the topic data platforms. 

This course has been created within the CyVerse consortium, within frame of the project EuroCC (H2020) and with support from Digitale TU Graz and Austrian DataLab and Services.  

Login & Enrol Currently: 90 Participants

Free for all € 0.00

Partners

This course was created within the CyVerse consortium as part of the EuroCC (H2020) project and with the support of Digitale TU Graz and Austrian DataLAB and Services. 


Graz University of Technology

Graz University of Technology

Graz

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61 Courses
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