RDA/CODATA Schools of Research Data Science 5 Years of Success. What should the next 5 Years look like?

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29 Jul 2020
Meeting objectives: 
  • Provide an introduction to the schools and the newly formed working groups.
  • Breakout into discussion groups, each covering a functional working group area within the School’s governance structure over the next 5 years. These breakout groups will include Curriculum Evolution, Sustainability, Training-the-Trainers, External Messaging, and Building an Alumni Network.
  • Bring breakout groups together to discuss ideas from each group. Ask groups to provide some commitment to be involved in future remote working group sessions. 
Meeting agenda: 

 

Collaborative Notes Link: https://docs.google.com/document/d/12fmRExPhRN8xV_Rup37sUtcazqH2SGTsbhCM...

 

  • Introduction and Session Format Review (10’)
  • Breakout Sessions (50’)
    • Curriculum Evolution
    • Sustainability
    • Training-the-Trainers
    • External Messaging 
    • Building an Alumni Network
  • How do you get involved? (50’)  
    • 10’ for each breakout group. 
       
Target Audience: 

All of RDA interested in Education and Outreach

Group chair serving as contact person: 
Brief introduction describing the activities and scope of the group: 

The Interest Group works to grow a community of trainers that participate in the Schools in Research Data Science for Early Career Researchers (ECRs). In particular, the Schools offer a model for providing that cohort with a set of foundational skills for processing, analyzing, managing, and visualizing research data. The schools were specifically to be delivered to ECRs from Low and Middle-Income Countries (LMICs). The first of these Schools ran at the International Centre for Theoretical Physics (ICTP), Trieste, Italy, in August 2016 and our 5th year of hosting schools will be kicked off in August of 2020 with the fifth annual Trieste event. This will be the 11th school and approximately 400 students will have completed schools by the start of this Trieste school.

This year’s Trieste edition will be the first virtual school and the first Train-the-trainer school. Its goal is to provide graduate students, faculty, and research institution staff the necessary set of foundational Data Science skills to enable them to train Early Career Researchers to manage and analyse data in an efficient and effective manner for the 21st century. We are specially focused on alumni and our aim is to extend and enrich their understanding of the school curriculum and teaching approaches to facilitate them being future trainers. 

The initiative is continuing with support and engagement from both CODATA and RDA. There are a number of significant outputs which will be the focus for discussion: the model for the curriculum as a broad but shallow foundational course in essential data skills for researchers; the materials which can be reused and refined (and approaches to making this process as effective as possible); the model for building a network of schools; and the participants and instructors as the agents of this.

The session at RDA P16 will focus on the proposal of working groups that will lead the Schools into the next 5 years of operation. These include functional working groups focused on Curriculum Evolution, Sustainability, Train-the-Trainer Sessions, External Messaging, Building an Alumni Network and regional working groups focused on Africa and Europe, Asia and Australia, and North Americas. 
 

Short Group Status: 

Established and Endorsed. 

The first School ran at the International Centre for Theoretical Physics (ICTP), Trieste, Italy, in August 2016 and our 5th year of hosting schools will be kicked off in August of 2020 with the fifth annual Trieste event. This will be the 11th school and approximately 400 students will have completed schools by the start of this Trieste school.

The initiative is continuing with support and engagement from both CODATA and RDA. There are a number of significant outputs which will be the focus for discussion: the model for the curriculum as a broad but shallow foundational course in essential data skills for researchers; the materials which can be reused and refined (and approaches to making this process as effective as possible); the model for building a network of schools; and the participants and instructors as the agents of this.

Type of Meeting: 
Working meeting
Meeting presenters: 
Raphael Cobe, Sara El jadid, Bianca Peterson, Hugh Shanahan