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IASSIST GVC 2021: Using Student Workers in the Delivery of Data Services (2021-05-20)
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0:00 Do Graduate Students Dream of -for- Loops? Ph.D. Students and Data Services at Emory University
17:15 From Pilot to JetStream: Building training pathways and collaboration in data science and digital humanities
25:25 The Meta-Support of Data Services: A discussion session on strategies for managing our workload with student labor
Do Graduate Students Dream of -for- Loops? Ph.D. Students and Data Services at Emory University
In addition to the work provided by full-time data librarians, data services at Emory University are also provided by advanced graduate students who have fellowships to work in different divisions within the libraries. These fellows play a key role in helping undergraduates (and some graduate students) with locating relevant data and especially with cleaning data into usable states. In this presentation, I will talk about the fellowship program, the backgrounds of graduate students who have had fellowships, how we select graduate students for fellowships, and the sorts of work that the fellows do. As undergraduates come to the libraries with increasingly intricate and complicated questions, data librarians at Emory have taken on more of a role in helping them clean and manage data. Consequently, the training and orientation which fellows receive increasingly emphasize such activities. This presentation will include an overview of the sequence of training exercises for cleaning and managing data in R and Stata that we use to introduce fellows to the types of questions undergraduates often have. The exercises also serve to introduce fellows to the mix of principles and practical considerations that inform how we support data-intensive research at the university, including how we (try to!) encourage undergraduates to use data in more transparent and reproducible fashions.
Robert O'Reilly, Emory University
From Pilot to JetStream: Building training pathways and collaboration in data science and digital humanities through the Library
Ryan Womack, Rutgers University
The Meta-Support of Data Services: A discussion session on strategies for managing our workload with student labor
Paula Lackie (chair), Carleton College
Deborah Wiltshire, UK Data Archive
Tim Dennis, UCLA
17:15 From Pilot to JetStream: Building training pathways and collaboration in data science and digital humanities
25:25 The Meta-Support of Data Services: A discussion session on strategies for managing our workload with student labor
Do Graduate Students Dream of -for- Loops? Ph.D. Students and Data Services at Emory University
In addition to the work provided by full-time data librarians, data services at Emory University are also provided by advanced graduate students who have fellowships to work in different divisions within the libraries. These fellows play a key role in helping undergraduates (and some graduate students) with locating relevant data and especially with cleaning data into usable states. In this presentation, I will talk about the fellowship program, the backgrounds of graduate students who have had fellowships, how we select graduate students for fellowships, and the sorts of work that the fellows do. As undergraduates come to the libraries with increasingly intricate and complicated questions, data librarians at Emory have taken on more of a role in helping them clean and manage data. Consequently, the training and orientation which fellows receive increasingly emphasize such activities. This presentation will include an overview of the sequence of training exercises for cleaning and managing data in R and Stata that we use to introduce fellows to the types of questions undergraduates often have. The exercises also serve to introduce fellows to the mix of principles and practical considerations that inform how we support data-intensive research at the university, including how we (try to!) encourage undergraduates to use data in more transparent and reproducible fashions.
Robert O'Reilly, Emory University
From Pilot to JetStream: Building training pathways and collaboration in data science and digital humanities through the Library
Ryan Womack, Rutgers University
The Meta-Support of Data Services: A discussion session on strategies for managing our workload with student labor
Paula Lackie (chair), Carleton College
Deborah Wiltshire, UK Data Archive
Tim Dennis, UCLA
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