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Drafty
A Smarter Wiki For Data
Drafty strives to keep data up-to-date by recruiting people to review it from the crowd of people already using it. This continual review allows the maintenance of data to be self-sustaining over time. Potential reviewers can freely edit specific data, add new rows, delete rows, comment on rows, and generate sentence-based insights from the data called "Did you know."
Datasets and Products
- Computer Science Professors
- CS Open Rankings
Used for an analysis of computer science hiring trends
A new approach to computer science rankings. A meta ranker using real-time data from CS Professors as one of its sources.
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Drafty: Enlisting Users to be Editors who Maintain Structured Data
Shaun Wallace, Lucy van Kleunen, Marianne Aubin-Le Quere, Abraham Peterkin, Yirui Huang, Jeff Huang. HCOMP 2017 [source code]
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Case Studies on the Motivation and Performance of Contributors Who Verify and Maintain In-Flux Tabular Datasets
Shaun Wallace, Alexandra Papoutsaki, Neilly H. Tan, Hua Guo, Jeff Huang. CSCW 2021
Developed by Shaun Wallace and others
Brown University HCI Group
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