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Tracking Data Reuse: Motivations, Methods, and Obstacles

Presenter 1
Heather Piwowar
NESCent, University of British Columbia

Rewarding investigators who share data, assessing the impact of data repositories, and measuring the intended and unintended effects of data policy decisions all depend on being able to track dataset reuse. Unfortunately, tracking data reuse is currently extraordinarily difficult due to diverse attribution practices, tool limitations, and data source restrictions. Through a Pecha Kucha overview and subsequent details in a more traditional format, this talk will summarize recent experiences in tracking data reuse. Examples will be drawn from the ongoing project Tracking Data Reuse: Following one thousand datasets from public repositories into the published literature (winner of the 2010 ASIS&T SIGUSE Elfreda A. Chatman Research Proposal Award).

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