Data trajectories: tracking reuse of published data for transitive credit attribution
The ability to measure the use and impact of published data sets is key to the success of the open data/open science paradigm. A direct measure of impact would require tracking data (re)use in the wild, which is difficult to achieve. This is therefore commo...
Main Author: | Paolo Missier |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Edinburgh
2016-09-01
|
Series: | International Journal of Digital Curation |
Online Access: | http://www.ijdc.net/article/view/425 |
Similar Items
-
The Anatomy of a Data Citation: Discovery, Reuse, and Credit
by: Hailey Mooney, et al.
Published: (2012-05-01) -
Approximate Similarity Measurements on Multi-Attributes Trajectories Data
by: Pan Xiao, et al.
Published: (2019-01-01) -
A trajectory data publishing algorithm satisfying local suppression
by: Xiaohui Li, et al.
Published: (2021-02-01) -
Risk-Aware Individual Trajectory Data Publishing With Differential Privacy
by: Jianzhe Zhao, et al.
Published: (2021-01-01) -
Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion
by: Songyuan Li, et al.
Published: (2021-02-01)