Open science 2.0: revolutionizing spatiotemporal data sharing and collaboration

Open science 2.0: revolutionizing spatiotemporal data sharing and collaboration

Abstract The Spatial Data Lab (SDL) project is a collaborative initiative by the Center for Geographic Analysis at Harvard University, KNIME, Future Data Lab, China Data Institute, and George Mason University. Co-sponsored by the NSF IUCRC Spatiotemporal Innovation Center, SDL aims to advance applie...

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Bibliographic Details
Main Authors: Siqin Wang, Xiao Huang, Mengxi Zhang, Shuming Bao, Lingbo Liu, Xiaokang Fu, Ting Zhang, Yongze Song, Peter Kedron, John Wilson, Xinyue Ye, Chaowei Yang, Wendy Guan
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Computational Urban Science
Subjects:
Open science
Spatiotemporal data science
Sharable data
Repeatable workflow
Online Access:https://doi.org/10.1007/s43762-025-00165-1
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