| 1 |   | FOUNDATIONS OF DATA SCIENCE FOR STUDENTS IN GRADES K-12 : proceedings [electronic resource]     
 | National Academies of Sciences, Engineering, and Medicine (U.S.) | NATIONAL ACADEMIES PRESS | 2023 |   | 
						
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							| 2 |   | Access rules : freeing data from big tech for a better future / [electronic resource]     
 | Mayer-Scho?nberger, Viktor |  | 2022 |   | 
						
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							| 3 |   | The data economy : implications from Singapore /     
 | Sree Kumar | Routledge | 2018 |   | 
						
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							| 4 |   | The data science handbook /     
 | Cady, Field | John Wiley & Sons, Inc. | 2017 |   | 
						
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							| 5 |   | Refining the concept of scientific inference when working with big data : proceedings of a workshop /     
 | Wender, Ben A. | the National Academies Press | 2017 |   | 
						
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							| 6 |   | Big data and high performance computing /     
 | International Research Workshop on Advanced High Performance Computing Systems (2014 : Cetraro, Italy) |  | 2015 |   | 
						
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							| 7 |   | Data matters : ethics, data, and international research collaboration in a changing world : proceedings of a workshop / [electronic resource]     
 | Alper, Joe Sloan, Susan Sauer | the National Academies Press | 2018 |   | 
						
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							| 8 |   | Big data and democracy /     
 | Macnish, Kevin Galliott, Jai | Edinburgh University Press | 2020 |   | 
						
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							| 9 |   | The crowd & the cosmos : adventures in the zooniverse /     
 | Lintott, Chris | Oxford University Press | 2019 |   | 
						
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							| 10 |   | The crowd & the cosmos : adventures in the zooniverse / [electronic resource]     
 | Lintott, Chris | Oxford University Press | 2019 |   | 
						
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