Monthly Archives: May 2023

April 2023: Publications in the Data Science Journal

Title: How and Why Do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles
Author: Sara Lafia, Andrea Thomer, Elizabeth Moss, David Bleckley, Libby Hemphill
URL: http://doi.org/10.5334/dsj-2023-010
Title: Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education
Author: Zhong Liu, Chung-Lin Shie, Suhung Shen, James Acker, Angela Li, Jennifer C. Wei, David J. Meyer
URL: http://doi.org/10.5334/dsj-2023-009
Title: From Meaningful Data Science to Impactful Decisions: The Importance of Being Causally Prescriptive
Author: Victor S. Y. Lo, Dessislava A. Pachamanova
URL: http://doi.org/10.5334/dsj-2023-008
Title: Looking Back to the Future: A Glimpse at Twenty Years of Data Science
Author: Lili Zhang
URL: http://doi.org/10.5334/dsj-2023-007
Title: Attending to the Cultures of Data Science Work
Author: Lindsay Poirier
URL: http://doi.org/10.5334/dsj-2023-006