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Digital Innovation in eScience: The Effect of Digital Practice on Traditional Citation-Based Scientific Recognition

Sun, June 12, 11:00 to 12:15, Fukuoka Hilton, Argos D


eScience software development communities produce novel research and educational digital artifacts. Does the work invested in producing these artifacts lead to recognition in the broader scientific literature? Examining the digital practice structure that emerges from the micro-level iterative code development sequence of developers we model and predict mentions of the collaborative products in the citation space of the official literature. We empirically estimate the model using data from nanoHUB, an escience development space. 477 nanotechnology research tool developers have contributed more than 715 million lines of code. Estimating a spatial autocorrelative probit regression, we found that a developer’s contributions to digital scientific innovations have a positive effect, while the digital practice structure create global negative dependency effects.