Data Science and AI in Context: Summary and Insights
Author : Alfred Spector This paper explores how to deploy data science and data-driven AI, focusing on the broad collection of considerations beyond those of st...
Étiquette : data science
In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
Authors : Gabrielle O’Brien, Jordan Mick Data science has been heralded as a transformative family of methods for scientific discovery. Despite this excitement,...
Data Science at the Singularity
Author : David Donoho Something fundamental to computation-based research has really changed in the last ten years. In certain fields, progress is simply dramat...
Looking Back to the Future: A Glimpse at Twenty Years of Data Science
Author : Lili Zhang This paper carries out a lightweight review to explore the potentials of data science in the last two decades and especially focuses on the ...
Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer
Authors : Moritz Schubotz, Ankit Satpute, André Greiner-Petter, Akiko Aizawa, Bela Gipp Small to medium-scale data science experiments often rely on research so...
Data Science Tools for Monitoring the Global Repository Eco-System and its Lines of Evolution
Authors : Friedrich Summann, Andreas Czerniak, Jochen Schirrwagen, Dirk Pieper The global network of scholarly repositories for the publication and disseminatio...
Developing the Librarian Workforce for Data Science and Open Science
Authors : Lisa Federer, Sarah Clarke, Maryam Zaringhalam URL : Developing the Librarian Workforce for Data Science and Open Science