Incoming Resources
- The new big science, linking data to understand people in context, special editors: Sandra L. Hofferth, Emilio F. Moran
- Introduction to computation and programming using Python, with application to understanding data, John V. Guttag
- Memorie dinamiche, la conservazione dei database e il web archiving, Costantino Landino, Pasqualina A. Marzotti
- Intelligent tools for building a scientific information platform, advanced architectures and solutions, Robert Bembenik, Łukasz Skonieczny, Henryk Rybiński, Marzena Kryszkiewicz and Marek Niezgódka (eds.)
- Mastering Ethereum, building smart contracts and DApps, Andreas M. Antonopoulos and Dr. Gavin Wood
- Information sharing on the semantic Web, Heiner Stuckenschmidt, Frank van Harmelen
- A practitioner's guide to data governance, a case-based approach, Uma Gupta, San Cannon
- Data analytics applications in education, edited by Jan Vanthienen and Kristof De Witte
- Linked data management, Andreas Harth, Katja Hose, Ralf Schenkel
- Big data and Society
- Predictive analytics with Microsoft Azure Machine Learning, build and deploy actionable solutions in minutes, Roger Barga, Valentine Fontama, Wee Hyong Tok
- Big data in education, the digital future of learning, policy and practice, Ben Williamson
- Strategies and techniques for federated semantic knowledge integration and retrieval, Diego Collarana
- Practical statistics for data scientists, 50 essential concepts, Peter Bruce and Andrew Bruce