Rich Search and Discovery for Research Datasets
Building the Next Generation of Scholarly Infrastructure
- Julia I. Lane - New York University
- Ian Mulvany - Columbia University New York City, USA
- Paco Nathan - Derwen AI
Research Methods
However, issues around reproducibility and replicability threaten the legitimacy and utility of such research. This ground-breaking open access book explores how automating the search for and discovery of datasets can help tackle irreproducibility in social science research.
Demonstrating how machine learning and natural language processing methods can be combined to create a new generation of automated tools for identifying datasets used in social research, the book also:
- Shows how artificial intelligence can extract metadata from research data
- Tackles issues like sharing confidential data and lacking social scientific infrastructure
- Provides innovative ideas for using technology in research to implement positive change.
With contributions from across the globe, this insightful and topical book showcases how technology can advance social research and help us address key issues facing society today.