Rich Search and Discovery for Research Datasets: Building the Next Generation of Scholarly Infrastructure

by Julia I. Lane (Editor), Ian Mulvany (Editor), Paco Nathan (Editor)

Rapid growth in science and technology offer opportunities to conduct social science research at a scale that was almost unimaginable a generation ago.

However, issues around reproducibility and replicability threaten the legitimacy and utility of such research. This ground-breaking 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.

224 pages, ebook

Published June 27, 2020