32 citations · 71 across the 7 of their papers we have counts for
7 papers
DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization
Lizhou Fan, Sara Lafia, Lingyao Li +2
Data users need relevant context and research expertise to effectively search for and identify relevant datasets. Leading data providers, such as the Inter-university Consortium fo…
How and Why do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles
Sara Lafia, Andrea Thomer, Elizabeth Moss +2
Data reuse is a common practice in the social sciences. While published data play an essential role in the production of social science research, they are not consistently cited, w…
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature
Sara Lafia, Lizhou Fan, Libby Hemphill
Discovering authoritative links between publications and the datasets that they use can be a labor-intensive process. We introduce a natural language processing pipeline that retri…
Subdivisions and Crossroads: Identifying Hidden Community Structures in a Data Archive's Citation Network
Sara Lafia, Lizhou Fan, Andrea Thomer +1
Data archives are an important source of high quality data in many fields, making them ideal sites to study data reuse. By studying data reuse through citation networks, we are abl…
Librarian-in-the-Loop: A Natural Language Processing Paradigm for Detecting Informal Mentions of Research Data in Academic Literature
Lizhou Fan, Sara Lafia, David Bleckley +3
Data citations provide a foundation for studying research data impact. Collecting and managing data citations is a new frontier in archival science and scholarly communication. How…
The craft and coordination of data curation: complicating "workflow" views of data science
Andrea K. Thomer, Dharma Akmon, Jeremy York +5
Data curation is the process of making a dataset fit-for-use and archiveable. It is critical to data-intensive science because it makes complex data pipelines possible, makes studi…
Leveraging Machine Learning to Detect Data Curation Activities
Sara Lafia, Andrea Thomer, David Bleckley +2
This paper describes a machine learning approach for annotating and analyzing data curation work logs at ICPSR, a large social sciences data archive. The systems we studied track c…