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Full-Text Articles in Library and Information Science

Examining The Notion Of The Boundary Object In Information Systems: The Transdisciplinary Oeuvre Of Cognitive Science, Laura Elien Ridenour Dec 2020

Examining The Notion Of The Boundary Object In Information Systems: The Transdisciplinary Oeuvre Of Cognitive Science, Laura Elien Ridenour

Theses and Dissertations

This study examined the transdisciplinary area of cognitive science, and was framed around the sociological notion of the boundary object. Harmonizing theoretical and technical approaches, methods introduced in this work moved beyond qualitative study practices traditional to boundary object theory work to a mixed-methods data-driven approach. Bibliometric Web of Science data, enriched with National Science Foundation (NSF) journal classifications, formed the foundation from which a seed-and-expand dataset were created from journals containing the string cogni* and their cited articles for the years 2006-2016. This two-tiered dataset allowed for the analysis of boundary-spanning interdisciplinary concepts, as identified by noun phrases, and …


Open Access Uptake By Universities Worldwide, Nicolas Robinson-Garcia, Rodrigo Costas, Thed N. Van Leeuwen Jul 2020

Open Access Uptake By Universities Worldwide, Nicolas Robinson-Garcia, Rodrigo Costas, Thed N. Van Leeuwen

Copyright, Fair Use, Scholarly Communication, etc.

The implementation of policies promoting the adoption of an open science (OS) culture must be accompanied by indicators that allow monitoring the uptake of such policies and their potential effects on research publishing and sharing practices. This study presents indicators of open access (OA) at the institutional level for universities worldwide. By combining data from Web of Science, Unpaywall and the Leiden Ranking disambiguation of institutions, we track OA coverage of universities' output for 963 institutions. This paper presents the methodological challenges, conceptual discrepancies and limitations and discusses further steps needed to move forward the discussion on fostering OA and …


Finding Datasets In Publications: The Syracuse University Approach, Tong Zeng, Daniel E. Acuna Mar 2020

Finding Datasets In Publications: The Syracuse University Approach, Tong Zeng, Daniel E. Acuna

School of Information Studies - Faculty Scholarship

Datasets are critical for scientific research, playing a role in replication, reproducibility, and efficiency. Researchers have recently shown that datasets are becoming more important for science to function properly, even serving as artifacts of study themselves. However, citing datasets is not a common or standard practice in spite of recent efforts by data repositories and funding agencies. This greatly affects our ability to track their usage and importance. A potential solution to this problem is to automatically extract dataset mentions from scientific articles. In this work, we propose to achieve such extraction by using a neural network based on a …