Scholarly Publishing Commons^™

University Of Nebraska–Lincoln, Big Ten Scholarly Publishing, Sue Ann Gardner

University of Nebraska-Lincoln Libraries: Presentations

Slides of a presenttation about the University of Nebraska-Lincoln, University Libraries' scholarly publishing activities, given online at the Big Ten Scholarly Publishing Group monthly meeting on December 19, 2024.

Predatory Publishing And Global Scholarly Communications, Monica Berger

Publications and Research

redatory publishing is a complex problem that harms a broad array of stakeholders and concerns across the scholarly communications system. It shines a light on the inadequacies of scholarly assessment and related rewards systems, contributes to the marginalization of scholarship from less developed countries, and negatively impacts the acceptance of open access.   To fix what is broken in scholarly communications, academic librarians must act as both teachers and advocates and partner with other stakeholders who have the agency to change how scholarship is produced, assessed, and rewarded. Predatory Publishing and Global Scholarly Communications is a unique and comprehensive exploration of …

The Impact Of The Business School Research, Kai Peters, Howard Thomas

Research Collection Lee Kong Chian School Of Business

Producing high-quality research has long been an important strategic objective for business schools. Faculty research has typically been evaluated by articles appearing in highly regarded academic journals and by citation counts. Increasingly, however, government funding bodies are seeking more than just appearances in 4* journals, they are looking for meaningful societal impact. To this end researchers, in various countries, must submit case studies to funding bodies outlining concrete examples of impact in addition to the original research articles. In the future, the financial reward for high-impact case studies will significantly supersede the reward for journal prestige and citation counts.

Administration For Community Living (Acl) Response To The Office Of Science And Technology Policy Memo, 2022: Public Access Plan (January 2024)

Copyright, Fair Use, Scholarly Communication, etc.

ACL response to OSTP memo, 2022: Public Access Plan (January 2024)

Open Access And U. S. Federal Information Policy, Eric Harbeson

Copyright, Fair Use, Scholarly Communication, etc.

Federal agencies are directed, as a matter of United States Federal policy, to provide free, immediate public access to peer-reviewed scholarly publications that are produced with support from Federal research grant funding. Because copyright vests in the author of the work, agencies must have permission from the author in order to provide that access. A government-wide regulation, in place since 1976, constitutes one possible source for the needed permission. The “Federal Purpose License” provides that, as a condition of Federal funding, grant recipients issue the granting agency a non-exclusive license to use all works subject to copyright and either developed …

Tu-Net: A Strategic Alliance For Open Research: Libraries And Research-Associated Offices Collaborating To Support Open Research, Frances Madden, Lindsay Dowling, Seán Lacey, Johanna Archbold

Other

This year's theme is ‘Where is RMA Going? The Future of RMA in a Rapidly Changing World'. Read more about the EARMA Conference topics.

New challenges for RMAs are appearing every day across the research ecosystem and RMAs are expected to adapt and absorb. Artificial intelligence, academic freedom and integrity, Open Research, education and innovation, professionalisation and broadening of the profession, EDI, these and many others are transforming the ‘traditional’ role of the RMA.

Can Large Language Models Discern Evidence For Scientific Hypotheses? Case Studies In The Social Sciences, Sai Koneru, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Hypothesis formulation and testing are central to empirical research. A strong hypothesis is a best guess based on existing evidence and informed by a comprehensive view of relevant literature. However, with exponential increase in the number of scientific articles published annually, manual aggregation and synthesis of evidence related to a given hypothesis is a challenge. Our work explores the ability of current large language models (LLMs) to discern evidence in support or refute of specific hypotheses based on the text of scientific abstracts. We share a novel dataset for the task of scientific hypothesis evidencing using community-driven annotations of studies …

Short: Can Citations Tell Us About A Paper's Reproducibility? A Case Study Of Machine Learning Papers, Rochana R. Obadage, Sarah M. Rajtmajer, Jian Wu

Computer Science Faculty Publications

The iterative character of work in machine learning (ML) and artificial intelligence (AI) and reliance on comparisons against benchmark datasets emphasize the importance of reproducibility in that literature. Yet, resource constraints and inadequate documentation can make running replications particularly challenging. Our work explores the potential of using downstream citation contexts as a signal of reproducibility. We introduce a sentiment analysis framework applied to citation contexts from papers involved in Machine Learning Reproducibility Challenges in order to interpret the positive or negative outcomes of reproduction attempts. Our contributions include training classifiers for reproducibility-related contexts and sentiment analysis, and exploring correlations between …

Retrogressive Document Manipulation Of Us Federal Environmental Websites, Lesley Frew, Michael L. Nelson, Michele C. Weigle

Computer Science Faculty Publications

Changes made to webpages can affect their retrievability. Often this is done with the intention of increasing the page's search engine ranking to improve overall access to information on the page. The Environmental Data and Governance Initiative (EDGI) created a dataset that describes changes on US federal environmental webpages between 2016 and 2020. EDGI noted that many environmental terms were deleted from the pages, but without user data, claims that page retrievability and public information access were lowered are only anecdotal. The Open Resource for Click Analysis in Search (ORCAS) dataset was created during the same time frame, from 2017 …

Building Datasets To Support Information Extraction And Structure Parsing From Electronic Theses And Dissertations, William A. Ingram, Jian Wu, Sampanna Yashwant Kahu, Javaid Akbar Manzoor, Bipasha Banerjee, Aman Ahuja, Muntabir Hasan Choudhury, Lamia Salsabil, Winston Shields, Edward A. Fox

Computer Science Faculty Publications

Despite the millions of electronic theses and dissertations (ETDs) publicly available online, digital library services for ETDs have not evolved past simple search and browse at the metadata level. We need better digital library services that allow users to discover and explore the content buried in these long documents. Recent advances in machine learning have shown promising results for decomposing documents into their constituent parts, but these models and techniques require data for training and evaluation. In this article, we present high-quality datasets to train, evaluate, and compare machine learning methods in tasks that are specifically suited to identify and …