A Different Kind of Conversation: The Sparky Awards and Fresh Views on Change in Scholarly Communication

2009 ◽  
pp. 19-21
Author(s):  
Jennifer McLennan
Keyword(s):  
Scholarly Communication

On the Marginal Cost of Scholarly Communication

2016 ◽  
Author(s):  
Tiffany L Bogich ◽  
Sebastien P Ballesteros
Keyword(s):  
Marginal Cost ◽  
Scholarly Communication

Faculty Attitudes Towards Open Access Publishing, E-Print Servers and Institutional Repositories

2013 ◽  
Author(s):  
Markus Wust
Keyword(s):  
Open Access ◽  
Qualitative Study ◽  
Peer Review ◽  
Scholarly Communication ◽  
Faculty Attitudes ◽  
Open Access Publishing ◽  
Impact Factors ◽  
Teaching And Research ◽  
Institutional Repositories ◽  
Etude Qualitative

This qualitative study investigates how faculty gather information for teaching and research and their opinions on open access approaches to scholarly communication. Despite generally favorable reactions, a perceived lack of peer review and impact factors were among the most common reasons for not publishing through open-access forums.Cette étude qualitative examine comment les membres du corps professoral recueillent l’information pour l’enseignement et la recherche, et leurs opinions envers les approches de la communication scientifique à libre accès. Malgré des réactions généralement favorables, le manque perçu de révision par les pairs et les facteurs d’impact comptent parmi les motifs habituellement évoqués pour ne pas publier sur ces tribunes à libre accès. 

New Models of Content Creation and Scholarship at the Intersection of Library Spaces, Technologies, and Expertise

2018 ◽  
Author(s):  
Mike Nutt ◽  
Gregory Raschke
Keyword(s):  
Large Scale ◽  
Interactive Media ◽  
Scholarly Communication ◽  
Three Dimensions ◽  
Organizational Capabilities ◽  
High Definition ◽  
Content Creation ◽  
Full Life Cycle ◽  
Digital Scholarship ◽  
Digital Objects

Library spaces that blend collaboration areas, advanced technologies, and librarian expertise are creating new modes of scholarly communication. These spaces enable scholarship created within high-definition, large-scale visual collaborative environments. This emergent model of scholarly communication can be experienced within those specific contexts or through digital surrogates on the networked Web. From experiencing in three dimensions the sermons of John Donne in 1622 to interactive media interpretations of American wars, scholars are partnering with libraries to create immersive digital scholarship. Viewing the library as a research platform for these emergent forms of digital scholarship presents several opportunities and challenges. Opportunities include re-engaging faculty in the use of library space, integrating the full life-cycle of the research enterprise, and engaging broad communities in the changing nature of digitally-driven scholarship. Issues such as identifying and filtering collaborations, strategically managing staff resources, creating surrogates of immersive digital scholarship, and preserving this content for the future present an array of challenges for libraries that require coordination across organizations. From engaging and using high-technology spaces to documenting the data and digital objects created, this developing scholarly communication medium brings to bear the multifaceted skills and organizational capabilities of libraries.

scholarly journals Information extraction from digital social trace data with applications to social media and scholarly communication data

2020 ◽  
Vol 54 (1) ◽  
pp. 1-2
Author(s):  
Shubhanshu Mishra
Keyword(s):  
Social Media ◽  
Information Extraction ◽  
Scholarly Communication ◽  
Structured Data ◽  
Graph Structure ◽  
Learning Models ◽  
Social Media Data ◽  
Scholarly Data ◽  
Media Data ◽  
Machine Learning Models

Information extraction (IE) aims at extracting structured data from unstructured or semi-structured data. The thesis starts by identifying social media data and scholarly communication data as a special case of digital social trace data (DSTD). This identification allows us to utilize the graph structure of the data (e.g., user connected to a tweet, author connected to a paper, author connected to authors, etc.) for developing new information extraction tasks. The thesis focuses on information extraction from DSTD, first, using only the text data from tweets and scholarly paper abstracts, and then using the full graph structure of Twitter and scholarly communications datasets. This thesis makes three major contributions. First, new IE tasks based on DSTD representation of the data are introduced. For scholarly communication data, methods are developed to identify article and author level novelty [Mishra and Torvik, 2016] and expertise. Furthermore, interfaces for examining the extracted information are introduced. A social communication temporal graph (SCTG) is introduced for comparing different communication data like tweets tagged with sentiment, tweets about a search query, and Facebook group posts. For social media, new text classification categories are introduced, with the aim of identifying enthusiastic and supportive users, via their tweets. Additionally, the correlation between sentiment classes and Twitter meta-data in public corpora is analyzed, leading to the development of a better model for sentiment classification [Mishra and Diesner, 2018]. Second, methods are introduced for extracting information from social media and scholarly data. For scholarly data, a semi-automatic method is introduced for the construction of a large-scale taxonomy of computer science concepts. The method relies on the Wikipedia category tree. The constructed taxonomy is used for identifying key computer science phrases in scholarly papers, and tracking their evolution over time. Similarly, for social media data, machine learning models based on human-in-the-loop learning [Mishra et al., 2015], semi-supervised learning [Mishra and Diesner, 2016], and multi-task learning [Mishra, 2019] are introduced for identifying sentiment, named entities, part of speech tags, phrase chunks, and super-sense tags. The machine learning models are developed with a focus on leveraging all available data. The multi-task models presented here result in competitive performance against other methods, for most of the tasks, while reducing inference time computational costs. Finally, this thesis has resulted in the creation of multiple open source tools and public data sets (see URL below), which can be utilized by the research community. The thesis aims to act as a bridge between research questions and techniques used in DSTD from different domains. The methods and tools presented here can help advance work in the areas of social media and scholarly data analysis.

scholarly journals Presenter: Werner Paulus, University Hospital Muenster, Muenster. Publishing A High-quality, Non-commercial Neuropathology Journal Without a Publisher: The First Nine Months

2021 ◽  
Vol 48 (s2) ◽  
pp. S11-S11
Author(s):  
Marta Margeta ◽  
Peter Gould ◽  
Lili-Naz Hazrati ◽  
Veronica Hirsch-Reinshagen ◽  
Werner Paulus
Keyword(s):  
Open Access ◽  
Driving Forces ◽  
Scholarly Communication ◽  
University Hospital ◽  
Website Design ◽  
Final Decision ◽  
List Type ◽  
Ethical Challenges ◽  
High Quality ◽  
Commercial Publishing

Scholarly communication faces increasing economical and ethical challenges, including pricing policies and overbearing behavior of commercial publishing houses. Based on the hypothesis that a diamond open access neuropathology journal of a high scientific and technical quality can be run entirely by neuropathologists, we launched Free Neuropathology (FNP; freeneuropathology.org) in January 2020. Classical publisher activities, such as copyediting, layout, website maintenance, and journal promotion, are undertaken by neuropathologists and neuroscientists using free open access software. The journal is free for both readers and authors, and papers are published under a Creative Commons BY SA licence, where copyright remains with the authors. Based on 26 articles published by August 2020, it takes FNP 11.1 days from submission to first, and 19.9 days to final, decision. High-quality copyediting, layout, and online publishing in the final format is accomplished in only 8 days. Absence of a commercial publisher enables prioritization of democratic and scientifically-driven decisions on editorial structure, website design, journal promotion, paper formatting, special article series, and number of accepted papers. This new model of journal publishing, which returns the control of scholarly communication to scientists, will be of interest to neuropathologists and wider scientific community alike.Learning ObjectivesSummarize the current state and driving forces behind commercial and non-commercial scientific publishing in neuropathology.Describe the advantages and challenges of a non-commercial publishing platform for neuropathology.

scholarly journals Preprints in Chemistry: An Exploratory Analysis of Differences with Journal Articles

Publications ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 5
Author(s):  
Mario Pagliaro
Keyword(s):  
Doctoral Students ◽  
Scholarly Communication ◽  
Digital Age ◽  
Open Science ◽  
Exploratory Analysis ◽  
Journal Articles ◽  
Basic Sciences ◽  
Wealth Of Nations ◽  
New Education ◽  
Young Researchers

The exploratory analysis of the differences between preprints and the corresponding peer reviewed journal articles for ten studies first published on ChemRxiv and on Preprints, though statistically non-significant, suggests outcomes of relevance for chemistry researchers and educators. The full transition to open science requires new education of doctoral students and young researchers on scholarly communication in the digital age. The preliminary findings of this study will contribute to inform the curriculum of the aforementioned new courses for young chemists, eventually promoting accelerated innovation in a science that, unique amid all basic sciences, originates a huge industry central to the wealth of nations.

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