bluuebunny/crossref_metadata_2025_split huggingface dataset:
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning
Authors: Zhao Xintong , Lopez Steven , Saikin Semion , Hu Xiaohua , Greenberg Jane 
Published: October 2021

AbstractScientific literature is one of the most significant resources for sharing knowledge. Researchers turn to scientific literature as a first step in designing an experiment. Given the extensive and growing volume of literature, the common approach of reading and manually extracting knowledge is too time consuming, creating a bottleneck in the research cycle. This challenge spans nearly every scientific domain. For the materials science, experimental data distributed across millions of publications are extremely helpful for predicting materials properties and the design of novel materials. However, only recently researchers have explored computational approaches for knowledge extraction primarily for inorganic materials. This study aims to explore knowledge extraction for organic materials. We built a research dataset composed of 855 annotated and 708,376 unannotated sentences drawn from 92,667 abstracts. We used named‐entity‐recognition (NER) with BiLSTM‐CNN‐CRF deep learning model to automatically extract key knowledge from literature. Early‐phase results show a high potential for automated knowledge extraction. The paper presents our findings and a framework for supervised knowledge extraction that can be adapted to other scientific domains.
Measurement of Interdisciplinarity: Quantifying Distance‐Based Disparity Using Node2vec
Authors: Zhou Hongyu , Guns Raf , Engels Tim C. E. 
Published: October 2021

AbstractWhen quantifying the level of interdisciplinarity for scientific research, most established indicators employ a three‐element diversity framework, namely variety, balance, and disparity, each of which captures a distinct but insufficient element. Among three, disparity, i.e. how different (dissimilar) the categories within a system are, is the most challenging one due to its calculation cost and conceptual ambiguity. The discriminative power for disparity is found to be weakened in more fine‐grained science classification schemes. To address this issue, this paper proposes a new method for quantifying disparity by applying Node2vec on the discipline citation network and retrieving distance between disciplines using embeddings vectors. Compared to cosine‐based dissimilarity for disparity, our proposed method exhibited broader distribution and less skewness for disparity values, which could potentially lead to higher discriminative power of interdisciplinarity. A case study for Linguistics is also conducted to show the capability of detecting variations in disparity of the proposed method.
Career Development in Knowledge Management
Authors: Allen Jeff , An Lu , Hofman Darra , Islam Anwarul , Pfeiffer Heather D. 
Published: October 2021

AbstractThis is a SIG‐KM sponsored panel presented by members of the SIG‐KM officer team. First, the panel will overview their experience in knowledge management (KM) as scholars and scholar‐practitioners. They will briefly discuss their career development successes and hurdles as a roadmap for others to follow. Second, the panel will discuss career pathways for KM scholars and scholar‐practitioners in a global knowledge economy. Finally, they will hold an open discussion with audience members to share their experiences, expectations and hopes for the KM and the broader field of information science. [90 minute session].
Expanding Our Conceptions of Embodied and Affective Information Interactions with Queer Theory
Authors: Floegel Diana , Wagner Travis L. , Delmonaco Daniel , Watson B. M. 
Published: October 2021

AbstractEmbodiment and affect are understudied in information science work to date. Literature that engages with embodied information interactions typically focuses on physical bodies, while work on affect largely centers people's emotional experiences in formal knowledge institutions like libraries. Room therefore exists to grow in our understanding of embodiment and affect, particularly in terms of theorizing how bodies and feelings factor into a wide range of information experiences from non‐dominant standpoints. This panel centers queer experiences and queer theory in order to expand conceptions of and connections between embodied and affective dimensions of information interactions. Panelists will present a range of research that examines queer people's practices and experiences with information in historical, archival, creative, and health‐related domains. Bodies and emotions are essential components of critical queer theoretical perspectives, meaning that scholarship which centers queerness and its intersections with constructs like race has great potential to expand many branches of information science further beyond their normative bents. In concert, topics discussed should spark conversation among attendees about the theoretical and practical benefits of deeply studying embodiment and affect and further utilizing critical theory in multiple domains within the information science discipline.
Community Resilience Through Diversity
Authors: Fulton Crystal , Huvila Isto , Pestana Olívia Manuela Marques , Tammaro Anna Maria , Liu Ying‐Hsang , Akça Sümeyye 
Published: October 2021

AbstractThe COVID‐19 pandemic has brought about a pivot in people's practice of their daily life and work, in particular a pivot towards virtual living and working. Sponsored by the ASIS&T European Chapter, this panel discusses the diverse ways in which this has affected different communities within Europe, bearing in mind the varying languages, economic and political situations, and library and information structures within different European countries. Following on from presentations giving diverse perspectives from five European countries, we will ask session participants to reflect on the impact of the pivot on living and working in their own context, their coping mechanisms, and likely impact on the future.
Social Media, Vaccines, and Partisan Division of Health Information
Authors: Hagen Loni , Greyson Devon , Fox Ashley , Koltai Kolina , Dumas Catherine 
Published: October 2021

AbstractVaccine confidence and uptake is essential to achieving herd immunity levels sufficient to end the COVID‐19 pandemic; however, polarized and partisan discussion on vaccines have increased the difficulty of achieving sufficient vaccine coverage in the population. As individual's health information seeking behaviors diversify, studies suggest that social media is a major “battle ground” for shaping attitudes toward vaccines. Interdisciplinary experts on vaccine discourse will discuss the information context of the vaccine debate, political influence, and attitudes towards science and vaccines against the backdrop of social media. This panel is expected to contribute to the field of information science by invoking a conversation on social media, an important information communication technology, as a field of study that inter‐connects the most current vaccine conversation with theories of partisan behavior of health information and affordance of technology. This panel is sponsored by SIG SM.
History and Heritage Update
Authors: Hall Deanna Morrow , Buckland Michael K. , Duguid Paul 
Published: October 2021

AbstractMajor new developments in the history and heritage of ASIS&T and of information science generally are presented. First, the progress of the ASIS&T Curator's Working Group's strategic plan for ASIST's knowledge management and for stewardship of its heritage resources will be presented by Deanna Hall, the ASIS&T Curator. Second, the ambitious program of the ASIS&T History Committee to encourage attention to historical work by promoting open access to past publications and the creation of guides to resources will be reported by the Committee chair, Michael Buckland. Third, the emergence of extensive humanities research on information history, newly summarized in new encyclopedic collection Information: A historical companion (2021), will be introduced and characterized by Paul Duguid, a contributor and co‐editor.
Welcome to Information Science Sponsored by SIG‐HFIS
Authors: Hartel Jenna , Bates Marcia J. , Bhattarai Vishma , Gray LaVerne , Keilty Patrick 
Published: October 2021

AbstractThis panel engages conference attendees in the history and foundations of information science and provides an opportunity to reflect upon our field's current and future identity(s). It enacts the following scenario: At an orientation event for an information science program a spokesperson gives incoming students a brief address on the theme, “Welcome to information science.” Six imaginative but authentic versions of that talk are offered here. To showcase the variety of approaches to information science across the past century, each disquisition is inspired by the work of one luminary, namely: Paul Otlet, S. R. Ranganathan, Jesse H. Shera, Elfreda Chatman, and Marcia J. Bates. In an effort to encourage a more spacious information science, an indigenous perspective on ways of knowing is also included. Attendees to this session will time‐travel across almost 100 years of information science history and ultimately rest in the reality of a multi‐perspective discipline.
Documenting Information Processes and Practices: Paradata, Provenance Metadata, Life‐Cycles and Pipelines
Authors: Huvila Isto , Greenberg Jane , Sköld Olle , Thomer Andrea , Trace Ciaran , Zhao Xintong 
Published: October 2021

AbstractProcesses and practices—and in general, informational doings and their diverse constellations—are pertinent elements of the information landscape. This panel presents research on documentation and description of processes and practices in the information field addressing: 1) how different conceptualisations of processes and practices influence how they emerge as describable entities; 2) what different approaches to document and describe processes and practices exist and have been proposed in information science and technology research; 3) what aspects of processes and practices different documentation approaches capture, make visible and invisible; and 4) what novel insights from the current state‐of‐the‐art research can be drawn to support practitioners in different areas of the information field, including knowledge organisation, information management, information literacy instruction, and development of information systems and services.
Data Discovery and Reuse in Data Service Practices: A Global Perspective
Authors: Liu Ying‐Hsang , Chen Hsin‐Liang (Oliver) , Kato Makoto P. , Wu Mingfang , Gregory Kathleen 
Published: October 2021

AbstractThe proposed panel will address the issues of the discovery and reuse of publicly available data on the web in the context of data service practices from a global perspective. Thousands of data discovery services have appeared around the world since the promotion of “open science”, reproducible research, and the FAIR (Findable, Accessible, Interoperable and Reusable) data principles in the research sector. However, there is also increasing demand for transparency of search algorithms, and in the design, development, evaluation, and deployment of current data search services; this requires a better understanding of how users approach data discovery and interact with data in search settings. From a global perspective, we will identify and discuss the specific system design issues in data discovery and reuse, drawing on our organization of the NTCIR (NII Testbeds and Community for Information access Research) project of Data Search track, the design and evaluation of the data discovery service of the Australian Research Data Commons (ARDC), and studies examining researchers' practices of data discovery and reuse.
Updates to Information Standards and Standardization Efforts
Authors: Needleman Mark , Hlava Marjorie , Zeng Marcia Lei , Dickey Timothy 
Published: October 2021

AbstractThis panel, sponsored by the ASIS&T Standards Committee, has two purposes. First, the panel reports the most recent activities of the national and international standards in the field of information science and technologies in which the ASIS&T Standards Committee and members have been involved. Second, the panel will focus on a number of significant standardization efforts, their important roles, and the challenges in dealing with semantic conflicts while addressing inclusion and relevance to ensure non‐bias in information representation and the FAIRness of data. Those efforts have led to the globally adopted standard systems, vocabularies, and schemas, which will be introduced by this panel.
Information Injustice and Intellectual Freedom: Polarizing Concepts for a Polarizing Time
Authors: Oltmann Shannon M. , Ndumu Ana , Knox Emily J.M. , Burgess John T.F. 
Published: October 2021

AbstractHistorically, information professionals have advocated for intellectual freedom, specifically the rights to free speech and expression. The unrestricted flow of information has been foundational to library and information science practice. Yet, free speech at times is protected to the detriment of vulnerable communities. In this panel discussion, four library and information science researchers discuss the scholarly and pragmatic tensions surrounding LIS ethics and anti‐hegemony. Using Chatman's (1996) concept of information poverty and Gibson and Martin's (2019) theory of information marginalization as discursive guides, the panelists will describe how they negotiate ethical principles, information justice, LIS professionalization, and social inclusion.
At the Margins of Epistemology: Amplifying Alternative Ways of Knowing in Library and Information Science
Authors: Patin Beth , Oliphant Tami , Allard Danielle , Gray LaVerne , Clarke Rachel Ivy , Tacheva Jasmina , Lar‐Son Kayla 
Published: October 2021

AbstractThis panel argues a paradigm shift is needed in library and information science (LIS) to move the field toward information equity, inclusion, relevance, diversity, and justice. LIS has undermined knowledge systems falling outside of Western traditions. While the foundations of LIS are based on epistemological concerns, the field has neglected to treat people as epistemic agents who are embedded in cultures, social relations and identities, and knowledge systems that inform and shape their interactions with data, information, and knowledge as well as our perceptions of each other as knowers. To achieve this shift we examine epistemicide—the killing, silencing, annihilation, or devaluing of a knowledge system, epistemic injustice and a critique of the user‐centered paradigm. We present alternative epistemologies for LIS: critical consciousness, Black feminism, and design epistemology and discuss these in practice: community generated knowledges as sites of resistance and Indigenous data sovereignty and the “right to know”.
Conducting and Publishing Research in Developing Countries: Challenges and Solutions
Authors: Potnis Devendra , Gala Bhakti , Lwoga Edda Tandi , Islam Anwarul , Warraich Nosheen , Keah Humphrey , Rorissa Abebe 
Published: October 2021

AbstractMost of the knowledge in the library and information science (LIS) discipline is created and published by researchers in developed countries. Two roundtable sessions of ASIS&T SIG‐III with the ASIS&T Africa Chapter and ASIS&T South Asia Chapter, in early 2021, confirmed “the lack of a conducive research environment” as the primary reason for this inequality in the discipline and called for systematic efforts, like this panel, to (a) create awareness about this inequality and (b) start building a global support system for LIS researchers in developing countries. In the first 30 minutes of this panel, six LIS scholars with cultural roots, academic training, and research experience in developing countries will illustrate common challenges to conducting and publishing research in developing countries. In the next 30 minutes, attendees will be divided into groups, with each group facilitated by a panelist, to brainstorm solutions for addressing the challenges related to academic training for conducting and publishing research, accessing resources, institutional support, opportunities for research collaboration and funding, fieldwork, analyzing data, composing manuscripts, and finding mentors, among others. In the last 30 minutes, each group will present its findings.
Collaborative Efforts and Success Story of an Open‐Learning Program: Partnership Growth of the Research Data Management Librarian Academy (RDMLA)
Authors: Tang Rong , Boyd Ceilyn , Creamer Andrew , Kriesberg Adam , Martin Elaine , Morin Rebecca 
Published: October 2021

AbstractLaunched in October 2019, the Research Data Management Librarian Academy (RDMLA) addresses the learning gaps in RDM training. Through a unique partnership among practicing librarians, LIS faculty, and industry, the RDMLA has produced a dynamic open learning experience, highlighting the benefits of collaboration and skill‐sharing. This collaboration's success lies in how the project leveraged each partner's strengths and experience while centering on the shared purpose, dedication to equitable learning, and mutual respect among the team members. This panel focuses on the collaborative efforts undertaken by the RDMLA leadership and instructors to develop an open‐access professional development education program. Five panelists will share their experience working on this large collaborative project from varying perspectives, the lessons learned while developing their content, the challenges they encountered, and their understanding of the benefits of such a collaborative endeavor in producing free, open‐access learning to foster a community of practice in RDM.
Motivation, Building Relationships, and the Role of Belonging in Distance Learning
Authors: Williams Rachel , Pollock Danielle , Mainka Agnes , Brinkmeier Michael , Ossovski Elisaweta 
Published: October 2021

AbstractThis SIG‐ED panel addresses the role of belonging in distance learning in a variety of learning contexts, including typical online courses as well as in independent studies and other mentoring contexts. The panel explores the impact of belonging on student success and considers how instructors' choices in course design, technology use, mentoring, and other aspects of distance learning can enhance or detract from fostering a sense of belonging.
Conceptualizing Relevance of Information as a Social Justice Issue: An Interactive Panel Discussion
Authors: Winberry Joseph , Gray LaVerne , Hardy Jean , Jaber Baheya , Mehra Bharat 
Published: October 2021

AbstractRelevance is a notion whose meaning and purpose have been widely discussed in information retrieval research. The ultimate aim of relevance—what Tefko Saracevic has called the “you know” principle—is to ensure that users have the information necessary to meet their goals. What is often missing from this discussion is a critical assessment of who gets to decide what information is relevant, under what circumstances, and for what purposes—especially in relation to marginalized populations. The limited discussion of social justice in information relevance research is a gap this interactive panel discussion seeks to address. Five emerging, junior, and senior researchers will each identify and outline social justice themes of information relevance (e.g., intersectionality, Black feminist lens, geography, immigration status, and holistic critical relevance) that have been evident in their own scholarship. Audience members will have an opportunity to expand on one of the five themes in concert with a panelist before participants consider together future directions for relevance of information in a social justice context. While each participant may have different definitions of social justice, a broad interpretation of the term will frame the conversation by indicating how information relevance can move society towards a fairer and more equitable future.
A Bibliometric Analysis of the Annual Meeting Proceedings of the Association for Information Science and Technology
Authors: Agarwal Naresh Kumar , Islam Md Anwarul 
Published: October 2021

AbstractIn this study, we analyzed two decades of the proceedings of the Association for Information Science & Technology (ASIS&T) to uncover bibliometric patterns. We found 3,129 publications from 2000–2020, with more than three‐quarters jointly authored. Most authors are from U.S., Canada, and China. Social media and information behavior are the top‐researched areas. The top‐cited journals are the Journal of the Association for Information Science & Technology, Information Processing and Management, and Library and Information Science Research. The findings affirm ASIS&T's move to an international association and point to the growing importance of collaborative work and social media. The study fills the gap in the analysis of ASIS&T conference proceedings and will help information professionals understand patterns in recent research. This should help guide them in their future research directions.
Management Software for Monitoring Related Versions of Cultural Heritage Artifacts for Libraries and Museums
Authors: Athreya Anousha , Taswell S. Koby , Taswell Carl 
Published: October 2021

AbstractIn cultural object conservation, tracking provenance has served as the foundational method of managing information for historical artifacts. To find data points, archivists identify related versions of an artifact at various time points. In this paper, we discuss four categories with versioned examples to display the importance of data points for identifying patterns over time through events in history, cultural heritage, performing arts, and fine arts. We describe our use of the Ashurbanipal diristry to document scholarly research regarding library tools and technologies for the preservation of cultural objects as well as the implementation of PORTAL‐DOORS Project (PDP) utilities for tracing provenance and distribution of cultural objects and interoperability with bibliographic formats such as BIBFRAME and MARC from existing archival methods.
Actionable Approaches to Promote Ethical AI in Libraries
Authors: Bubinger Helen , Dinneen Jesse David 
Published: October 2021

ABSTRACTThe widespread use of artificial intelligence (AI) in many domains has revealed numerous ethical issues from data and design to deployment. In response, countless broad principles and guidelines for ethical AI have been published, and following those, specific approaches have been proposed for how to encourage ethical outcomes of AI. Meanwhile, library and information services too are seeing an increase in the use of AI‐powered and machine learning‐powered information systems, but no practical guidance currently exists for libraries to plan for, evaluate, or audit the ethics of intended or deployed AI. We therefore report on several promising approaches for promoting ethical AI that can be adapted from other contexts to AI‐powered information services and in different stages of the software lifecycle.
Systematic Comparison of Data Models used in Mapping Knowledge Organization Systems
Authors: Cheng Yi‐Yun 
Published: October 2021

AbstractThis study explores six projects in mapping Knowledge Organization Systems (schemas, taxonomies, ontologies), and examines the data models used in these projects. We discuss (1) the two most common data models presented in these projects, namely tabular model, and tree model; (2) the implicit and explicit information shown in the data models; and (3) the information gains and losses of each model. We found that though the tree model maintains the hierarchical structure of the KOS while a tabular model flattens out the structure, both models can potentially obscure the information of the original KOS. This makes it problematic if we want to reconstruct a mapping project based on the outcomes manifested in either model. Our findings contribute to the Knowledge Organization literature by showing how choices of data models can impact the results in mapping schemas, taxonomies, and ontologies.