bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning to discover: Youth information literacy in the “i” digital age
Authors: Bilal Dania , Erdelez Sanda , Beheshti Jamshid , Todd Ross J. 
Published: January 2013

AbstractToday's digital information environment is rich with varied types of information that is available anytime, anywhere at a user's fingertips. While children and young adults constitute a high percent of the online population worldwide and are being characterized as “savvy,” or “born digital,” there is a need to examine how what has been considered a “distraction” in using the web can be transformed into valuable information that these young users are enable to capture and use at a later time. Existing models of information behavior in traditional environments may allow us to predict certain aspects of young users' information seeking. However, most of these models do not account for information discovery or information encountering that occurs throughout the information seeking process. In this panel, researchers will discuss the changing nature of teaching, learning, and capturing young users' information behaviors in the “I” digital environment. They will propose ways for developing holistic understanding of young users' information behavior processes that encapsulate information discovery and digital inquiry.
Least information document representation for automated text classification
Authors: Ke Weimao 
Published: January 2013

AbstractWe propose the Least Information theory (LIT) to quantify meaning of information in probability distributions and derive a new document representation model for text classification. By extending Shannon entropy to accommodate a non‐linear relation between information and uncertainty, LIT offers an information‐centric approach to weight terms based on probability distributions in documents vs. in the collection. We develop two term weight quantities in the document classification context: 1) LI Binary (LIB) which quantifies (least) information due to the observation of a term's (binary) occurrence in a document; and 2) LI Frequency (LIF) which measures information for the observation of a randomly picked term from the document. Both quantities are computed given term distributions in the document collection as prior knowledge and can be used separately or combined to represent documents for text classification. We conduct classification experiments on three benchmark collections, in which the proposed methods show strong performances compared to classic TF*IDF. Particularly, the LIB*LIF weighting scheme, which combines LIB and LIF, outperforms TF*IDF in several experimental settings. Despite its similarity to TF*IDF, the formulation of LIB*LIF is very different and offers a new way of thinking for modeling information processes beyond classification.
Searching vs. writing: Factors affecting information use task performance
Authors: Liu Jingjing , Belkin Nicholas J. 
Published: January 2013

AbstractSearching for information is often driven by some work tasks that involve information use and require certain types of outcomes other than finding information. To explore how search systems can help with work tasks calls for examining factors that influence work task performance. A 3‐stage controlled lab experiment was conducted with 24 participants, each coming 3 times to work on 3 sub‐tasks of a general task, couched either as “parallel” or “dependent” task type. The full task was to write a report on the general topic, with interim documents produced for each sub‐task. Results show that task type and task session did not affect users' task performance, but users' topic familiarity and task experience did. Users' effectiveness in finding useful pages and their time allocated to writing correlated with task performance, so did their reflected perceptions of task experience. Further, users' topic familiarity could lead to a higher writing efficiency, and task experience could lead to higher searching efficiency and effectiveness. These findings help understand factors affecting information use task performance, and have implications on search system design to support information related work task accomplishment.
Analysis of government environmental agency web pages for Colony Collapse Disorder information
Authors: Boehm Meredith K. , Singh Vandana 
Published: January 2013

AbstractThis paper presents the results from a study identifying government entities that provide information about Colony Collapse Disorder (CCD) in order to discover what information is available from the entities' web pages and evaluate the quality of the information provided as it pertains to a defined spectrum of citizen information seekers. Using a government information valuation framework that takes into account these citizen user needs, this paper looks at the information content within the context of the public sphere and applies the lens of post‐normal science theory to analyze the current status of information from these entities. Overall the research shows that citizen user groups are in need of public engagement applications to facilitate a two‐way flow of information.
Information, interaction and innovation in consumer health: New directions at the intersection of information science and informatics: Interaction track ∼ sponsored by SIG‐HEALTH
Authors: Veinot Tiffany , Souden Maria 
Published: January 2013

AbstractLongstanding approaches to health and health care are failing us: costs have skyrocketed while care quality remains highly uneven; the majority of health care in North America takes place in homes and communities rather than hospitals and doctor's offices; and institutionalized health care often does little to support people psychosocially or prevent people from becoming ill in the first place. Enthusiasm for the potential of consumer participation in health and health care has found advocates among health systems and insurers keen to reduce costs and patient organizations agitating for improved recognition and care. Alongside these trends, we find an increased focus on consumer health in the disciplines of information science and informatics. Health information science studies examine information behavior, information policy, terminology and information retrieval systems. Health informaticians focus on the design and evaluation of consumer‐facing technologies such as personal health records and health behavior tracking systems. Scholars in both fields pursue research concerning social media, including online patient communities. However, despite the growing momentum of scholarly activity in both fields, as well as their topical overlap, the fields remain largely separate, with differing research traditions and scholarly communities. In this panel, we find synergy and common ground between the two fields through an exploration of the conference themes of information, interaction and innovation. In a lightning talk format, eight panelists representing diverse research areas will share their perspectives upon key insights that each field can bring to the other. Building on the arguments presented, panelists and the audience will reflect on the state of consumer health research, and brainstorm regarding future scholarly directions that will leverage the strengths of both fields.
New directions for 21st Century digital collections
Authors: Abreu Amelia , Acker Amelia , Hank Carolyn 
Published: January 2013

AbstractAcross disciplines, new types of digital collections are changing the way we access and preserve information. While scholars, data curators, librarians, archivists, and preservationists all approach digital collections in their work, key questions remain as to how to conceptualize and collaborate in our efforts. This event gathers scholars and practitioners from libraries, archives, data curation and digital humanities to discuss the challenges of 21st Century digital collections.
Humanistic information science
Authors: Feinberg Melanie , Jens‐Erik Mai , Jonathan Furner , Tennis Joseph 
Published: January 2013

AbstractThe panel presents approaches to information science that are grounded in humanities, and argues that the field could be richer if it embraces humanistic approaches to information science. While the field has broadened and changed significantly since ASIST was founded 75 years ago, it is suggested that information science continues to be committed to objectivistic understandings of what is most properly involved in social scientific inquiry. The panelists will present understandings of information science as the field concerned with the fundamental relation between people and reality, and with the culturally‐specific roles that information plays in the practices that constitute this relation. The panelists will present a range of scholarly research topics in humanistic information science that will be used as the springboard for interactions with the audience about the future of a humanistic information science.
The origins of SIG‐III and its 30 years' journey: Visions and reflections
Authors: Alemneh Daniel Gelaw , Carbo Toni , Caidi Nadia , Gruzd Anatoliy , Rorissa Abebe 
Published: January 2013

AbstractIn this panel we will discuss the origins of the Special Interest Group for International Information Issues (SIG‐III) of the American Society for Information Science & Technology (ASIS&T) and its early years. In addition to the reflections of the last 30 years, Toni Carbo (one of the co‐founders of SIG‐III), Nadia Caidi (SIG‐III Advisory board member), Anatoliy Gruzd (Social Media Administrator), Daniel Alemneh (SIG‐III Chair), and Abebe Rorissa (SIG‐III Chair‐elect) look forward and discuss the future of the SIG‐III including strategies to facilitate collaborations and information exchanges globally.
Emerging trends in metadata research
Authors: Moulaison Heather Lea , Rathbun‐Grubb Susan , Abbas June , Greenberg Jane , La Barre Kathryn , Rodríguez Eva Méndez , Mitchell Erik , Šauper Alenka 
Published: January 2013

AbstractMetadata can be used in a variety of environments, from library catalogs and research databases to data archives, proprietary knowledge bases, and the open web. Multiple sources for metadata creation exist, with metadata being generated by professionals, through automated techniques, and by the public at large. Information professionals are eager to share and leverage data sources to create new knowledge and feed the demand for new interoperable applications. There is great potential for improving discovery by weaving together traditional library metadata with social cataloging metadata to create a new scheme for representing information in library catalogs, institutional repositories, or digital libraries. Each of the researchers on this panel represents a unique perspective on the ways in which metadata research is unfolding and will continue to progress over the next few years. Drs. Erik Mitchell, Jane Greenberg, Eva Méndez Rodríguez, June Abbas, Alenka Šauperl, and Kathryn La Barre will discuss their current research streams, speaking to the above issues via an exemplary project they have chosen to describe. Interactivity between the panelists and among the audience members will be encouraged after the panelists have presented their projects for discussion.
Social curation on the website Pinterest.com
Authors: Hall Catherine , Zarro Michael 
Published: January 2013

AbstractIn this paper we look at the popular social curation website, Pinterest.com and describe some of the user actions taking place within the context of the site. Using Pinterest's API we collected a dataset of over 290,000 pins (images and corresponding metadata) during a month‐long period between February and March 2012. From this dataset, a random sample of 1000 pins was selected for analysis. We found that Pinterest users pin content in a wide variety of subject areas with the most frequently observed categories being Food & Drink, Home & Garden Décor and Design, and Apparel & Accessories. Turning towards source type, we found that pins are most likely to come from blogs, which account for 45% of our sample pins.Pinterest users can ‘like’, ‘repin’ and comment on the content pinned by others. Repinning, in which a user can categorize an image onto one of their own boards, is the most frequently observed behavior. User comments, which have been observed in the literature to offer valuable sources of potential metadata, are plentiful on Pinterest. We collected 510 user comments from a random sample of 40 pins and found that four of the six types of comments described by van Hooland, Rodriguez and Boydens (2011) were present in our sample: sharing opinion & judgment, engaging in dialog, sharing a personal history with the image, and providing additional narrative details. We suggest that Pinterest represents a sharing and curating experience that offers insight into information use, reuse and creation on the social web.
The effect of task roles on the perceived usability of management tools
Authors: Xiao Lu , Quan‐Haase Anabel 
Published: January 2013

AbstractWe investigate how demands of a task create differing task roles with distinct levels of information uncertainty, information and cognitive load, and social responsibility. Pairs solved a standard matching game using tangrams under three different instant messaging (IM) tool conditions. We show that a participant's use and evaluation of the IM tool are largely based on their assigned task roles. The findings inform the testing and evaluation of future collaborative systems and visualization tools by demonstrating the relevance of task roles in the use and utility of these systems and tools.
Geovisualization of bibliographic data using ArcGIS
Authors: Hubbard David E. , Drews Patricia L. 
Published: January 2013

AbstractThis study examined the geographic aspects of literature involving the visualization of bibliographic data published by authors residing in the contiguous United States. ArcGIS was used to visualize networks of cited‐citing publications and co‐authors for 102 publications based on first author institutional affiliation. Spatial statistics and other tools within ArcGIS were used to explore the clustering of research activity and test the “death of distance” hypothesis among co‐authors. Both the “producers” and “consumers” of the scholarly output were found to be clustered. Visual inspection of the thematic maps found research activity concentrated in the following cities: Bloomington, IN, Philadelphia, PA, Sandia, NM, Stillwater, OK, and Tucson, AZ. Over half of the co‐authorship (60%) occurred among authors within the same ZIP code. The cited‐citing publication network and co‐author network maps shared a characteristic pattern indicating that many producers and consumers also co‐authored with each other. While the number of co‐authored publications in the field of visualization of bibliographic data increased from 1995–2009, the average co‐author distance remained unchanged over that period.
Identifying factors of online news comments
Authors: Chen Hsin‐liang 
Published: January 2013

AbstractThe purpose of this project was to identify the factors which should be studied based on the available components of the online comments and using available data analysis tools. The factors were the geographic locations, the number of readers' recommendations as a sentimental indicator, and top phrases of the comments. The selected news story was the execution of Troy Davis reported by The New York Times on September 21, 2011 (Severson, 2011). Troy Davis, an African American, was convicted of murdering an off‐duty police officer in Savannah, Georgia in 1989. The U.S. Supreme Court rejected the appeal despite worldwide opposition to Davis's death sentence. This story was selected due to the significant international level of attention it received, and the topic of “death penalty.” There were 1527 comments collected on December 22, 2011, 60 days after the story was published online. The comments were classified into 2‐tier geographic categories based on the 4 regions and 9 divisions defined by the U.S. Census Bureau. The preliminary results indicated that the geographic locations, the number of readers' recommendations as a sentimental indicator, and top phrases of the comments were appropriate research factors for studying online news comments.
Monitoring knowledge flow through scholarly networks
Authors: Yan Erjia , Ding Ying , Kong Xiangnan 
Published: January 2013

AbstractThe production and creation of knowledge is not dependent on any individual and isolated entity; instead, knowledge is diffused, exchanged, and circulated among various entities. To study the knowledge flow and transfer within and across different disciplines can help us better understand science and scientific collaboration. This paper presents a methodological framework to study knowledge flow, including a knowledge hierarchy, the construction of knowledge flow network, and indicators that can be used to measure disciplinarities.
License analysis on e‐journal perpetual access of library
Authors: Zhang Mei , Eschenfelder Kristin 
Published: January 2013

AbstractThis poster presents preliminary findings of a content analysis of 72 e‐journal licenses in terms of perpetual access clauses. This study explored whether perpetual access clauses varied among commercial publishers, society publishers and university presses, whether clauses changed over time, and whether differences existed between consortia and site licenses. Findings showed that the licenses from commercial publisher were more likely to provide perpetual access than licenses from other two types of publishers. We observed an increasing trend in providing perpetual access over time. Consortia licenses were more likely to depend on third‐party to obtain perpetual access than site licenses. This study can be helpful for libraries to understand the institutionalization of perpetual access clause in e‐journal licenses.
Enhancing cultural heritage collections by supporting and analyzing participation in Flickr
Authors: Jett Jacob , Senseney Megan , Palmer Carole L. 
Published: January 2013

AbstractCultural heritage institutions can enhance their collections by sharing content through popular web services. Drawing on current analyses from the Flickr Feasibility Study, we report on the pronounced increase in use of the IMLS DCC Flickr Photostream in the past year, trends in how users are engaging with the content, and data provider perspectives on participation in Flickr through the DCC. In addition to users providing comments and tags for images, they are increasingly integrating historical images from libraries and museums into new digital objects and special collections. Intermediary services can fill a key role in lowering the burden for institutions to engage in Web 2.0 initiatives and broadening public access to cultural heritage content. To extend the scope of the current DCC services, we propose a feedback framework for transferring user‐generated information to institutional data providers.
Visualizing linked Jazz: A web‐based tool for social network analysis and exploration
Authors: Miller Matthew , Walloch Jeff , Pattuelli M. Cristina 
Published: January 2013

AbstractThis paper intends to demonstrate that recent improvements in web‐based technology have made the creation of web‐based network visualizations a viable and appealing possibility. We showcase a network visualization tool made for the Linked Jazz Project which utilizes a number of interactive and multimedia features to deliver an engaging experience to a wide audience. We briefly explore the history, benefits, and possible limitations of this web‐based approach.
Developing a typology of online Q&A models and recommending the right model for each question type
Authors: Choi Erik , Kitzie Vanessa , Shah Chirag 
Published: January 2013

AbstractAlthough online Q&A services have increased in popularity, the field lacks a comprehensive typology to classify different kinds of services into model types. This poster categorizes online Q&A services into four model types – community‐based, collaborative, expert‐based, and social. Drawing such a distinction between online Q&A models provides an overview for how these different types of online Q&A models differ from each other and suggests implications for mitigating weaknesses and bolstering strengths of each model based on the types of questions that are addressed within each. To demonstrate differences among these models an appropriate service was selected for each of them. Then, 500 questions were collected and analyzed for each of these services to classify question types into four categories – information‐seeking, advice‐seeking, opinion‐seeking, and non‐information seeking. The findings suggest that information‐seeking questions appear to be more suitable in either a collaborative Q&A environment or an expert‐based Q&A environment, while opinion‐seeking questions are more common in community‐based Q&A. Social Q&A, on the other hand, provides an active forum for either seeking personal advice or seeking non‐information related to either self‐expression or self‐promotion.
Using data profiles to select digital asset management systems (DAMS)
Authors: Zilinski Lisa D. , Lorenz Sonia W. 
Published: January 2013

AbstractMany grants, including grants from the National Science Foundation (NSF) require recipients to utilize data management plans; some grants, like those given by NSF, require recipients to place their data in searchable data repositories. It is difficult to find one data repository that meets every researcher's needs. To solve this problem, we utilized Purdue's Data Curation Profile Toolkit to interview researchers at our university and assist in developing data profiles/plans. These profiles provided the Digital Asset Management (DAM) project team with valuable information about the researchers' data needs. The DAM project team created a matrix of the researchers' data needs and used the matrix to evaluate the credentials of 24 Digital Asset Management Systems (DAMS). The team was able to select the DAMS that met the needs of researchers. Using this method, any university could select a DAMS and be confident that it would meet the needs of the researchers it was intended to serve.
Identifier schemas and research data
Authors: Lee Dong Joon , Stvilia Besiki 
Published: January 2013

AbstractThis work‐in‐progress paper presents the methodology and preliminary results of a study that develops a model for identifier schema evaluation and examines identifier schemas currently used for data referencing in the institutional digital repositories of the members of the Association of American Universities. The study's findings can inform librarians, repository managers, scholarly communities, and publishers about the needs and requirements for an identifier schema to help discover, aggregate, and cite data as well as the issues and problems related to current uses of identifier schemas for data.
Curation roles and perceived priorities for data quality dimensions and skills in genome curation work
Authors: Huang Hong , Stvilia Besiki , Jörgensen Corinne 
Published: January 2013

AbstractGenome curation work included users with different curation roles as end‐users, curators and dual‐role users. Genomics scientists with certain role might focus on different data quality aspects and skills requirements. There is a lack of understanding of scientists' perceptions and requirements which hampers the development of systematic and tailed approaches to genome data curation. This research surveyed 158 genomics scientists on their perception and priorities for data quality dimensions and quality sills. The study's findings show that depending on the roles played in scientific data sharing and curation process, genome scientists may have different priorities for and ways of assessing data quality. Curators valued higher the direct quality assessment criteria, while end‐users preferred the quality criteria that could be assessed indirectly. Likewise, end‐users assigned higher priorities to the data quality assessment skills and the skills needed to identify useful information, while curators valued higher the skills needed to make data useful.