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Dr. Stephanie Burnett Horne

Dr. Horne began her academic career in 2002 and earned a BA in Art History in 2005. Anticipating a career in curatorial work, she completed a MIS in Digital Imaging Management. During this time she was project coordinator for a DSpace (open source software) implementation for the Texas Higher Education Coordinating Board’s Learning Object repository. This project encompassed developing, populating and customizing the DSpace repository for learning objects specific to American history.

Factors Impacting the Implementation of Enterprise Content Management Systems

A qualitative case study was conducted to identify key factors that impact the success of enterprise content management (ECM) systems implementations. A theoretical framework was developed from the information systems literature resulting in a research model defining five categories of factors that impact ECM implementation success with these questions: Are there managerial, user, task, technological and content related factors that impact ECM implementation success? The research model was tested in a case study of interviews with 15 team leads and members that implemented ECM systems within their departments at a university. The results included 12 factors that were supported by the interview data as well as a small collection of documents.

Keywords: enterprise content management, implementations, factors, success.


Kimberly Moore

Kimberly Moore, M.S. is adjunct faculty in the School of Library and Information Science at University of North Texas with courses on Digital Youth and Library Buildings and Spaces. Her focus is on the information-seeking habits of youth and new Web 2.0 technologies. She is also Head Librarian at All Saints’ Episcopal School in Fort Worth. In addition to Librarian for the last 15 years, she segued into the classroom four years ago to teach a required sophomore level Web 2.0 research course. She also leads faculty training to incorporate technology meaningfully into the classroom.

Digital Youth: Technologically Savvy but Not Literate

According to a 2013 PEW report on teens and technology, 95% of teens are online and 93% of youth have a computer or access to one. Young people spend about as much time consuming media every day (7 hours, 38 minutes) as their parents spend working, according to a study of 8- to 18-year-olds by the Kaiser Family Foundation. Today’s youth are more plugged in, peer-connected, networked, and social online than ever before. They don’t even communicate via e-mail anymore, an instant message in shorthand works just fine.  They are growing up in a world of intense stimulation - fast-paced games, cell phones and the Internet in their hands at all times, even television is flashier. Toddlers have smart phones and computers. Their brains "hop" faster than that of adults. Fast “hopping” and multi-tasking is the norm for this generation.

Bombarded with digital media this generation of digital natives is inherently savvy with information and communication technologies but this does not translate into a generation that is technologically and digitally literate. The information-seeking habits of digital youth have been a fascination with me for a long time. How do we raise youth to be effective users of information and to make digitally responsible decisions, both while researching and creating new knowledge?

Digital information literacy courses are not the norm. How can we as educators allow this to slip through the cracks? It is no wonder that today’s “copy and paste” youth see nothing wrong in digital piracy and online plagiarism when we have not set an example and trained them how to use technology and social medias. We cannot assume that even at a graduate level, our students are technologically literate. I have taken my high school level Web 2.0 research course and transformed it into a tool for teaching graduate students about digital youth. This serves double duty showing them how to serve youth today by teaching them digital literacies and learning about new technologies along the way. I am forcing my UNT students to look at new technologies in unique ways to connect to digital youth and to set an example for future generations. I will discuss what digital youth look like today, how I teach high school sophomores to become technologically responsible users and creators of information, and graduate students how digital youth think and act along with digital technologies and skills to serve youth today.

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Guillermo A. Oyarce, Ph.D.

Department of Library and Information Sciences
College of Information, Associate Professor
University of North Texas

A Content Analysis and Study of the 2000-2009 Electronic Dissertations at UNT

UNT started requiring Electronic Theses and Dissertations (ETD) in 2000. There are over 3,000 of these documents from the period between 2000 and 2009. The examination of this collection shows that there has been a constant interest in Knowledge Management (KM) across time and disciplines. Intrigued by this fact, the researchers have started to methodically analyze the materials seeking to identify areas of concern, disciplinary commonalities and differences of the problems being addressed, of the methodologies used in each case, and any other interesting points that may emerge from the study and analysis of the corpus. The references used in each KM ETD will be examined and compared with the other KM ETD in search of patterns. This presentation will report on these findings.


Yousef Alfarhoud


In 2008, I received my bachelor degree in Library and information science from College of Basic Education, Public Authority for Applied Education & Training, Kuwait. In 2012, I received my Master’s degree in Library and information science, Faculty of Social Sciences, Kuwait University.


Information seeking behavior of members of Kuwait National Assembly

The Kuwaiti government consists of the executive, legislative and judicial bodies. The legislative body is the Kuwait National Assembly (KNA). Legislators affect the decision-making process. They represent a broad range of interests, backgrounds, experiences, and networks. The legislators acquire information that reflects on their work. Legislators have the privilege to suggest new laws and legislate proposals. The decision-making process largely depends on the quality of information acquired. As such, the quality of information provided to them or acquired by them may affect the quality of the legislative proposals they present.

The purpose of the study is to identify and evaluate the information seeking behavior of members of the KNA. It will aim to evaluate the information role in the political life. Moreover, the study will indicate the important role of the administrative assistants on acquiring information related to the member’s legislative work. The study will help to identify the role of the RIC on the information process of the members of the KNA. Furthermore, the study will provide suggestion that will help improve the services and resources to enhance the utilization of this center. Finally, it will discover the impact of SNSs on the members of the KNA work.


Abdulaziz Alhassan and Jeonghyun (Annie) Kim

Abdulaziz Alhassan is a doctoral student in the Interdisciplinary Information Science PhD Program at the University of North Texas.

Jeonghyun (Annie) Kim is an assistant professor in the Department of Library and Information Sciences at the University of North Texas. Her research interest include Data Curation and Management, Information Behavior & Interaction, Library and Information Science Education.

Research Data Management Services: Context, Opportunities, and Implications

The exponential growth in big data has become an important agenda item across nearly every area of information technology and has led to the development of a new competitive arena as revolutionary measures are needed for the management, analysis, and accessibility of this data. Such data growth has fundamentally changed the landscape of scientific research as well, and the need for organized, accessible, and well-preserved sets of data is increasing among researchers. Research Data Management (RDM), which is the practice of organizing data from the beginning of the research cycle through the dissemination and archiving of valuable outcomes to provide access for these data sets, has become a pressing issue and a critical factor in both conducting and funding research.

Since the National Science Foundation (NSF) started requiring data management plans for research proposals in 2011, many academic libraries across the United States have begun to adopt and establish RDM services to help their communities. RDM services are defined as services that provide information, consulting, training, or active involvement in data management planning, data management guidance during research, research documentation and metadata, research data sharing, and the curation of data. According to a recent survey of Association of Research Libraries (ARL) member libraries (Fearon, Gunia, Pralle, Lake, & Sallans, 2013), almost three-quarters currently offer RDM services and one-quarter of respondents plan to. However, it should be noted that libraries are facing various challenges, including technical and financial challenges, to providing reliable and sustainable RDM services that meet the needs of their community.

This presentation will discuss the context, opportunities, and implications surrounding the planning, development, and management of RDM services. It will also discuss different approaches adopted in academic research libraries by outlining their strategies and best practices for planning, implementing, and delivering RDM services.

Fearon, D., Gunia, B., Lake, S., Pralle, B., & Sallans, A. (2013). Research data management services in ARL libraries: a SPEC kit. Washington, DC: Association of Research Libraries, Office of Management Services. Retrieved from


Ana D. Cleveland, PhD, AHIP, FMLA & Jodi L. Philbrick, PhD

Dr. Ana D. Cleveland is Regents Professor, Sarah Law Kennerly Endowed Professor, and Director, Health Informatics Program at the University of North Texas – College of Information.  She was named a Fellow of the Medical Library Association in May 2013. Additionally, she is the Chair of the Medical Library Education Section of the Medical Library Association. Dr. Cleveland has an extensive list of presentations, publications, and awards.  She and Dr. Don Cleveland recently published the 4th edition of their popular book, Indexing and Abstracting.

Using Knowledge Management Principles to Develop the Next Generation of Academic Library Leadership

As more and more academic libraries face turnover in leadership positions, it is important to employ principles of knowledge management in the profession to capture and share knowledge from the current leadership to the next.   Succession planning, knowledge-sharing programs, and mentoring are some methods that can be used to ensure that knowledge is communicated and transferred.  The role that professional associations, educational programs, and professional development plans play in ensuring a new generation of competent and effective leaders will be discussed.


Kathryn Masten and Jiangping Chen

Dr. Masten recently received a Ph.D. in Interdisciplinary Information Science from the University of North Texas (UNT), after completing significant coursework at Indiana University (IU). Her previous work experiences include serving as the Associate Director for UNT’s interdisciplinary Texas Center for Digital Knowledge; as the Graduate Assistant for IU’s Rob Kling Center for Social Informatics, and as a senior technical writer and knowledge management coordinator for Eli Lilly and Company, a major pharmaceutical.

From Data to Knowledge, From Local to Global, the Research Questions for Information Professionals

What are the important problems we may be able to address as a researcher and information professional in this fast changing digital world? This presentation raises some research questions related to challenges we face in dealing with data, information, and knowledge under local context as well as global environment. Also it reports an exploratory analysis of funding opportunities from federal agencies such as IMLS, NSF, and NIH in the areas of intelligent information access, big data, community knowledge, education, and information users. Sample projects will be discussed to explore collaborative research opportunities with national and international information institutions.


Nabil Elwani

Nabil Elwani is an information science Ph.D. candidate at the University of North Texas, Denton, TX. His areas of interest include information seeking behavior, behavioral finance, and investor sentiment. Prior to joining the Ph.D. program, Elwani received his BS in Management Information Systems from King Fahd University of Petroleum and Minerals, Saudi Arabia. In 2011, he earned a master of accounting degree from The Ohio State University, Columbus, and is a member of Alpha Chi National College Honor Society.

The Information Seeking Behavior of Individual Investors in Saudi Arabia

Investors’ decision to invest their financial resources in capital markets is a critical decision. Hence, investors should have enough information and knowledge about their future investment. The exponential growth of information, diversity of formats, availability of sophisticated information and communication technologies, immediacy, and economic barriers could affect that quality and relevancy of available information. The purpose of this quantitative study is to examine the information seeking behavior of investors in Saudi Arabia, and especially the non-advisory context of the investors’ decision making process. Empirical research in that area, and in this part of the world, is scarce, hence this study will add value and will be the beginning of more extensive research in that area.


Ali A. Albar

Mr. Ali A. Albar earned a Master Degree in Information and Communication Sciences from Ball State University, Muncie, IN. Presently, Mr. Albar is an Information Science PhD candidate at the University of North Texas, Denton, TX.

Collaborative Information Seeking Behavior: An Ethnographic Research in Technical Support Setting

This study aims to describe the multifaceted concept of collaborative information seeking behavior in technical support settings. Previous studies have discussed diverse factors that could establish the collaborative work in different settings such as healthcare, business, and education. The literature reveals that lack of knowledge, lack of information access, and level of task complexity are triggers that could establish the collective work. Computer technical support environment has not been qualitatively investigated with information seeking behavior. The findings of this research provide some practical explanations of recent collaborative information seeking models and their triggers. Moreover, the deep analysis of the collected data from participating observations and interviews led to newly discovered triggers related to the natural of work tasks in technical support setting. The discussion part in this research puts forth some future research directions and recommendations for information science researchers and technical support professionals that could enhance the quality of service and team collaboration.

Keywords: Collaboration, Collaborative Information Seeking, Technical Support, Collaborative Problem-Solving, Collaborative Troubleshooting


Xin Wang

Xin Wang, received her PhD degree in Library & Information Science from the University of Missouri (MU), Columbia, MO, in 2012. During the course of pursuing her degrees at MU, she worked as a senior User Experience (UX) researcher at the Information Experience (IE) laboratory for over six years. Currently, Xin Wang works as the Lecturer at the Department of Library & Information Science of University of North Texas. Her research interests include User Experience (UX) Design, Health Informatics, and Data Analytics. Dr.

Establishing Image Attributes for Designing a Visual Knowledge Infrastructure through Analyzing Medical Image Users’ Classifying Behavior

Due to the upcoming retirement of senior image analysts from the baby boom generation, the imperative need for cultivating new generation professionals is rising (Shyu, Erdelez, & Cho, 2008). How to retain experienced image analysts’ knowledge and allow it to be transferred to successive generations is a significant and challenging issue in the intelligence community (Shyu, et al., 2008). The issue is especially prominent in the community of radiography. Unlike other medical specialties, radiographic technologists’ decisions are heavily relied on visually-based tacit knowledge, untold heuristics, and subtle cues. Therefore, it is critical to develop robust tools that may archive, retrieve, and share various image data (e.g., tomographic image) carrying with domain expert’ tacit knowledge. In order to best serve future-generation image analysts’ knowledge acquisition and exchange among interdisciplinary communities, the ongoing project, VisKM infrastructure, is a content - based image retrieval (CBIR) and knowledge-management system. VisKM is funded by the National Science Foundation (NSF) since 2008 and is carrying on via the collaboration of researchers from three disciplines: computer science, information science, and health informatics.

This present study reports a part of research results from a broader research project. This study focuses on the classifying behavior of medical image users. When users had a vague idea of what images they want to find, there was a need for classification of images based on the abstract concepts. Another challenge for designing information retrieval systems is how to display large groups of records representing documents. Thus, studying user classification behavior can make substantial contribution to the user-centric interface design of image retrieval systems. Examples are designing categories for browsing search, menu categories, and organized result displays.

The purpose of this study is to investigate how do domain experts classify images differently from novices? 40 x-ray images were randomly selected from the UMHC Centricity PACS (Picture Archiving Communication System) and all these x-ray images were uploaded to the online sorting tool. Twenty-seven (27) participants were asked to group these images in order to find these images at a later time. After they were finished with sorting, participants was asked to label a name for each group and provide a brief description of the common characteristics of each group of images. At least two common characteristics (visual cues, semantic judgments, or both) need to be identified in one group. The group labels and the common characteristics were analyzed. As a result, novices and experts preferred image attributes with this sorting task were identified and will be recommended to be integrated to the future design and development of a medical image system.

Shyu, C.-R., Erdelez, S., & Cho, K. (2008).  (pp. 25). University of Missouri National Science Foundation.