"This report describes the state of the intelligent transportation system (ITS) industry and provides a reference for use in soliciting ITS strategic plan inputs from stakeholders in Texas."

This article discusses how libraries can use demographic trends to tailor library services to future populations.

A page describing monetary arrangements for the Dallas Way.

Paper included in a report for the Council on Library and Information Resources (CLIR) on research data management and the DataRes Project. This section reports on The Denton Declaration. Abstract: On May 22, 2012, at the University of North Texas, a group of technologists and librarians, scholars and researchers, university administrators, and other stakeholders gathered to discuss and articulate best practices and emerging trends in research data management. This declaration bridges the converging interests of these stakeholders and promotes collaboration, transparency, and accountability across organizational and disciplinary boundaries.

Paper included in a report for the Council on Library and Information Resources (CLIR) on research data management and the DataRes Project. This chapter highlights some of the most provocative findings of the DataRes Project on the topic of research data management in higher education and possible scenarios for the future and the implications of these scenarios.

Paper for a Council on Library and Information Resources (CLIR) report on research data management. This paper reports on data management and the DataRes Project.

Paper for the 2014 Association for Information Science and Technology (ASIS&T) Annual Meeting. This paper discusses building a collection of web archiving research articles.

This paper presents results of an exploratory analysis of representation of dates in over 8 million metadata records from the Digital Public Library of America (DPLA), and compares it to Extended Date/Time Format (EDTF) specifications.

This paper presents an approach to extract implicit interpretations from modal constructions.

This paper presents a two-step procedure to extract positive meaning from verbal negation.

Paper outlining challenges and resolutions to maintain interscorer reliability. This work supported Suzanne Chong's Master's Thesis.

This paper was presented at the 2016 IFLA World Library and Information Congress Satellite Meeting on Subject Access: Unlimited Opportunities. This paper reports on the change in a sample of MARC 21 library metadata records over a period of two years.

This paper uses template analysis methodology to examine skills and competences relevant to taxonomy design work, and the soft skills that employers both demand and struggle to articulate.

This paper explores how libraries use data analytics for decision-making on various aspects of day-to-day library operations

This paper explores the possibilities of using QR codes in providing different library services.

This paper examines arts and humanities academics' scholarly information needs and their means of accessing scholarly e-content in today digital environment.

This paper explores the usage of open source software in bibliometric analysis.

This paper reports findings from a study to understand how participants build and maintain social capital through group communication on WhatsApp.

This paper catalogues the New York City Department of Health and Mental Hygiene's redevelopment efforts to understand users and reimagine uses for its public use data.

This paper characterizes the Ontobee relations ontology in the biomedical science domain with comparisons to the Conflict and Mediation Event Observation (CAMEO) relations taxonomy and the UMLS semantic network relations.

This paper examines the process the Institute for Functional Medicine took to implement a digital asset system and the increased focus on a knowledge sharing culture.

This paper reports on a comprehensive root cause analysis exercise of deficiencies in knowledge management maturity models.

This paper proposes a supervised learning model based on Convolutional Neural Network (CNN).

This paper illustrates easy-to-use applications and procedures for creating basic expert systems.