Digital Commons Network^™

An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau

Michael P. Johnson

Analyzing Trends In Discovery Layer Effectiveness Using High Impact Referrals, Robert Boissy

Upstate New York Science Librarians Conference

Many competing claims have been made about the time and expense of maintaining different discovery tools in the academic library setting. Analysis of traffic, visits, and views may be inadequate data to focus this discussion. Analysis of high impact referrals, those that lead directly to downloads and denials, is more meaningful. Downloads are an indicator of worth, as are denials. This brief session will outline what a major STM publisher looks for in the profile of the discovery layer of its academic clients.

Circulation Rules, Leigh Ann Duncan

University Libraries' Staff Publications

Circulation policies need be updated as library collections expand and change. This presentation will suggest reports to run, comparisons to make, and tables to be familiar with in order ensure your circulation policies are in step with your library collections. We’ll examine specific circulation parameters such as the Loan Rule Determiner Table, Patron Blocks, and Loan Rules. We’ll also discuss how Create Lists and Statistical Reports can identify problematic areas in your item record coding.

Piwik And Clickheat, Junior R. Tidal

Publications and Research

This is a presentation on the how the New York City College of Technology's Ursula C. Schwerin Library utilizes web analytics tools to understand their users. This webinar was given to the Library Information Technology Association's Altmetrics and Digital Analytics Interest Group October 2016 online meeting.

The Impact Of Analytics Utilization On Team Performance: Comparisons Within And Across The U.S. Professional Sports Leagues, Lee A. Freeman

Journal of International Technology and Information Management

Business analytics, defined as the use of data to make better, more relevant, evidence-based business decisions, has received a great deal of attention in practitioner circles. Organizations have adopted business analytics in an effort to improve revenue, product placement, and customer satisfaction. Professional sports teams are no different. While analytics has been used for over 30 years, the use of analytics by professional sports teams is a relatively new concept. However, it is unclear whether the teams that have adopted analytics are seeing any results. If not, then perhaps analytics is not the right solution. Analyses across the four, major …

Implementing Google Analytics For A Consortial Digital Repository, Greg Vogl, Yongli Zhou, Daniel C. Draper, Mark Shelstad

Daniel Draper

No abstract provided.

No, We Don’T Just Read Books All Day. Developing The Statistical Narrative/Infographic For Technical Services, Amy B. Parsons

Faculty Bibliography

This poster illustrates the development of statistical narratives for the work that is done in cataloging and technical services. Our work is behind the scenes but we do the technical work that transforms ordinary books into library books with access points for discoverability. Using infographics, tech services staff can illustrate the quality, quantity, and value of our important work in the library.

Data Mining Twitter For Cancer, Diabetes, And Asthma Insights, Kimberly Chulis

Open Access Dissertations

Twitter may be a data resource to support healthcare research. Literature is still limited related to the potential of Twitter data as it relates to healthcare. The purpose of this study was to contrast the processes by which a large collection of unstructured disease-related tweets could be converted into structured data to be further analyzed. This was done with the objective of gaining insights into the content and behavioral patterns associated with disease-specific communications on Twitter. Twelve months of Twitter data related to cancer, diabetes, and asthma were collected to form a baseline dataset containing over 34 million tweets. As …

Measuring The Impact Of The Repository And Sharing That Information With Shareholders, Aaron Doran

Digital Commons Southeastern User Group 2016

Measuring the Impact of the Repository and Sharing that Information with Stakeholders

Renewable Energy Investment Planning And Policy Design, Alireza Ghalebani

USF Tampa Graduate Theses and Dissertations

In this dissertation, we leverage predictive and prescriptive analytics to develop decision support systems to promote the use of renewable energy in society. Since electricity from renewable energy sources is still relatively expensive, there are variety of financial incentive programs available in different regions. Our research focuses on financial incentive programs and tackles two main problem: 1) how to optimally design and control hybrid renewable energy systems for residential and commercial buildings given the capacity based and performance based incentives, and 2) how to develop a model-based system for policy makers for designing optimal financial incentive programs to promote investment …

The Public Health Information Technology Maturity Index: An Approach To Evaluating The Adoption And Use Of Public Health Information Technology, Kenyon Crowley, Robert S. Gold, Sruthi Bandi, Ritu Agarwal

Frontiers in Public Health Services and Systems Research

Background: Public health information technology (PHIT) has the potential to improve the effective and efficient use of information in achieving public health objectives. Information technology maturity models have been extensively used in other domains to guide information technology assessment and planning, but an information technology maturity model tailored for public health departments has heretofore been unavailable.

Purpose: The purpose of this study was to develop a Public Health Information Technology Maturity Index.

Methods: An extensive literature review and content analysis was conducted of information system adoption, use, and maturity in general and in the public health systems and services research …

Tips And Tricks For Alma Analytics, Mike Rogers

Ex Libris Bluegrass Users Group Newsletter

Tips and Tricks for Alma Analytics, presented at eBUG 2016 by Mike Rogers, University of Tennesse, Knoxville

A Beginner’S Experience With Design Analytics, Jason Griffith

Ex Libris Bluegrass Users Group Newsletter

A Beginner’s Experience With Design Analytics, a presentation given at eBUG 2016 by Jason Griffith, Morehead State University

Hpc Enabled Data Analytics For High-Throughput High-Content Cellular Analysis, Ross A. Smith, Rhonda J. Vickery, Jack Harris, Sara Gharabaghi, Thomas Wischgoll, David Short, Robert Trevino, Steven A. Kawamoto, Thomas J. Lamkin, Kevin Schoen, Eric E. Bardes, Scott C. Tabar, Bruce J. Aronow

Computer Science and Engineering Faculty Publications

Biologists doing high-throughput high-content cellular analysis are generally not computer scientists or high performance computing (HPC) experts, and they want their workflow to support their science without having to be. We describe a new HPC enabled data analytics workflow with a web interface, HPC pipeline for analysis, and both traditional and new analytics tools to help them transition from a single workstation mode of operation to power HPC users. This allows the processing of multiple plates over a short period of time to ensure timely query and analysis to match potential countermeasures to individual responses.

Big Data Analytics In E-Commerce: A Systematic Review And Agenda For Future Research, Shahriar Akter, Samuel Fosso Wamba

Faculty of Business - Papers (Archive)

There has been an increasing emphasis on big data analytics (BDA) in e-commerce in recent years. However, it remains poorly-explored as a concept, which obstructs its theoretical and practical development. This position paper explores BDA in e-commerce by drawing on a systematic review of the literature. The paper presents an interpretive framework that explores the definitional aspects, distinctive characteristics, types, business value and challenges of BDA in the e-commerce landscape. The paper also triggers broader discussions regarding future research challenges and opportunities in theory and practice. Overall, the findings of the study synthesize diverse BDA concepts (e.g., definition of big …

A Fuzzy Rough Sets-Based Multi-Agent Analytics Framework For Dynamic Supply Chain Configuration, Nagesh Shukla, Senevi Kiridena

SMART Infrastructure Facility - Papers

Considering the need for more effective decision support in the context of distributed manufacturing, this paper develops an advanced analytics framework for configuring supply chain networks. The proposed framework utilizes a distributed multi-agent system architecture to deploy fuzzy rough sets-based algorithms for knowledge elicitation and representation. A set of historical sales data, including network node-related information, is used together with the relevant details of product families to predict supply chain configurations capable of fulfilling desired customer orders. Multiple agents such as data retrieval agent, knowledge acquisition agent, knowledge representation agent, configuration predictor agent, evaluator agent and dispatching agent are used …

A Conceptual Model For The Application Of Business Analytics In The Horizontal Strategic Alliance, John Janosko, Tingru Cui, S K. Lau

Faculty of Engineering and Information Sciences - Papers: Part A

The formation of strategic alliances amongst organisations has grown in recent years as globalisation has opened new markets for firms to pursue. It is of ever-increasing importance that organisations have a thorough understanding of the performance of their alliance to achieve competitive advantage. However, much research on strategic alliance has focused on examining the organisations within the alliance rather than focusing on the alliance itself. Using the new discipline of business analytics, this paper proposes a hierarchical model blending the functional roles of business analytics with data standardisation and context mediation frameworks to allow business analytics to be applied to …

Celestial Sources For Random Number Generation, Erin Chapman, Jerina Grewar, Tim Natusch

Australian Information Security Management Conference

In this paper, we present an alternative method of gathering seed data for random number generation (RNG) in cryptographic applications. Our proposed method utilises the inherent randomness of signal data from celestial sources in radio astronomy to provide seeds for RNG. The data sets were collected from two separate celestial sources, and run through the SHA-256 algorithm to deskew the data and produce random numbers with a uniform distribution. The resulting data sets pass all tests in the NIST Statistical Test Suite for random data, with a mean of 98.9% of the 512 total bitstreams from the two sources passing …

Overcoming Human Trafficking Via Operations Research And Analytics: Opportunities For Methods, Models, And Applications, Renata A. Konrad, Andrew C. Trapp, Timothy Palmbach

Forensic Science Publications

Human trafficking is a transnational complex societal and economic issue. While human trafficking has been studied in a variety of contexts, including criminology, sociological, and clinical domains, to date there has been very little coverage in the operations research (OR) and analytics community. This paper highlights how operations research and analytics techniques can be used to address the growing issue of human trafficking. It is intended to give insight to operations research and analytics professionals into the unique concerns, problems, and challenges in human trafficking; the relevance of OR and analytics to key pillars of human trafficking including prevention, protection, …

Towards Data Analytics Of Pathogen-Host Protein-Protein Interaction: A Survey, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song

Faculty of Engineering and Information Sciences - Papers: Part A

"Big Data" is immersed in many disciplines, including computer vision, economics, online resources, bioinformatics and so on. Increasing researches are conducted on data mining and machine learning for uncovering and predicting related domain knowledge. Protein-protein interaction is one of the main areas in bioinformatics as it is the basis of the biological functions. However, most pathogen-host protein-protein interactions, which would be able to reveal much more infectious mechanisms between pathogen and host, are still up for further investigation. Considering a decent feature representation of pathogen-host protein-protein interactions (PHPPI), currently there is not a well structured database for research purposes, not …

Optimizing Government For An Optimizing Economy, Cary Coglianese

All Faculty Scholarship

Much entrepreneurial growth in the United States today emanates from technological advances that optimize through contextualization. Innovations as varied as Airbnb and Uber, fintech firms and precision medicine, are transforming major sectors in the economy by customizing goods and services as well as refining matches between available resources and interested buyers. The technological advances that make up the optimizing economy create new challenges for government oversight of the economy. Traditionally, government has overseen economic activity through general regulations that aim to treat all individuals equally; however, in the optimizing economy, business is moving in the direction of greater individualization, not …

Jomc: 491/891: Special Topic: News Engagement Lab—A Peer Review Of Teaching Project Benchmark Portfolio, Michelle Carr Hassler

UNL Faculty Course Portfolios

This benchmark portfolio analyzes a collaborative elective course offered by the University of Nebraska-Lincoln College of Journalism and Mass Communications in partnership with NET News, the state’s public media organization. The Spring 2016 course offered students hands-on experience creating, implementing and assessing social media content and engagement strategies for NET News. This portfolio showcases the innovative nature of the course while also demonstrating its pedagogical underpinnings. The portfolio provides a broad overview, including course goals and how activities and assignments are aligned with them. Using several assessment strategies, the inquiry focused on the course’s final project, in which students were …

Newsrooms And Social Media, Hanna E. Steinker

Williams Honors College, Honors Research Projects

The purpose of this research is to identify how local newspapers and newsrooms are converging to social media. An Ohio newspaper, The Post volunteered to have its Facebook Pages analytics studied over the course of two months, August through September. A constructed week was formed and four of the company’s Facebook Pages were analyzed. The study intends to examine the current social media position of The Post, assess the potential or areas of growth, and create a best practices manual to propel the selected newspaper’s social media accounts forward. Unlike traditional newspaper consumers, social media users tend to gather their …