Social and Behavioral Sciences Commons^™

Construct Validity Of The Behavior Assessment System For Children-Third Edition Teacher Rating Scales (Basc-3 Trs): Comparisons With The Adjustment Scales For Children And Adolescents (Asca), Shannon Burback

Masters Theses

The Behavior Assessment Scale for Children-Third Edition Teacher Rating Scale Child Form (BASC-3 TRS-C) and the Adjustment Scales for Children and Adolescents (ASCA) are both teacher rating scales which may be used by school psychologist to assess youth behavior problems. The BASC, BASC-2, and BASC-3 have limited replicated research of the studies reported in their respective manuals. Therefore, it was important to empirically compare the BASC-3 TRS-C with the ASCA to examine construct validity (convergent, discriminant, and divergent) as there were, at present, no published studies replicating BASC-3 Manual research. The present study analyzed BASC-3 TRS-C and ACSA ratings which …

Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Refinement And Augmentation For Data In Micro Learning Activity With An Evolutionary Rule Generators, Geng Sun, Jiayin Lin, Tingru Cui, Jun Shen, Dongming Xu, Mahesh Kayastha

Faculty of Engineering and Information Sciences - Papers: Part B

Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an inner loop. The outer loop runs a genetic algorithm (GA) to produce association rules that can be effective in the micro open learning scenario from a small amount of available data sources; while the inner loop optimizes generated candidates by taking into account …

A Framework Towards Data Analysis On Host-Pathogen Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song

Faculty of Engineering and Information Sciences - Papers: Part B

With the rapid development of high-throughput technologies, systems biology is now embracing a great opportunity made possible by the increased accumulation of data available online. Biological data analytics is considered as a critical means to contribute to a better understanding on such data through extraction of the latent features, relationships and the associated mechanisms. Therefore, it is important to evaluate how to involve data analytics from both computational and biological perspectives in practice. This paper has investigated interaction relationships in the proteomics area, which provide insights of the critical molecular processes within infection mechanisms. Specifically, we focused on host–pathogen protein–protein …

Be Empowered! Take The 'Scary' Out Of Linked Data, Angela Yon, April K. Anderson-Zorn

Faculty and Staff Publications – Milner Library

The archives and library community has implemented linked data in recent years. Linked data empowers archivists to connect local data to a global audience using common identifiers and standards. However, due to the high level of institutional requirements that projects typically need with the high barrier of time and resources, many archivists have difficulty incorporating linked data practices into their daily descriptive work.

The Dr. Jo Ann Rayfield Archives at Illinois State University’s Milner Library received the opportunity to digitize a segment of the expansive Ken-Way Studio Photograph Collection. The collection encompasses 120 linear feet and documents the history of …

Data Rescue & Curation Best Practices Guide, Ocul Data Community (Odc) Data Rescue Group

Western Libraries Publications

he aim of the Data Rescue & Curation Best Practices Guide is to provide an accessible and hands-on approach to handling data rescue and digital curation of at-risk data for use in secondary research. We provide a set of examples and workflows for addressing common challenges with social science survey data that can be applied to other social and behavioural research data. The goal of this guide and set of workflows presented is to improve librarians’ and data curators’ skills in providing access to high-quality, well-documented, and reusable research data. The aspects of data curation that are addressed throughout this …

Tools For Data Governance, Michael J. Madison

Articles

This article describes the challenges of data governance in terms of the broader framework of knowledge commons governance, an institutional approach to governing shared knowledge, information, and data resources. Knowledge commons governance highlights the potential for effective community- and collective-based governance of knowledge resources. The article focuses on key concepts within the knowledge commons framework rather than on specific law and public policy questions, directing the attention of researchers and policymakers to critical inquiry regarding relevant social groups and relevant data “things.” Both concepts are key tools for effective data governance.

Data Governance And The Emerging University, Michael J. Madison

Book Chapters

Knowledge and information governance questions are tractable primarily in institutional terms, rather than in terms of abstractions such as knowledge itself or individual or social interests. This chapter offers the modern research university as an example. Practices of data-intensive research by university-based researchers, sometimes reduced to the popular phrase “Big Data,” pose governance challenges for the university. The chapter situates those challenges in the traditional understanding of the university as an institution for understanding forms and flows of knowledge. At a broad level, the chapter argues that the new salience of data exposes emerging shifts in the social, cultural, and …