Social and Behavioral Sciences Commons^™

Building Capacity To Effectively Share And Use Data, Robert Blagg

Other QIC-WD Products

In child welfare, the need to utilize meaningful data to ensure that the services provided are effective in supporting children and families represents a continuing challenge. There is a large volume of data from sources that are internal and external to child welfare agencies; and it increases almost exponentially on a regular basis. It is difficult for leaders and practitioners to quickly and meaningfully synthesize, make use of, and share new information with colleagues who need it to make sound decisions. Even when data is transformed into knowledge, challenges remain around the preferred method of ensuring information reaches the individuals …

Measuring Influence On Twitter, Daniela B. Martinez

Publications and Research

A survey took in MAT 1372 about students' opinions on Twitter showed that most of them assumed that if a Twitter account has more followers, it will receive more likes or replies. However, accounts can buy followers, and followers do not necessarily mean engagement. In this paper, we used Twitter because it is a significant player in social media, but we can measure influence without using Twitter's follower count. We took a reference from Meeyoung Cha's article "The Million Follower Fallacy," which has demonstrated that the Twitter follower count is a meaningless metric in determining influence. To measure influence, a …

Downeast Maine Mat Expansion Project: Year 2 Data Summary, Mary Lindsey Smith Phd, Evelyn Ali Bs, Tyler Egeland Ba

Substance Use Research & Evaluation

This report summarizes the Year 2 activities of the Healthy Acadia Downeast Maine MAT Expansion Project. Through a collaborative effort of Healthy Acadia, its providers, the Downeast Substance Treatment Network and Downeast Substance Use Response Coalition, the project utilized multiple evidence-based strategies to combat opioid use disorder (OUD) in Downeast Maine.

FMI: M. Lindsey Smith, PhD, m.lindsey.smith@maine.edu

Introduction To Data Dictionaries, Quality Improvement Center For Workforce Development

Other QIC-WD Products

Are you interested in exploring how to leverage the data necessary to examine and address child welfare workforce challenges in your agency? If so, you may consider developing and using a human resources data dictionary to help guide your work. A data dictionary is a collection of detailed information about the content and structure of data in one or more databases. This descriptive information is often called metadata (i.e., data about data). Other terms used to describe data dictionaries include data definition matrix, metadata repository, design dictionary, and business glossary. You also might see other variations of these terms, further …

Introduction To Workforce Metrics, Quality Improvement Center For Workforce Development

Other QIC-WD Products

It is important for Human Resources (HR) and child welfare leaders to start with a question-based mindset when analyzing workforce data (i.e., being thoughtful about what you and/or your stakeholders want to know), but it is also important to leave room to explore the data as well. This can only be accomplished if you know what is possible. This blog post describes some of what is possible to explore within the realm of workforce metrics as they relate to employee well-being, performance, and retention. In many ways, the concept of workforce metrics is still in its infancy and many things …

Sharpgrads: Development And Assessment Of A Research Skills Workshop Program For Graduate Students At The University Of South Carolina, Stacy L. Winchester, Amie D. Freeman

Faculty and Staff Publications

INTRODUCTION Academic libraries are placing increasing emphasis on the provision of instruction for graduate students in non-traditional research skills and competencies such as scholarly communication concepts, data management and visualization, and text mining. Since proficiency in these concepts is often expected of graduate students but training may not be offered in the classroom, the library is a natural home for such instruction. DESCRIPTION OF PROGRAM Librarians at the University of South Carolina created a two-day workshop series for graduate students called SHARPGrads. This paper describes the planning process, survey method used to develop and assess the program, and findings obtained …

Measuring The Spread Of Covid-19 In Kentucky: Do We Have The Right Data?, Kenneth R. Troske, Paul A. Coomes

Institute for the Study of Free Enterprise Working Papers

We examine various measures of COVID-19 infections, hospitalizations and deaths, with an emphasis on data for Kentucky. We find that: Data on the number of new reported cases of the disease obtained from convenience samples (as opposed to representative random samples) is an inaccurate measure of the spread of the disease in the State. Using CDC data and national studies, it appears that there were ten times the number of infections in March than reported for Kentucky at the time and by September the State is still capturing only one out of two people infected.

A better measure of new …

Want To Improve Organizational Outcomes? Consider People Analytics, Quality Improvement Center For Workforce Development

Other QIC-WD Products

People analytics has been around for more than 20 years. However, it continues to be viewed as an emerging area of study. People analytics shows the contribution that the workforce makes to organizational success and provides insight to maximize that contribution. It is an evidence-based practice that allows human resources (HR) staff to evaluate practice for the purpose of improving outcomes for employees, and to communicate with the workforce the effectiveness of personnel management and HR practice. People data, when used appropriately, may improve trust and transparency within organizations. There is evidence that organizations are not using the people and …

Brave New World: Privacy, Data Sharing And Evidence Based Policy Making, Rhonda S. Binda

Open Educational Resources

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities in particular are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, governments are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more …

Does Your Agency Embrace Evidence -Based Management Practices?, Quality Improvement Center For Workforce Development

Other QIC-WD Products

Child welfare agencies are encouraged to use evidencebased practices in all aspects of their work to try to improve outcomes for children and families. The child welfare field has made improvements in using data, research, and evaluation to inform practice and decision-making, but still has a ways to go. The primary goal of the Quality Improvement Center for Workforce Development (QIC-WD) is to build the evidence base regarding strategies to strengthen the child welfare workforce. One means of practicing evidence-based management for improving workforce outcomes is using workforce analytics. As part of the Child Welfare Workforce Analytics Institute, the QIC-WD …

Seal, Social Experiences In Assisted Living: Social Network Analysis Data, Rebecca Mauldin

Social Networks for Social Good Dataset Collection

This dataset is from a longitudinal social network analysis research project that collected survey data on three separate occasions over a 6-month period from residents in a single assisted living facility. It includes psychosocial survey data and social network survey data on acquaintance, companionship, social support, and negative interaction ties among residents of the assisted living facility. === We recommend reading the README.txt and Data Overview - SEAL.pdf files for an orientation to the dataset. ===

Data, Stats, Go: Navigating The Intersections Of Cataloging, E-Resource, And Web Analytics Reporting, Rachel S. Evans, Wendy Moore, Jessica Pasquale, Andre Davison

Presentations

Do you trudge through gathering statistics at fiscal or calendar year-end? Do you wonder why you track certain things, thinking many seem outdated or irrelevant? Many places seem to keep counting certain statistics because "that's what they've always done." For e-resources, how do you integrate those with physical counts and reconcile the variations (updated e-resources versus re-cataloged physical items)? What about repository downloads and other web traffic? The quantity of stats that libraries track is staggering and keeps growing. This program will encourage attendees to stop and evaluate what and why they're gathering data and help identify possible alternatives to …

Rdc Data Alternatives: Conducting Research During Covid-19, Kristi Thompson, Elizabeth Hill

Western Libraries Presentations

Recent physical distancing protocols pertaining to the COVID-19 Pandemic have meant that RDC researchers need to find alternatives ways of carrying out their research. The Real Time Remote Access (RTRA) program offers one alternative way to access confidential Statistics Canada data. Other options include using the Statistics Canada public use files and analyzing data from other sources.

The presenters, data librarians from Western Libraries will discuss the differences between the data that can be accessed through the RTRA the RDC. RTRA data is a very useful option for some types of questions but also has some important limitations. We will …

An Analysis Of Police Pursuits In Ct During 2019, Erica Boccuzzi

CJ Masters Theses

Police pursuits can occur at any time, any location and can have numerous outcomes. There is past research on this topic which has been compared to this current study. The purpose of this research project is to analyze pre-existing data alongside the data collected by the researcher. The goal of this project serves to study every aspect of a police pursuit as provided through a mandatory pursuit form. In specific, the research was collected from different departments within the state of Connecticut during the 2019 calendar year. The pursuit form includes crucial information which can provide insight regarding pursuits in …

Action Strategy Worksheets, New Orleans Children & Youth Planning Board

Phase 2 Action Strategies & Metrics

Informed by prioritization and feedback on solutions by Implementation Tables and the Youth Planning Board, the Youth Master Plan partners (CYPB, NOYA, and the City's Office of Youth & Families) have identified the solutions that will be launched in the first two years of the 10-year Youth Master Plan.

Remix Your Data: Visualizing Library Instruction Statistics, Brianna Marshall, David Edward "Ted" Polley

LOEX Conference Proceedings 2013

No abstract provided.

A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam

Faculty of Engineering and Information Sciences - Papers: Part B

Historical data offers a wealth of knowledge to the users. However, often restrictively mammoth that the information cannot be fully extracted, synthesized, and analyzed efficiently for an application such as the forecasting of variable generator outputs. Moreover, the accuracy of the prediction method is vital. Therefore, a trade-off between accuracy and efficacy is required for the data-driven energy forecasting method. It has been identified that the hybrid approach may outperform the individual technique in minimizing the error while challenging to synthesize. A hybrid deep learning-based method is proposed for the output prediction of the solar photovoltaic systems (i.e. proposed PV …

On Masking And Releasing Smart Meter Data At Micro-Level: The Multiplicative Noise Approach, John Brackenbury, P. Y. O'Shaughnessy, Yan-Xia Lin

Faculty of Engineering and Information Sciences - Papers: Part B

Smart meter electricity data presents privacy risks when malicious agents gain insights of private information, including residents’ lifestyle and daily habits. When allowing access to record-level data, we apply the multiplicative noise method to mask individual smart meter data, which simultaneously aims to minimise disclosure of a dwelling’s consumption signal to any third party and to enable accurate estimation of the sum of a cluster of households. Three testing criteria are introduced to measure the performance of multiplicative noise masking approach relevant to the smart meter data. We propose a novel ‘Twin Uniform’ noise distribution and derive relevant theoretical results. …

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 …

Lincoln County Community Paramedicine Data Collection Initiative, Katie Rosingana Ba, Evelyn Ali Bs, Karen Pearson Mlis, Ma

Substance Use Research & Evaluation

No abstract provided.

Lincoln County Community Paramedicine Data Collection Initiative [Infographic], Evelyn Ali Bs, Katie Rosingana Ba, Karen Pearson Mlis, Ma

Substance Use Research & Evaluation

No abstract provided.

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 …

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 …

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.