Laupus Library Presents Virtual Love Data Week 2021
Love Data Week is an international event intended to engage researchers in dialogues around issues and methods in data creation, analysis, and visualization. As federal and foundation funders increase their focus on rigor and reproducibility, conversations about data are more important than ever. Join us as we present virtual conversations and training on data-related issues and tools.
Sessions are open to ECU Faculty, Staff, and Students. No registration required. Email Mary Roby for Teams links.
Schedule of Events
Monday, February 15
Introduction to R
10:30am-12:30pm
Hui Bian
Statistics and Research Consultant, Office for Faculty Excellence
R is a free and open source software package. You can download R anywhere. This session is for the people who don’t know much about R. Please download both R and RStudio to your computer. We will use RStudio and learn how to set up a working directory, import different types of data files to R, recode and create new variables, and get descriptive statistics, Chi-square and Fisher’s exact test, and graphs.
It Takes a Team – Addressing a Policy Question Using National Data. Sugar Sweetened Beverages and Dental Decay in US Adults from the National Health and Nutrition Examination Survey 2013-2016
3:00-4:00pm
Mark Moss
School of Dental Medicine
This presentation will describe our approach and the steps we took together. We developed a research question by building a team of investigators to address it. This dataset is large and representative of the US population. The research question required input from an economist, Dr. Molly Jacobs of ECU, a dental caries expert, Dr. Roopsi Kaur of ECU, and three epidemiologists each with their own focus- Drs. Huabin Luo (health services) and Moss (dental public health) from ECU and Dr. Asher Rosinger (nutrition) from Penn State University.
Tuesday, February 16
Spatial and High-Frequency Data: Applications in Environmental Health Research
9:00-10:00am
Guy Iverson
Department of Health Education and Promotion, College of Health and Human Performance
Spatial and high-frequency methodologies are highly adaptable across numerous disciplines. Data when analyzed spatially can help to explain trends through visualization of spatial characteristics (e.g., population density, land use, topography, areal differences, etc.). High-frequency data are those that are collected with small time intervals between consecutive sampling events (e.g., sampling a parameter every minute for 2 weeks). These data are particularly helpful in identifying fine-scale temporal fluctuations in datasets. In this presentation, I will provide a brief introduction to spatial and high-frequency data followed up by examples highlighting their applications in my research, which focuses on spatiotemporal trends in water quality.
How CBPR Can Still Thrive in Online Spaces: Using Photovoice as an Example
11:00am-12:00pm
Kristin Black
Department of Health Education and Promotion, College of Health and Human Performance
Affiliated Faculty, Center for Health Disparities, Brody School of Medicine
In the midst of the COVID-19 pandemic, many qualitative and community-engaged researchers had to quickly shift from collecting data in-person to online spaces. This presentation will share how Kristin Z. Black, PhD, MPH navigated unforeseen challenges in conducting her photovoice project with black and white parents that explored parenting in the current racial climate. Dr. Black will discuss how she carried out the typically in-person photovoice process via online conferencing and was able to have an engaging conversation with participants that aligned with the community-based participatory research (CBPR) principles. Furthermore, Dr. Black will discuss how photovoice is a unique CBPR approach that allows for deeper discussions about challenges identified by participants and cultivates opportunities to identify and even promote solutions to tackle these challenges.
The Use of Eye Tracking Data in Social Communication Research
1:00-2:00pm
Kathrin Rothermich
Social Communication and Neuroscience Lab (SCONE Lab)
Department of Communication Sciences and Disorders
Recordings of eye movements indicate the location in a visual scene from which a person was seeking detailed information. In combination with tests of cognitive performance, such as identifying the communicative intention of another person, it provides valuable information in addition to a person’s behavioral task. Measuring a subject’s eye fixations on test stimuli helps to provide insights into task performance strategies and offer crucial evidence regarding how individuals with social communication deficits detect, attend to and show understanding of social information. Using examples from studies on social communication skills in people with Autism Spectrum Disorders and individuals with Parkinson’s Disease, I will present the advantages and challenges of collecting eye movement measurements.
Learning to Love Heterogeneity: Analysis of Marginalized and Vulnerable Populations
2:30-3:30pm
Molly Jacobs
Health Services and Information Management
A great deal of new and current research focuses on “big data” and the advantages of using machine learning to detect trends and patterns within large volumes of data. Despite being one of the primary features of big data, heterogeneity often results in problems in the data integration required for big data analytics. Despite the potential of big data analytics to transform health care, statistical methodologies for dealing with heterogeneity in big data analysis appear to be still in their infancy. As researchers, it is important to be mindful of how these techniques will impact equity in utilization and outcomes of health care. Health care disparities cost $309 billion annually. The differences in life expectancy between the majority and those marginalized and vulnerable populations is about 15 years. Whether researchers approach data with parametric versus nonparametric, Bayesian versus frequentist, likelihood versus robust, techniques, researcher should devote substantial thought to handling heterogeneity in all data with strong, diverse, and well-developed ideas, methods, and approaches, that can address these challenges.
Wednesday, February 17
From a Data File to Reporting: An Approach to Managing Survey Data
9:00-10:00am
Jhojana Infante Linares, Jedediah Smith, Otto Rehfeld
Office of Data Analysis and Strategy
Surveys, surveys, surveys! Surveys are conducted for many reasons, and these are one of the primary methods for data collection. However, managing survey data can be exhausting. This session will present (1) a way to manage data collected from surveys, (2) the processes developed to import and transform survey data in centralized operational storage, and (3) showcase a case study for survey data reporting.
Data Management Plans for Grant Applications: Understanding the Required Components and the Tools and Resources to Meet Them
1:00-2:00pm
Kerry Sewell
Research Librarian Laupus Library
Federal and foundation funders have placed increasing emphasis on data management as an essential cornerstone of reproducibility. In pushing authors to meaningfully engage in data management through advance planning, Data Management Plans (DMPs) are now required for most federal funders and many foundation funders. Grant applicants often state that they are not certain of what is being asked when writing DMPs. This session is an introductory training session on the essential components of DMPs and some of the tools and resources that can be used to meet the required components of good data management.
Thursday, February 18
REDCap Training – Basic REDCap (Research Electronic Data Capture)
10:00-11:30am
Chris Motteler
ITCS
REDCap (Research Electronic Data Capture) is a secure, approved for HIPAA- and FERPA-use, web-based application for building and managing online surveys and databases.
“When is an Increase a Decrease and Vice Versa?” Use of Data in Childhood Obesity Research: Examples and Explanations from the Field
12:00-1:00pm
Suzanne Lazorick
Departments of Pediatrics and Public Health
ECU Pediatric Healthy Weight Research and Treatment Center
Associate Director of Community Research and Prevention
Dr. Lazorick will share the nuances of studying children with obesity and how to detect changes in weight status over time in growing children. Using examples from her studies in young adolescents and from patients in the Pediatric Healthy Weight clinic, participants will learn about various measures of weight status, strengths and limitations of sources of data and their application in the childhood obesity field.
REDCap Demo Q & A
2:00-3:00pm
Chris Motteler
ITCS
Musculoskeletal Modeling: From Movement to Analysis
3:00-4:00pm
Stacey Meardon
Department of Physical Therapy, College of Allied Health Sciences
Dr. Meardon will present promises and pitfalls associated with musculoskeletal modeling as well as steps that can be taken to ensure plausibility. Data management and reporting strategies will also be shared and discussed.
Friday, February 19
Introduction to PowerBI
9:00-10:00am
Scotty Stroup, ITCS Enterprise Data Services
Jhojana Infante Linares, Office of Data Analysis and Strategy
PowerBI is a Microsoft business intelligence solution with user-friendly tools for reporting and analytics. East Carolina University and Brody School of Medicine utilizes to connect and report data in a broad range of interactive ways. In this introductory session, participants will learn how to connect a data source and create a simple visualization. A case study on how this tool is being used by ECU and Brody School of Medicine.
Making Meaning from Focus Groups and Interviews
11:00am-12:00pm
Kim Larson, College of Nursing
Holly Mathews, Department of Anthropology
Kim Larson, a nurse scientist, and Holly Mathews, a medical anthropologist, will demonstrate qualitative methods for understanding textual data. Data management, such as first and second level coding, and analytic techniques will be delineated through two different community-based studies with the Latinx population in eastern North Carolina.