Love Data Week 2023, February 13 – 17

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 tackle various data-related topics during the week of Valentine’s Day, February 13-17, 2023. This year Laupus Health Sciences Library will be hosting nine presentations dealing with data-related topics. REDCap training will also be provided during this week. Most sessions will be in-person in the 4th Floor Gallery and streamed online.

Schedule of Events

Monday, February 13

Responding to a public health crisis using mixed methods: Examples from studies on overdose prevention interventions

Presented by Dr. Kathleen Egan, Department of Health Education and Promotion and Dr. Lori Ann Eldridge, Department of Recreation Sciences

Dr. Egan will discuss several opioid prevention studies that have utilized both primary and secondary approaches to collect quantitative data. Methodologies will include mystery caller data collection, use of existing and publicly available health outcome and service provision data, and geographic information system data. Dr. Eldridge will discuss training individuals with lived experiences to collect qualitative data from members of their community to improve implementation of overdose prevention programs. Collectively, these examples will demonstrate a mixed method approach to respond to a public health crisis in an equitable and community-engaged manner.

10:00am – 11:00am 4th Floor Gallery
View Panopto recording

Introduction to R

Presented by Dr. Hui Bian, Office for Faculty Excellence

R is a free and open-source statistical package. This workshop is for the people who don’t know much about R. We will use R studio. The workshop will cover the basics of R, how to import files to R, how to recode and create new variables, and how to get descriptive statistics.

Please install R and RStudio and download data files before the session.

1:00pm – 3:00pm
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Tuesday, February 14

Ethical considerations for data collection and use

Presented by Dr. Nic Herndon, Department of Computer Science

Decisions made by machine learning algorithms permeate throughout our society, such as music, movies, and purchase recommendations; algorithmic hiring; risk assessments for parole release decisions; clinical management of patients; and image classification for diagnosis; to name just a few. Machine learning is designed to uncover correlations that might not be identified with other research methods, but without human oversight. However, these algorithms rely heavily on the data provided to train them, and because of this, how data is collected shapes the outcome of their predictions. Putting such human oversight in place is what is desperately needed to make machine learning algorithms work more fairly.

9:00am – 10:00am 4th Floor Gallery
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Data Sharing in Science Policy: Foundations, Current Policies and Practices, and Future Directions

Presented by Kerry Sewell Information and Research Services, Laupus Health Sciences Library

This session will discuss the changes in science policy that focus on increased data sharing. In doing so, it will include a discussion of the forces that have given rise to the changes as well as the levels of data sharing across the disciplines.

11:00am – 12:00pm 4th Floor Gallery
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COVID19 Testing Dashboards

Presented by Dr. John Fallon, Brody School of Medicine

Dr. Fallon will be presenting on the work of the ECU Health Microbiology Laboratory and the Pathology Genomics Core throughout the COVID-19 Pandemic. His presentation will include an overview of the SARS-CoV-2 Virus as well as the pathogenesis of COVID-19. Subsequently, Dr. Fallon will discuss the Clinical Lab testing results for ENC and the sequencing of samples performed by the Pathology Genomics Core, with special attention to the COVID19 Testing and Sequencing Dashboards. These dashboards have provided evidence of key trends in testing as well as virus mutations throughout the pandemic.

1:30pm – 2:30pm 4th Floor Gallery
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Wednesday, February 15

Plain Language Summaries: A Tool for Scientific Communication & Inclusivity

This presentation has been cancelled.

Presented by Dr. Kerri Flinchbaugh, Professional Writing Consultant for Laupus Library

A Plain Language Summary (PLS) is an incredibly effective science communication tool that allows researchers to reach a wider audience by summarizing their work in terms that are more inclusive and accessible to people outside of a specific field or scientific circle. This presentation explores rhetorical aspects of these summaries along with tips and tricks for thinking through the composition of an effective PLS. Participants will be asked to consider the meaning of ‘understandable language’ along with what it means to write for a broader audience.

From Analog to Digital: Case Study on Improving Data Collection and Reporting Processes

Presented by Jhojana Infante Linares, Director, Data Analysis and Strategy and Jedediah Smith, Data Analyst, Office of Data Analysis and Strategy Brody School of Medicine

Change is inevitable and often necessary to standardize data collection, streamline workflows, and improve reporting. This session presents the opportunities and challenges faced when paper-based processes are turned to digital methods and how it impacts data quality, reporting, and overall business efficiency.

1:00pm – 2:00pm 4th Floor Gallery
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Thursday, February 16 – Virtual Training Day

For future training opportunities, contact Chris Motteler or Gary Wallace


REDCap Basic Training

Presented by Chris Motteler, ITCS

9:00am – 10:30am

REDCap Intermediate Training

Presented by Gary Wallace, ITCS

1:00pm – 2:00pm

Qualtrics User Training

Presented by Gary Wallace, ITCS

3:00pm – 4:00pm

Friday, February 17

Are we talking about the same thing? How developing and using a data dictionary improves your data ecosystem

Presented by Jedediah Smith, Data Analyst, Office of Data Analysis and Strategy, BSOM

Every person has their way of interpreting, expressing, and understanding data. Those individual interpretations are helpful to each of us but create a barrier when we must communicate about data with each other. The adoption of data dictionaries helps us standardize and simplify the organization and management of data across multiple programs. This session will discuss why data dictionaries help and how to get started on the path to incorporating them into your local environment.

11:00am – 12:00pm 4th Floor Gallery
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Analyze electroencephalogram to understand the connectivity between different parts of the brain

Presented by Dr. Sunghan Kim, Engineering Department and Marwa Antar, Graduate Student, Biomedical Engineering

The functional connectivity analysis (FCA) enables us to understand how the brain works wholistically. Instead of analyzing individual EEG channels FCA examines the synchronization between the EEG channels. The between-channel synchronization can be measured based on the phase information extracted from EEG signals. The phase-based synchronization method is a robust way to estimate the functional connectivity of the brain. As cognitive declines manifest themselves as subtle pattern change in the brain’s functional connectivity, it is possible to monitor a subject’s cognitive functions via FCA.

2:00pm – 3:00pm 4th Floor Gallery
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