L
VE DATA WEEK 2025 – February 17th-21st
Love Data Week is an annual event dedicated to inspiring data enthusiasts around the world to explore, use, and share their passion for data. It’s an opportunity to highlight the importance of data in our daily lives, education, and research, fostering a better understanding of how data can drive insights, innovation, and informed decision-making. As federal and foundation funders increase their focus on rigor and reproducibility, data management and sharing are more important than ever.
During Love Data Week, we promote the skills and knowledge necessary to handle data effectively and responsibly. It’s a time for everyone, from beginners to experts, to come together, discuss best practices in data management, engage in data sharing activities, and inspire one another to become better stewards of data.
Monday, Feb 17
Dr. Liz Mizelle, Department of Baccalaureate Education
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
This presentation offers an overview of biospecimen collection, emphasizing the unique aspects of field collection. It highlights the critical role of field-based sampling and examines how researchers manage both the successes and challenges that arise in real-world settings. Featuring a case study on urine collection from a mobile, hard-to-reach population, the presentation will provide strategies to maintain sample integrity, analyze in the field, and adapt to logistical obstacles.
Jed Smith, Office of Data Analysis and Strategy
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
Tidy Data is a way of structuring data so that the resulting tidy datasets are easily understood and analyzed by people and machines. Since all tidy datasets are structured similarly, tabular data using this standard are relatively simple to understand, utilize, and update. This presentation will focus on the creation of "tidy" datasets in spreadsheets which will improve data analysis using a variety of tools, like Microsoft Excel and R programming language. The presentation will consist of several sections, each comprising a short informational talk and an example to illustrate the content. The primary takeaway for attendees will be several proper examples of tidy datasets, a few examples of messy datasets, and how to tidy them to improve them during data preparation.
Tuesday, Feb 18
Dr. Hui Bian, Office for Faculty Excellence
Click this link to join (virtually)
This workshop is for people who don’t know much about Python. We will use Spyder in Anaconda to do programming. Spyder is an integrated development environment for Python (IDE). We will learn the interface of Spyder, how to read external data files into Spyder, data management (select cases and recode variables), how to get plots, and how to analyze data including Chi-square test, correlation analysis, t test, ANOVA, and linear regression analysis. Please go to the workshop webpage to download Anaconda and workshop materials.
Dr. Jessica Cooke Bailey, Center for Health Disparities and Department of Pharmacology & Toxicology
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
In this presentation, Dr. Cooke Bailey will provide an overview of the importance of genetic, clinical, and lifestyle data from people with different backgrounds for the study of complex disease genetics.
Wednesday, Feb 19
Chris Motteler, ITCS
Click this Microsoft Teams link to join (Meeting ID: 268 413 962 473, Passcode: Nf9yD6uj)
Gary Wallace, ITCS
Click this Microsoft Teams link to join (Meeting ID: 222 903 792 553, Passcode: mN66mx3w)
Gary Wallace, ITCS
Click this Microsoft Teams link to join (Meeting ID: 260 077 168 961, Passcode: Em2HU6jj)
Thursday, Feb 20
Dr. Kerri Flinchbaugh, University Writing Program
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
Plain Language Summaries (PLS) are incredibly effective science communication tools that allow researchers to reach a wider audience by summarizing their work in more inclusive and accessible ways. This presentation explores rhetorical aspects of these summaries along with specific strategies 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 public audience. Bring one of your own Abstracts and workshop it into a PLS!
Dr. Anne Dickerson, Department of Occupational Therapy
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
Current digital technology can capture the everyday driving behaviors of older adults and potentially be used to predict preclinical phase of Alzheimer’s Disease. With the advancement of preventative therapies, early intervention is needed to prevent or delay this progressive disease. This presentation will describe how the use of datalogger in participants’ vehicles captures driving behavior data, how the data is collected, stored, organized and analyzed. Outcomes from a study of 74 older adults in Greenville, NC will be highlighted and future research potential.
Friday, Feb 21
Dr. Whitney Moore, Department of Kinesiology
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
This presentation will introduce the different types of missing data and the evolution of handling missing data, including why multiple imputation and full-information maximum likelihood (FIML) are the best practice recommendations for reducing bias, increasing generalizability, and maintaining power of your sample size. The session will then finish with a brief introduction to how planned missing data design methodology – which is not anticipating attrition –actively reduces participant burden and optimizes data collection.
Dr. Ramiro Murata, Department of Foundational Science
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
This presentation will help i) Understand the effect of small molecules on virulence factors of C. albicans; ii) Identify the flavonoids with anti-HIV activity and iii) Understand the Influence of oral microbial metabolites on HIV infection.
Dr. Matt Walenski, Department of Communication Sciences and Disorders
Location: 4th Floor Gallery, Laupus Library (In person) OR join via live stream (click here)
This presentation will discuss two techniques for data processing and analysis of eye-tracking data for comparisons between healthy language comprehension and language comprehension in individuals with primary progressive aphasia. The first technique is growth curve analysis (comparisons of change over time in regression slopes). The second is curve fitting, which identifies the parameter values for a type of curve that matches the shape of the gaze data as a stimulus is processed. It will cover real examples from two recently published journal articles that employ these techniques.
UNCW Library and Research & Innovation will be co-presenting Love Data Week (February 10-14, 2025). A series of online workshops, panels, and spotlights about research data will be hosted throughout the week. For more details, please click here.
Please send us your feedback about the 2025 Love Data Week presentations. We’d love to hear from you!
If you have any questions about the presentations and workshops, please contact:
Jamie Bloss blossj19@ecu.edu
OR
Xiaolan Qiu qiux24@ecu.edu