STEM Data Fellow Spotlight: Diego Bustamante

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For Love Data Week 2022, we are highlighting our FSU STEM Libraries Data Fellows! These posts, written by the fellows themselves, tell their stories of how they became interested in data-related work and their experience as a data fellow to this point. Today’s post is contributed by Diego Bustamante.

Prior to my role as a Data Fellow, my idea of what data is was defined by my previous work with quantitative data collected from laboratory experiments. For example, when I worked as a Research Assistant I recorded quantitative data for chemistry experiments, like mass, temperature, volume, etc. I then conducted statistical analysis on the data in order to draw conclusions from each experiment. I personally enjoy collecting and analyzing data, especially because it can lead to many scientific and technological advancements!

While searching for jobs in FSU’s NoleNetwork in summer 2021, one job title that immediately caught my attention was “FSU STEM Libraries Data Fellow.” The job description was unique amongst other jobs offered on campus. As a data fellow, I was offered the opportunity to develop several professional skills in data reference, co-hosting programming language workshops, writing and publishing blog posts, and many more. I felt like it was a great opportunity and a good fit with my previous experience and skills, and so I decided to apply. Thankfully, I was selected as one of the inaugural data fellows, leading to a journey of professional and personal development that has thus far surpassed my initial expectations. 

One of my first tasks in the program was meeting with different librarians at FSU Libraries. In these meetings I was able to learn about different methods and applications for data analysis in a variety of disciplines. For example, I learned that the Digital Humanities Librarian uses a text-mining software to find specific words from books published in the 1800s. She used the data drawn from the software to analyze certain traits of the story by counting the amount of times a character participates in an interaction of this type. This experience helped me realize that qualitative data sets can be used to draw similar conclusions about a study as quantitative data. 

Another concept that I have become familiar with while working as a Data Fellow is open data. We discussed this concept during a workshop where we talked about the potential benefits of making research data openly accessible to the wider research community. Initially, I was hesitant regarding the concept of open data, because I saw academic research as a “race” to find a solution to a given problem. However, further discussion of how researchers are compensated for sharing their data made me realize that it is possible to benefit from open data on a personal and global level. 

Currently, I am still learning about the many different types of data, its definitions, applications, and its importance. I am also working on developing an open source Canvas module on MATLAB where I explain the basics of the math based programming language in a student friendly manner. I look forward to sharing more about this work in the future!

STEM Data Fellow Spotlight: William-Elijah Clark

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For Love Data Week 2022, we are highlighting our FSU STEM Libraries Data Fellows! These posts, written by the fellows themselves, tell their stories of how they became interested in data-related work and their experience as a data fellow to this point. Today’s post is contributed by William-Elijah Clark.

It’s hard to say exactly when I first got interested in data. After all, my mother was a statistician, so I’ve always been surrounded by data since I was in elementary school — from Arkansas Department of Health public health and mortality statistics to Disney World focus groups and market research. Personally, I started liking statistics when I took UCF’s equivalent to QMB 3200 and Econometrics. This experience extended into being a research assistant at UCF, and even into conducting and monitoring surveys at Universal Orlando Resort! Through my Econometrics course and from additional professional development opportunities at Universal, I was also able gain experience with R (although I didn’t learn it to the extent that I would call myself a professional data analyst or a data scientist.)

Due to the COVID-19 pandemic and subsequent lockdowns in Orlando back in 2020, I decided to go back to school here at Florida State University for Statistics, especially considering that FSU has a SAS coding certificate! Overall, I came to Florida State University with over two years of professional survey experience between academia and hospitality industry work.           

I spent time in 2020 taking calculus courses and statistics electives here at FSU to hone my data analysis skills further. I then saw an opportunity to apply for a FSU Libraries data fellowship beginning in Fall 2021. I decided to apply, as this position would give me the opportunity to utilize some of the skills I obtained from my previous positions and coursework at UCF and FSU, and hopefully develop some new skills to further myself in my goals of becoming a data analyst (and hopefully even an econometrician).

So far in my fellowship here at FSU Libraries, I have had the opportunity to gain some experience with MATLAB and SQL through the Data @ Your Desk workshops at Dirac, as well as some experience writing surveys in Qualtrics (as opposed to just conducting and monitoring surveys). I’ve also had the opportunity to learn more about citation management, library research, and data management. I’ve even been able to explain concepts for MS Excel to a patron via the online “Ask a Data Librarian” feature on the FSU Libraries website. This all said, I’m looking forward to applying some of my previous R coding and statistical analysis skills to some survey data for FSU Libraries this semester.

Love Data Week: Data is for Everyone

By: Dr. Nick Ruhs


It’s once again time for Love Data Week!  LDW is a yearly, international outreach event taking place the week of Valentine’s Day (February 14-18 this year). The week is focused on promoting good data stewardship and best practices around working with and interpreting data. LDW was started in 2015 and is currently celebrated by academic libraries and data organizations around the world. While every institution celebrates in their own way, common activities include data workshops, social media outreach, and more! 

Each year, a theme is chosen around which organizations can theme their Love Data Week activities. For 2022, the theme is “Data is for everyone.” This year, we are shining a light on the “people-side” of data, and on how different folks use and interact with data. Data often means something different to everyone, and how someone interacts with data varies based on their chosen discipline, research project, life experiences, and their own beliefs and values. There are also often inherent biases that exist in data collection, analysis, and interpretation, which can affect one’s own impression of a dataset. Despite these differences, the ability to critically evaluate data and interact with it is a universal skill that is crucial for everyone. 


Research Data Services: Vital data skills for future career and academic growth

By: Paxton Welton and Nick Ruhs


Welcome to our second post in the Get Data Lit! blog series. This post is inspired by the theme of Love Data Week (Feb. 8-12), “Data: Building a Better Future.” Here we will focus on the research data services provided by FSU Libraries and how utilizing these valuable services can have positive effects on your future research, learning, and career prospects.  While the focus of this post is primary undergraduate students, much of the information we provide below is useful for students at any stage of their academic careers.