Maybe you’re on Twitter one day and search ‘#Statistics’ to look up some information for your Introductory Statistics course. Before you know it, you scroll through and see several tweets that are also marked with ‘#BigData’, and you’re left with more questions than you had when you started your search. Maybe you try to search for “big data” on Google, see the definition from Oxford, and are then left with even more questions:
How large is “extremely large?”
What kind of patterns, trends, and interactions are we talking about?
What isn’t big data?
Big data as a term has become synonymous with the growth of digital data and the glut of information available to researchers and the public. Furthermore, there is a growing interest by both the public and private sector in utilizing large datasets to provide insight into market trends and to improve decision making. However, the exact definition of big data is sometimes unclear and can vary widely depending on who you ask. Businesses, nonprofit organizations, government agencies, and academic researchers each view big data in a different context and with different goals for its use. (University of Wisconsin Data Science, n.d.)
Above: a Google Trends graph that shows the number of searches for the term “Big Data” from 2007 to 2017
In this blog post, we aim to provide clarity and insight into the origins and definitions of big data. We will also discuss the potential benefits and challenges surrounding big data. In doing so, we will provide some examples linking big data to applications or data that you may interact with on a daily basis.
Welcome to the third post in the Get Data Lit! blog series. This post will focus on my experience working as a STEM Research Data Services Associate with FSU Libraries during the 2020-2021 school year. In this role, I assisted with outreach and education to FSU students, groups, and organizations at Florida State University around STEM research data services.
My name is Paxton Welton and I will be graduating with a bachelor’s degree in Finance this semester. One question that you might have right from the start-why is a finance major working in a STEM-focused role?
When applying for jobs prior to this academic year, I knew I wanted a role that would challenge me and allow me to develop new skills. I believed that being the Research Data Services Assistant would provide me the appropriate level of challenge and opportunity that I was looking for. By and large, I believe that my experience provided me with just that. There was a major learning curve that I faced when I first started this role. While I had a grasp of the basics of data literacy and research data services, I quickly realized I did not know nearly enough to be able to properly speak to student groups about these topics. During the first few weeks of the fall semester, I spent a significant portion of my time getting a stronger understanding of data and everything FSU STEM Libraries had to offer to its students in regards to research data. By reading countless articles about data literacy and engaging in weekly discussions with my supervisor Dr. Nick Ruhs, the STEM Data & Research Librarian, I became confident in my working knowledge on these topics.
As the STEM Research Data Services Assistant, one of my main responsibilities was conducting targeted outreach to different student organizations across campus. When I first started this process I reached out specifically to STEM-focused groups. This process involved me initiating conversations via email with registered student organizations (RSOs) to introduce them to the research data services FSU Libraries offers them. In several cases, we were invited to meet and/or present synchronously to these groups. This gave us a chance to share more in-depth information about our services and just how valuable they are to students. It also gave students a chance to ask us any questions they may have. Getting the chance to directly interact with students and help them find the right resources to feel more prepared for their future was by far my favorite part of this role.
I also had the opportunity to contribute to data-related events hosted by FSU STEM Libraries. Two examples include Love Data Week in February and the Virtual FSU Libraries Data Services Quest in March. My involvement in these events allowed me to see the entire process of creating programming for students. I was able to sit in on brainstorming meetings, give my input on the marketing materials, and create content for the events.
One of my main focuses throughout this year has been to develop and create this blog series you are reading right now–Get Data Lit! The focus of this blog series was data literacy and its applicability to student’s educational experiences. As such, I had the chance to put into practice the new data literacy skills I learned in this role. I also had the opportunity to connect data literacy to real-world practice and explain the importance of critically evaluating data. Doing so made me realize just how important learning data skills are for my future career and education.
One thing that proved to be a common theme throughout all the work I was doing is that data is powerful and knowing how to work with it is even more powerful. From a career in law to a career in fashion, you are going to be working with data in some form. Learning how to critically evaluate data is going to give you the skills you need to stand out in the future.
By taking on a job in a discipline that I knew very little about, I was able to challenge myself and make the most out of this past year. From getting to work on student programming events to developing a blog series, I was constantly challenged and learning something new.
“Data is the sword of the 21st century. Those who wield it, the samurai.”-Jonathan Rosenberg
Data is all around us and we often interact with it in ways we don’t even realize. From using an app to mobile order our coffee to reviewing a chart provided in an article, data surrounds us and has become so intertwined with our lives. However, with the increasing amount of data available at our fingertips, it can be difficult to understand its meaning, accuracy, and relevance to our lives. This is the reason we decided to start this new blog series, Get Data Lit! We realize that data can be difficult to decipher and want to give you the tools to better navigate data you are faced with everyday.