Ever wondered what it’s like to work at the library? We sat down to talk shop with one of our Part-Time Engagement Assistants, Jaidyn Smith, who has been with the Libraries since February 2022.
What’s your major and year in school?
I’m a Junior Communication Sciences and Disorders Student.
What’s a song that best describes you?
I would have to say Björk’s “Atopos – Side Project Remix” really connects with me. Like it’s really unique beat wise and that’s really how I would describe myself. I can never really be truly comfortable unless I’m pushing the bounds in some way.
What made you interested in working for the libraries’ engagement team?
From the moment I stepped onto campus, I looked for a way to help out at the Libraries. Growing up, I was always really into books and would go out of my way to surround myself with them whether it be volunteering at my high school library or winning bingo night at my local bookstore. Initially, I just would have been fine working anywhere but I think the Engagement Team is the perfect role for me. I love campus events and connecting with people and this allows me to do both.
What have been some of your favorite projects while working here?
The postcards event was super fun. It was a lot of work to create and I know the whole team put a lot of effort into it. I think the students really appreciated the opportunity to send a postcard. I also loved the Add-Your-Art Tapestry event. One of my favorite parts of the job is being able to connect with other students. It was nice to just be able to de-stress, talk about our lives, and see the students make some awesome art.
Is there a resource or service that the library offers that you wish more people knew about?
I think people could benefit from knowing all the different ways to access their class text. I know all my friends complain about paying a bunch of money for a book they only reference a couple of times and don’t use again after the semester ends. We have a huge eTextbook collection for a wide variety of classes. We also have Course Reserves where you can rent a textbook in the library for a period of two hours. If you need to use that textbook outside of the library, there’s a book scanner. Imagine all the money you could save.
Last Question – what’s your favorite book?
My favorite book right now has to be Hanya Yanagihara’s A Little Life. I think Yanagihara is masterful with her storytelling and really brings life to her complex, emotionally hurting characters. Reading the story has allowed me to connect to my emotions in a way I didn’t previously think a book could. A Little Life also introduced me to my favorite photographer Peter Hujar which is a cool bonus.
This blog post was written by Jaidyn Smith, Student Engagement Assistant at FSU Libraries.
Get back into those favorite habits with some Pop Lit Picks for the new year! With an entire genre selection on self help and inspiration, work on building your healthy habits with advice from some of the best authors and more. From simple goal setting and habit making advice, to digging into the harder topics like setting boundaries and confronting racism, below is a list of just a few of those helpful “Self Help” books we keep in the Pop Lit collection in Strozier Library. While January is winding down, 2023 is just starting – and it’s never too late to work on your goals!
James Clear, an expert on habit formation, reveals practical strategies that will teach you how to form good habits, break bad ones, and master the tiny behaviors that lead to remarkable results. He draws on proven ideas from biology, psychology, and neuroscience to create an easy-to-understand guide for making good habits inevitable and bad habits impossible.
Actress, vegan superstar, and “America’s Mom” Tabitha Brown offers inspirational life lessons in her warm, charismatic voice. For years Brown pursued acting while raising a family and dealing with undiagnosed chronic autoimmune pain. Before she became vegan, her condition made her believe she wouldn’t live to see forty. With her relatable personality and health struggles, approachable and nonjudgmental take on plant-based living, and warm voice reflecting her Southern upbringing, she shares with readers how to make a life for themselves that is rooted in kindness and love, both for themselves and for others. Brown roots her lessons in stories about her own life, career, faith, and family.
Each day we face a barrage of images and messages from society and the media telling us who, what, and how we should be. We are led to believe that if we could only look perfect and lead perfect lives, we’d no longer feel inadequate. So most of us perform, please, and perfect, all the while thinking, What if I can’t keep all of these balls in the air? Why isn’t everyone else working harder and living up to my expectations? What will people think if I fail or give up? When can I stop proving myself? In The Gifts of Imperfection, Brené Brown shares what she’s learned from a decade of research on the power of Wholehearted Living — a way of engaging with the world from a place of worthiness. In her ten guideposts, Brown engages our minds, hearts, and spirits as she explores how we can cultivate the courage, compassion, and connection to wake up in the morning and think, No matter what gets done and how much is left undone, I am enough, and to go to bed at night thinking, Yes, I am sometimes afraid, but I am also brave. And, yes, I am imperfect and vulnerable, but that doesn’t change the truth that I am worthy of love and belonging.
Michelle has always had a problem with the word “fearless.” Facing your demons doesn’t mean you’re fearless; it means you fear them, but you do it anyway! So for 100 days she faced 100 of her fears, and the message went viral. Written in Michelle’s hilarious, honest voice and driven through storytelling, expert interviews, and practical tools, Hello, Fears conveys the lessons she learned from facing each fear and inspires readers to make the right choice – the brave choice. For readers of Girl, Wash Your Face and 100 Days of Brave, Hello, Fears is a growth mindset personal development book for those who are ready to push past their comfort zone and embrace their fears
Chip Gaines is well known as a TV star (HGTV’s Fixer Upper), renovation expert, husband to Joanna, and father of 4 in Waco, Texas. But long before the world took notice, Chip was a serial entrepreneur who was always ready for the next challenge, even if it didn’t quite work out as planned. Whether it was buying a neighborhood laundromat or talking a bank into a loan for some equipment to start a lawn-mowing service, Chip always knew that the most important thing was to take that first step. We walk alongside him as he relives some of his craziest antics and the lessons learned along the way. His mentors taught him to never give up and his family showed him what it meant to always have a positive attitude despite your circumstances. Throw in a natural daredevil personality and a willingness to do (or eat!) just about anything, and you have the life and daily activity of Chip Gaines.
Healthy boundaries. We all know we should have them–in order to achieve school/work/life balance, cope with toxic people, and enjoy rewarding relationships with partners, friends, and family. But what do “healthy boundaries” really mean–and how can we successfully express our needs, say “no,” and be assertive without offending others?
“What happened to you?” Many of us experience adversity that has a lasting impact on our physical and emotional health. What happens to us in childhood is a powerful predictor of our risk for health problems down the road and offers scientific insights into the patterns of behaviors so many struggle to understand. Here, Winfrey shares stories from her own harrowing past and her understanding of the vulnerability that comes from facing trauma at a young age. Joining forces with Dr. Perry, one of the world’s leading experts on childhood trauma, Winfrey marries the power of storytelling with science and clinical experience to better understand and overcome the effects of trauma. The two focus not only a new understanding of people’s behavior but also on trauma’s effects on our own lives. It’s a subtle but profound shift in our approach to trauma that allows each of us to understand our past so that we may clear a path to our future – opening the door to resilience and healing in a proven, powerful way.
This enlightening and reflective guide studies the psychological impact of racism and discrimination on BAME (Black, Asian and Minority Ethnic) people and offers steps to improve wellbeing. It includes definitions of race, racism and other commonly used terms, such as microaggressions, and evaluates the effect of definitions used to describe BAME people. Each chapter of the book focusses on one category of wellbeing – self-acceptance, personal growth, purpose in life, positive relations with others, environmental mastery, autonomy – and includes case examples, spaces for reflection and practical, creative exercises. For use as a tool within counseling and therapeutic settings as well as a self-help tool by individuals, each category provides a framework for thinking about how to manage everyday racism, live with more resilience, and thrive.
Me and White Supremacy teaches readers how to dismantle the privilege within themselves so that they can stop (often unconsciously) inflicting damage on people of color, and in turn, help other white people do better, too. When Layla Saad began an Instagram challenge called #MeAndWhiteSupremacy, she never predicted it would spread as widely as it did. She encouraged people to own up and share their racist behaviors, big and small. She was looking for truth, and she got it. Thousands of people participated in the challenge, and over 90,000 people downloaded the Me and White Supremacy Workbook.
Not seeing one you like? Just type “self help” into the one search bar and narrow your search by location (on the left side of your screen) and choose the Popular Literature Collection.
Data literacy is the combination of a few unique skill sets: statistical literacy, information literacy, and technical proficiency. It also involves being able to visualize, critically evaluate, determine the accuracy and reliability of, and understand data sets. There are many reasons why it is important to be data literate, especially in recent years with the advent of the internet and social media. Data literacy is also crucial to many different industries and research areas. It is important to interpret the data that you are collecting to make sure that the results are accurate and to be able to understand that data so that you can create useful visualizations for others.
There are a variety of concepts to keep in mind when critically evaluating data. For example, you need to consider the methods that were used to collect the data and whether those methods are ethical. Furthermore, when evaluating how the data is presented, you need to consider whether that representation or visualization is the most accurate way to portray the data. Another particular topic of concern is bias. There are different points at which biases can be introduced, such as when data is collected, when it is analyzed, and when it is shared with the public. Also, if you are critically evaluating your own data, it is important to check that there are no biases within your own work. In this post we will be discussing the critical evaluation of data through the lens of data collection, data presentation and visualization, and data ethics.
In the context of data collection, several different collection methods can be used for research. Some of these methodologies, such as focus groups, surveys, and participant interviews, are familiar to the public at large. However, there are other specific data collection processes that many people outside of certain academic disciplines may not be aware of, such as web scraping/text mining, phlebotomy procedures for blood tests, observational behavior recording for time series data, and many more.
Consequently, not only is recording the data itself of importance for experimental duplication purposes, but it can also be important for interdisciplinary work. Some fields of research may have different research data collection methods that researchers in other fields may not be aware of, even across seemingly similar disciplines. For example, accounting and finance may seem similar but can have drastically different ways of interpreting monetary data. The way accountants and financial analysts calculate when a company is at a net zero (i.e., a break-even) between revenues and costs is different. Even within the same field of research, transparency with how data is collected is important for peer review – whether it be for ethics accountability or determining methodological flaws within research. An incomplete set of data can make it difficult or impossible to know whether or not the data was collected in a way to prevent bias, and further make it impossible to know if the data is accurate and/or precise.
Failing to document data and data collection methods can also create problems reproducing or using the data for further research, particularly if things such as question types, experiment conditions, and units of measure are not properly documented. For example, while the hypothetical idea of cold fusion (nuclear fusion performed at room temperature) would be a low-cost energy solution, the experimental methods and data were not recorded. As a result, the concept of cold fusion is now widely looked at with skepticism because none of the data was recorded! A less extreme case where incomplete data may cause research problems is that the way that a survey is constructed can bias responses. Therefore, documenting how a survey was written can be helpful in evaluating why a research study came to a specific conclusion, as well as testing whether or not changing questions or even question order would change results.
Furthermore, data cleaning – which is the process in which things such as incorrectly formatted data, corrupted data, etc are reformatted or fixed so that it can be used in analysis – can also contribute to statistical bias(es) via things such as eliminating outliers, accidentally losing a variable, how you decide to categorize your data, and more. Therefore, documenting how you clean your data is also a critical component of research – explaining what outliers you decided to keep or remove and why can help you and other researchers down the road. It is also important to consider the order questions are asked in and the way questions are worded when conducting surveys. While it might seem counterintuitive at first, the way that questions are ordered and worded can impact the percentages of people that respond in a certain way, whether or not potential participants qualify for research projects, and even the numeric values of the data itself.
Data Presentation and Visualization
Most have probably heard the phrase “label your axes” at some point, even before college. It is often mentioned in K-12 education, with the pretense being that someone will not know what your graph(s) are depicting without them. While this is indeed correct, labeled axes constitute only one of many different components of data presentation and visualization.
Figure 1: Axes that are labeled!
A good place to start on the types of ways that data visualizations can be best implemented would be The Data Visualisation Catalogue. While the site was originally established with graphic designers in mind, Severino Ribeccca himself stated “I felt it would also be beneficial to…anyone in a field that requires the use of data visualisation.”(Ribecca n.d.) As such, almost anyone who uses data typically has to consider how to visually communicate data in a way to an outside audience, or even the general public outside of the realm of academia. A nifty feature of The Data Visualisation Catalogue is that there is a way to filter recommended data visualization types by what concept you are trying to demonstrate.
One consideration when looking at a data visualization is whether the data is represented in a way that is appropriate for that specific data type. While it might not seem like the data presentation would differ between data types, certain visualizations will serve to more accurately and sufficiently depict different types of data. For instance, data related to time and Geographic Information Systems mapping produce distinct data types. While they can be combined and represented in the same graphic (i.e., how has the land of a certain area changed over time?), they both have their own distinct issues to consider to make sure that you are not creating misleading graphics. Namely, one cannot make a map with time data alone, and a map would be hard to make with a line graph that is meant to show trends in time.
Furthermore, the scales and units that are utilized in a data representation are also important considerations! Using our previous example, we can note that the visual scales of a map are different from the visual scales of time series data. For instance, you can get drastically different data visualizations if you transform data from a linear scale to a logarithmic scale (i.e., a scale that plots data based on what exponent would be needed to get your number back). This can be useful for situations where the data you are working with is so large that it is hard to see everything in an efficient way. For example, a logarithmic scale of time where millions of years are condensed into smaller numbers that are easier to conceptualize leads to graphs where you can see things like different geographical eras.
On a more human scale, while logarithmic data could be used to misrepresent data, a far more common tactic for misrepresenting data involves a truncated or broken axis on a graph (Figures 2a and 2b); a truncated graph deliberately not starting at zero on the y-axis, and a broken axis subtly skipping a large amount of units. This is a common tactic that is present in some graphics that news outlets might use, whether it is intentional or not. Some other characteristics of misrepresented data might be plotting two graphs that are not on the same scale or zooming your scale in to make a trend look far larger than it truly is.
Figures 2a and 2b: Graphical Examples of a graph with a broken axis and a graph with a truncated axis, respectively
While there are many examples of distinctly misleading graphs, there are also many graphs that accurately portray the data, but use an incompatible or inaccessible color palette. Related to this, many color palettes used in data visualizations can be inaccessible to those with vision impairments such as green-red and blue-yellow color blindness. Utilizing distinct color-blind friendly palettes can help to make visualizations more accessible. Furthermore, using alt-text descriptions of what the graph is showing enhance the ability of screen readers and other tools utilized by those with low-vision and blindness to interpret the visualization. Thus, being hard to see or just looking aesthetically displeasing does not make a graph misleading, and is an important distinction to make (although the two are not mutually exclusive!)
Figure 3: A “Painbow” Graph
When examining a dataset, it is also important to consider whether there are any biases present that may affect interpretation of the data. Two common categories of biases are cognitive biases and statistical/algorithmic biases. Cognitive biases involve individuals interpreting the results of a study to best fit a specific narrative. This may involve a data producer deleting data that does not fit the conclusion that they are trying to prove. At the same time, a data producer may also add data that is not accurate in an attempt to strengthen their claims. Furthermore, studies may be designed to collect data that only represents a small subset of a population, while claiming to be representative of the entire population.
Similar to cognitive biases, statistical/algorithmic biases describe the concept of bias as your sample poorly describing your population. In that context, it is significantly mitigated (if not outright eliminated) if your data collection methods are not generally or statistically biased. This is particularly noticeable when examining artificial intelligence (AI) algorithms. These algorithms are often trained with unequal datasets, which then leads to skewed results when performing data analysis with said algorithms. Therefore, when examining data that is outputted by an algorithm, one should consider whether the algorithm has been trained with accurate and equal data sets. An industry where statistical and algorithmic biases are extremely important to consider is the healthcare industry. For example, many hospitals use artificial intelligence to sort through patient data, which helps doctors determine who needs immediate emergency attention. While there are many benefits to such algorithms, there have been issues in the past because of them. In certain instances, if a patient has pre-existing medical conditions that affect their health, the algorithm will not be able to take that into account. In addition, many algorithms that are commonly used in healthcare systems are racially and gender biased. As mentioned in “Algorithmic Bias in Health Care Exacerbates Social Inequities — How to Prevent It” written by Katherine Igoe, “algorithms in health care technology don’t simply reflect back social inequities but may ultimately exacerbate them.” Igoe also mentions that certain prediction algorithms used for detecting heart diseases in the medical industry were biased in their design. For example, the “Framingham Heart Study cardiovascular risk score” worked very well for caucasion patients, but not for African American patients. This is due to the fact that around 80% of the collected data used for this algorithm was from caucasian patients. Utilizing such an unequal dataset to train the algorithm can lead to unequal care and treatment in medical practices (Igoe). This example is just one of the many examples of bias due to algorithm design.
Companies such as Amazon have also faced huge problems relating to algorithm bias. A few years ago, Amazon tried to utilize an algorithm that used artificial intelligence to hire new employees. However, it turned out that this algorithm was biased against women. This is because the algorithm was trained on resumes that were submitted during a time period where the number of male applicants was significantly higher than the number of female applicants. This ultimately caused the algorithm to be trained to favor men over women.
Critical evaluation of data is an extremely important skill set for any student or professional to have. Knowing the importance of checking the reliability, accuracy, and the bias in any data set is necessary when reading or working with data. Some questions to keep in mind are: is the collection method clear and documented? Is the data visualization appropriate for the dataset and for what the author is trying to represent? Is the data biased in the collection or visualization stages? It is important to evaluate data to ensure that we are using quality and accurate data to make sound decisions and conclusions.
Alessandro, Brian d’, Cathy O’Neil, and Tom LaGatta. “Conscientious Classification: A Data Scientist’s Guide to Discrimination-Aware Classification.” ..Org. Cornell University ArXiv, July 21, 2019. https://arxiv.org/abs/1907.09013.
Edwards, Brent D. 2019. “Edwards, D. Brent. “Best Practices from Best Methods? Big Data and the Limitations of Impact Evaluation in the Global Governance of Education.” Edwards, D. Brent. “Best Practices from Best Methods? Big Data and the Limitations of Impact Evaluation in the Global Governance of Education. 39: 69–85. https://doi.org/10.1108/S1479-367920190000038005.
Lavalle, Ana, Alejandro Mate, and Juan Trujillo. “An Approach to Automatically Detect and Visualize Bias in Data Analytics.” CEUR, Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020), 2572 (March 30, 2020). https://rua.ua.es/dspace/bitstream/10045/104029/1/2020_Lavalle_etal_DOLAP.pdf.
Loo, Mark van der, and Edwin de Jonge. Statistical Data Cleaning with Applications in R. Hoboken, NJ: John Wiley & Sons, Inc., 2018.
Mark, Melvin, Kristen Eysell, and Bernadette Campbell. “The Ethics of Data Collection and Analysis.” New Directions for Evaluation, 1999 1999, no. 82 (November 5, 2004): 47–56. https://doi.org/10.1002/ev.1136.
Paradise, Elise, Bridget O’Brien, Laura Nimmon, Glen Bandiera, and Maria Athina (Tina) Martimianakis. 2016. “Design: Selection of Data Collection Methods.” Journal of Graduate Medical Education 8 (2): 263–64. https://doi.org/10.4300/JGME-D-16-00098.1.
Silva, Selena, and Martin Kenney. “How Computing Platforms and Algorithms Can Potentially Either Reinforce or Identify and Address Ethnic Biases.” ..Org. ACM Digital Library, October 24, 2019. https://dl.acm.org/doi/fullHtml/10.1145/3318157.
The GEOSET Initiative at Florida State University (FSU) is the original branch of a global initiative focused on the advancement of scholarly communications in science, engineering, and technology. Located in Dirac 207, GEOSET specializes in providing media services to the entire FSU community.
How It Started
GEOSET—which stands for Global Educational Outreach in Science, Engineering, and Technology—was founded by Sir Harold Kroto in 2006 with the assistance of Dr. Colin Byfleet and Dr. Steve Acquah. The main goal of the initiative was to pave the way for researchers all over the globe to easily create and distribute informational, scientifically accurate content.
Sir Kroto figured the best way to get videos from the scientific community out into the world was to develop a fast, cost-effective way to put science videos online in one place. Back in 2006 when GEOSET was founded, YouTube was only a year old. A student couldn’t easily find videos of scientific lectures or fun, at-home experiments as easily as we can today. But Sir Kroto knew that wouldn’t always be the case. He had a concept he called the “GooYouWiki-World,” the idea that the internet—especially websites like Google, YouTube, and Wikipedia—were going to revolutionize how the world shares information and education content.
Knowing that we were moving quickly into this GooYouWiki-World, Sir Kroto founded GEOSET. The original GEOSET website became a place where researchers could share their passion and knowledge by uploading recorded lectures and lessons through a system hosted locally at their own university. GEOSET was not only for established researchers, however. Eager undergraduate and graduate students began sharing their scientific research activities on the website, widening the range of content offered and sparking the creation of a small recording studio in the Dittmer building here at FSU.
Sir Kroto shared his passion for educational outreach worldwide, inspiring many universities and educational organizations to join the GEOSET initiative. At one point, universities and researchers all over the world were contributing content to the site, from universities in the United Kingdom to Toyo University in Japan.
How It’s Going
GEOSET is still actively advancing scientific communications at Florida State University today. Activity is focused in the main GEOSET Studio, located in Dirac Science Library. The Studio was opened by Sir Kroto, Dr. Byfleet, and Dr. Acquah in 2012. While the library studio is not the first of its kind at FSU, the opening was an exciting moment as the new studio would be a more accessible place for people to make GEOSET-style content for free. It was such a big deal that Bill Nye came to celebrate the opening!
Providing the opportunity for presenters from all levels of academia to share their expertise and enthusiasm to a global audience has always been a major part of the GEOSET initiative. The studio continues this mission by providing FSU faculty and staff with the space and tools necessary to produce educational content for a wide audience.
GEOSET has recently expanded our team to further this purpose. With backgrounds in audio and video production, journalism, and universal design, we are fully equipped to assist in any project that helps advance academic communications, whether that be a video series, podcast, or other form of media. Our team here at FSU, along with partners throughout the world, are working to keep Sir Kroto’s vision alive.
How We Serve You
Ever wanted to start a podcast after realizing you could go on for hours about your research? Ever thought about a short video series explaining key concepts of your field? Or maybe outreach videos to include in your grant? GEOSET can help! All you need to do is visit our website and submit a project request. A team member will then reach out to schedule a consultation with you. During the consultation, we’ll get an idea of how we can help based on your time frame and preexisting skills. Whether you’re a seasoned pro or someone who’s never plugged in a microphone, we’ll help you come up with the best plan to complete your project. We can help revise your content, offer use of our professional studio and equipment, and assist with editing.
While the studio primarily serves faculty and graduate researchers, everyone at FSU is welcome and encouraged to reach out to us for help with their digital media projects. However, we also know that not everyone needs our resources to make fun educational videos or talk about their research. That’s why GEOSET is in the process of developing a space for everyone at FSU to use freely. Need a green screen for your short film or a quiet space to record your class presentation? This space is for you! The Media Suite at Dirac, coming this Spring, will allow anyone at FSU to create incredible audio and visual content with professional equipment. The best part is that you will be able to book the suite online like any other library space, giving you maximum flexibility to record and edit without having to go through the booking and consultation process required to use the main GEOSET Studio.
How You Can Keep In Touch
For updates on the upcoming Media Suite, follow FSU Libraries on this blog and other social media outlets. If you have any questions or are in need of project help, please visit FSU’s GEOSET Studio website. You may also feel free to visit us in Dirac 207, located just to the right of the circulation desk on the main floor. We’ll be glad to give you a tour or assist you any way we can!
This blog post was written by Sabine Joseph, GEOSET Studio Assistant at Dirac Science Library.
Happy Spring! With classes just starting, it’s a perfect time to do some reading for fun before the semester gets too busy. FSU Libraries has many popular and bestselling books from lists like the New York Times available for students to check out for free. With TikTok and the hashtag #BookTok on the rise, we’ve compiled a list of 10 trending books to help you find your next read!
All of these books are located in the Pop Lit collection in Strozier Library, which is just next to the Starbucks café area inside the library. We also have tons of popular YA titles available in Dirac Library. Check out the libraries’ catalog on our website to search for more titles, and even reserve books online for pickup!
Lily is overwhelmed with passion for the inflexible and proud Ryle. But her too-good-to-be-true romance is suddenly a lot more complicated when her first love, Atlas, suddenly comes back into her life.
From the #1 New York Times bestselling author of The Silent Patient comes a spellbinding tale of psychological suspense, weaving together Greek mythology, murder, and obsession, that further cements “Michaelides as a major player in the field” (Publishers Weekly).
Running into reclusive author Shane Hall at a literary event, bestselling erotica writer Eva Mercy, over the next seven days, reconnects with this man who broke her heart twenty years earlier until he disappears again, leaving more questions than answers.
This blog post was written by Alaina Faulkner, Student Engagement Associate at FSU Libraries.
Florida State University Libraries has named Neelam Bharti as its new Associate Dean of Research and Learning Services. She will start Feb. 3, 2023.
Bharti comes to Florida State from Carnegie Mellon University, where she served as the Associate Dean for Liaison Services and the Senior Librarian for Chemistry, Chemical Engineering, Material Science and Engineering since 2018.
In a university full of students, insane professors, and ‘gross’ dining halls, Amber (that’s me) will try to do the impossible: create a guide that will help you survive Finals Week.
Here are some top library resources to help you conquer those exams, projects, and what-feels-like-1000-page-long essays! Stay tuned for Finals Week Events at the end (and there’s FREE stuff!). Follow @fsulibraries on social media for the latest updates on services and events!
Check out FSU library hours!
This will ensure you’ll be able to plan ahead for your study grind, and hopefully not end up having a Strozier “sleepover” (all-nighter) the night before your exam.
Strozier offers free tutoring for chemistry, math, and physics every Sunday – Wednesday, 8 pm to midnight in-person and via Zoom. This will def help you because there are WAY too many numbers and letters involved 😛
Instead of heading to that (sketchy) house party down the street before finals you KNOW you have to study for, take advantage of study rooms and spaces! Invite your friends and hold each other accountable, too (despite how tempting that party may be lol). 2-hour group rooms can be booked on our website up to 3 days ahead of time. Check out a key for a 4-hour individual room at Strozier’s Scholar Support desk, or reserve one at Dirac online!
Don’t be shy (I’m serious: most, if not all of us, have experienced library anxiety) to stop by the Scholar Support Desk at Dirac or Strozier to check out books, laptops, cameras, and more!
Need any help with finding information for a research project (that you may or may not have procrastinated on) or finding (annoying) peer-reviewed sources? The Ask Us! service provides research and reference support through live online chat. Feel free to take a look back at theLibrary Hours page in Tip #1 for updated chat hours!
FREE Study Supplies (because us college kids love free stuff)
Tuesday, 11/29, 3:00-4:30pm @ Dirac
Thursday, 12/1, 3:00-5:00pm @ Strozier
Build-Your-Own Study Snack Mix (FINALS WEEK!!!)
Monday, 12/5, 3:30-5:00pm @ Dirac
Tuesday, 12/6, 5:00-6:30pm @ Strozier
This post was written by Amber-Lynne Jensen, Distance Library Services Assistant.
Disclaimer: This blog post was prepared by an undergraduate student, the opinions expressed in this article are to make light and fun during a stressful time! Based on the popular TV show, Ned’s Declassified School Survival Guide, this post lightly makes fun of some of our beloved campus buildings and is in no way an expression of the Libraries’ opinions.
The Midwest Data Librarian Symposium (MDLS) is an annual conference aimed at providing Midwestern librarians, as well as others across the United States, the chance to network and discuss several industry issues and topics related to research data management. This year the event was co-hosted by the University of Cincinnati, The Ohio State University, and Miami University, as well as virtually through online Zoom conference calls and presentations. With free registration to all participants, MDLS focuses on the goal of providing low-cost networking and educational opportunities for established professionals and developing librarians of the future. Relatively new to the environment of Research Data Management, I was eager to represent FSU and the entire state of Florida at the Symposium, being the only participant in attendance at the conference from the state. While I could not travel to participate in the in-person programming, the free registration allowed me to actively engage with the virtual conference presentations and events, like many others over zoom meetings.
Whether it was a zoom scavenger hunt or a presentation surrounding a less talked about subject, like “Making Infographics More Accessible”, I found that with each opportunity to engage I was able to learn something new and many things that I could bring back and put into practice in my own work. The presentations also left me with a lot to contemplate and consider, opening my eyes to information and concepts I had yet to broach or discover through my own work, like Digital Curation and Data Management for filmmakers and documentaries. For example, in the growing industry of filmmaking there are many times limited resources, especially for independent filmmakers, to effectively meet the costs to preserve their data. With barriers, like high memory file capacities, time constraints, and the threat of file corruption or loss of data, documentaries have a much more indirect path to successfully serve as critical sources of historical and cultural documentation.
The vulnerability of data collected in documentaries further illustrates the broader importance to take serious measures to securely store raw data, especially with its potential relevance to guide other research. Additionally, metadata’s pertinence in other research frameworks encapsulates the expansive benefits of open science and universal accessibility. Pressures of academic viability, publishing, and performance can direct researchers’ hesitancy to relinquish ownership and control of data. This exemplifies the utility and demand to create stronger avenues to motivate the open sharing of data even when it is imperfect or incomplete. Procedurally, sharing upon request protocols have been imperfect, to say the least, as the decision to distribute that data is left at the mercy of the Primary Investigator of the original research that was conducted, who may have internal or external factors that motivate, dissuade, or even obstruct their ability to share the data in a timely or consistent manner.
While there were a variety of different topics covered during the conference, several presentations were based around the new National Institutes of Health (NIH) Data Management and Sharing (DMS) policy that will come into effect at the beginning of 2023. More specifically, there were discussions about the effects of this new policy on data management and sharing, as well as how to prepare and instruct those in need of support to navigate through these changes at a university level. For one of the main presentations on this topic the authors conducted semi-structured interviews at their university to survey the research data service needs of their constituents, as well as to gauge and collect their perspectives in relational proximity to the new governmental regulations being put into place. These interviews produced a myriad of noteworthy and interesting observations to take away. Perhaps the most surprising theme to emerge was that many of the researchers and professors were unaware of or unworried about the policy changes, believing that they’d be able to adapt their research practices and proposals when the new year began. Others wondered about how strictly the new policies would be enforced, especially with loose criteria for what might qualify submissions as exceptions and with aspects of proposals not tied to scoring to motivate researchers to put more effort into adopting practices that promote open science. Additional implications of being able to recognize and remove protected health information further supports the importance of collaboration when it comes to properly following research assurance, protocols, and proper maintenance as well as storage of data.
These interviews revealed that many students and faculty across the country were uninformed and/or ill equipped to seamlessly handle this transitional phase that will take place in the coming months to comply with the new NIH DMS policy. Perhaps an even larger overarching takeaway that can be applied is that the general level of informational literacy is relatively low in association to student needs and the expectations that they must meet in order to perform adequately in their field. Adjustments are necessary to overcome the deficiencies in standard coursework that often operates on a foundational assumption that students will come into their academic institutions already having research skills and a working knowledge of information systems, catalogs, and databases. In most cases an established base of informational literacy is required to locate or know that library resources for these causes even exist. Libraries as well as universities more broadly must make an effort to publicly promote their services and resources more widely, while also making them more accessible to effectively address this dilemma. Without additional infrastructure to develop these skills, students have a much larger barrier to overcome the limitations embedded in the university academic framework. Taking levels of privilege into account with access to both technology and experience must also play a part in the organization of their practicum.
As always each institution has its own individual needs as well as priorities and is equipped with different resources to be able to develop the necessary systems and resources to provide its student body with enough support to navigate through all academic challenges. Conferences typically follow a shared academic code of free exchange that open science bases itself on principle. Just look at the public accessibility of most universities’ research guides that they produce and publish and one can truly get a sense of the collaborative instruction that academic libraries strive to achieve. The symposium offers an opportunity that amplifies this ideal, allowing different institutions to come together to cooperate and exchange different ideas through dialogue with similar like-minded individuals trying to reach mutual goals.
Preparing for the Midwest Data Librarian Symposium, my impression was that I’d simply be attending lectures where I’d experience most of the learning. However, in addition to some of the networking events and opportunities, the interconnectedness and interactive components of the entire conference made attending the symposium a much more well-balanced exchange of ideas and information. Moreover, MDLS hosted a slack channel to further promote ongoing discussions and networking, as well as archiving notes that all participants were given access to and permission to contribute as well for each presentation and event. In addition, many of the presentations that were longer than the five-minute rapid-fire “Lightning Talk” featured aspects of involvement from the audience, whether it was through discussion questions, breakout room consultations, or jam board collaborations to exchange ideas on different subjects. The integration of technology was applied seamlessly and improved the overall quality of engagement within the presentations and symposium as a whole. Attending this symposium gave me the chance to consider and discuss countless ideas to bring into practice with my own work. I am grateful for opportunities like these and experiences that enrich professionals at all stages in their careers with an academic environment of common interests and goals.
Author Bio: Liam Wirsansky is a second-year MSI student at Florida State University and the STEM Libraries Graduate Assistant at FSU’s Dirac Library. He currently serves as the President and Artistic Director of White Mouse Theatre Productions at FSU and acts as the Director of Research and Development for the Rosenstrasse Foundation. Liam loves the academic outlet that research has provided him as well as the opportunity to educate and assist students in the development of their information literacy skills.
If you have any questions regarding the Midwest Data Librarian Symposium (MDLS), please contact the organizers at firstname.lastname@example.org.
Some Helpful Resources That Were Shared at the Symposium:
As the temperature finally cools off and we experience the whisper of a new season, it’s time to find that perfect book to curl up with in a big cozy chair in a coffee shop or by a fireplace, if you have one. Cozy reads are, of course, different for everyone depending on the books they prefer, but for me they should involve a happy ending, an entertaining cast of characters, a classic who-don-it, and a cat if possible (usually in the real world, curled up on my lap).
Below is a list of cozy stories with elements of love, mystery, and magic for your long and chilly evenings ahead.
Waging a fierce competition for which they have trained since childhood, circus magicians Celia and Marco unexpectedly fall in love with each other and share a fantastical romance that manifests in fateful ways.
Unlucky-in-love artist Annabelle Britton decides that a visit to the seaside town of Portsmouth, New Hampshire, is the perfect way to get over her problems. But when she stumbles upon a smoky grey cat named Alastair, and follows him into a charming cottage, Annabelle finds herself in a whole spell book full of trouble. Suddenly saddled with a witch’s wand and a furry familiar, Annabelle soon meets a friendly group of women who use their spells, charms and potions to keep the people of Portsmouth safe. But they can’t prevent every wicked deed in town.
When professional house-sitter Lila Emerson witnesses a murder/suicide from her current apartment-sitting job, life as she knows it takes a dramatic turn. Suddenly, the woman with no permanent ties finds herself almost wishing for one. Artist Ashton Archer knows his brother isn’t capable of violence–against himself or others. He recruits Lila, the only eyewitness, to help him uncover what happened.
After working with bestselling crime writer Alan Conway for years, editor Susan Ryeland is intimately familiar with his detective, Atticus Pünd, who solves mysteries in sleepy English villages. His traditional formula has proved hugely successful, so successful that Susan must continue to put up with his troubling behavior if she wants to keep her job. Conway’s latest tale involves a murder at Pye Hall, with dead bodies and a host of intriguing suspects. But the more Susan reads, the more she’s convinced that there is another story hidden in the pages of the manuscript: one of real-life jealousy, greed, ruthless ambition, and murder.
THE RULES OF BLACKHEATH: Evelyn Harcastle will be murdered at 11:00p.m. There are eight days , and eight witnesses for you to inhabit. We will only let you escape once you tell us the name of the killer. Understood? Then lets begin..
Now he’d fled for a second time, to a city where he believed no one would recognize him, identity secure until confronted by Sara Olson. Maintaining cover demanded he stay away from her while at the same time getting close enough to find out how much she knew. This mission impossible caused him to leave his safe zone to obtain information crucial to keeping his secret …
Marlee Harper is the perfect girlfriend. She’s definitely had enough practice by dating her NFL-star boyfriend for the last ten years. But when she discovers he has been tackling other women on the sly, she vows to never date an athlete again. There’s just one problem: Gavin Pope, the new hotshot quarterback and a fling from the past, has Marlee in his sights.
Willow, the fluffy white Persian cat, gets more than she bargained for when she comes to live at the Nelson Police Station. Nat, the big tabby tom cat, takes her under his wing and starts teaching her the art of the police cat. Before she knows what hit her, Willow finds herself caught up in a web of intrigue, murder, and adventure that will take her to her limit and beyond. With the help of Nat and a curious collection of mysterious alley cats, Willow is on her way to discovering a depth of potential and excitement she never thought possible
This blog post was written by Dianna Bradley, Digital Library Center Metadata Specialist at FSU Libraries.
Did you know that you can access more than 700 research databases through FSU Libraries? What is your favorite database? And what databases do your peers or professors use? When Google Scholar appears to be everyone’s go-to, why do you need to use research databases? Let’s talk about it.
Hello, my name is Kyung Kim. I am one of the Social Science Librarians working at FSU Libraries. An important part of my job is to inform the faculty and students about where to search for and access the literature they need for their assignments, learning, instructions, or research. I checked the stats and found the top 10 most popular databases on the Libraries’ Database A-Z page from October 2021 to September 2022- here’s what I found!
Given the often seemingly endless hours you put into finding relevant articles or books for your research, knowing the pros and cons of the research databases and when to use which would enhance the quality of your academic life. Here are some quick tips on the top 10 databases!
Quick Tips! The Pros & Cons of the Most Used Databases
JSTORis a good place to access peer-reviewed journal articles or books in the humanities and social sciences, but be aware that it often does not provide access to the most current issues. If you are looking for the latest research findings or the most recent publications on a topic, do not settle with JSTOR. See if the recent issues of the journal are available through the Libraries; if not, we recommend you use our Interlibrary Loan service to get the articles for free.
A multi-subject database, the Academic Search Complete is a good starting place if you do not know where to search, and the goal of your search is to select a few good ones by checking the breadth and not the depth of the literature on the topic.
If you are looking for the most cited papers or hot papers on a certain topic or in a subject area published in reputable, cream-of-the-crop scholarly journals, the Web of Science is your go-to. This premium database is also great for identifying a bibliographic network of who cites whom, but the search interface is not too intuitive. Besides, if you are an Arts and Humanities major, this might not be the database your professors use highly.
Do you want to search multiple databases all at once? This so-called “federated search” is available at the EBSCOhost and ProQuest Databases. EBSCO and ProQuest are two of the leading providers of academic research databases where you can search scholarly articles, eBooks, images, reports, etc., from Anthropology to Zoology. Through the FSU Libraries’ EBSCOhost database, you can search 86 databases simultaneously, and at the ProQuest Databases, 92 databases. Use these databases when you are in the mode of searching for everything, everywhere, all at once.
But why bother when you only need articles or books published in your subject areas? The Top 10 List shows that FSU researchers tend to search the APA PsycInfo for psychology literature; the PubMed(NLM) for biomedical literature; the Business Source Complete for business, and the ERIC(ProQuest) for education.
Not on the Top 10 List, but the Social Science Premium Collection database is something social science dissertation or thesis writers might want to try. There you can search 55 databases in various social science fields simultaneously. The Libraries subscribe to many other specialized databases for the university community. Having free access to rich scholarly content through subscription databases is one of the privileges of FSU members!
So, when in doubt, ask your subject librarian to learn where to search first, what search terms to use, and how to get and organize the materials you need! The librarian might also give you time-saving tips, such as when to use extra caution in evaluating certain sources and how to take full advantage of Google Scholaras a springboard to discover hidden gems in the library databases. You can request a one-on-one research consultation with librarians and meet them online or in person.
Good luck and happy searching!
This blog post was written by Kyung Kim, Social Sciences Librarian at FSU Libraries.