Who else here gets inordinately excited over notebooks? Any time I walk into a bookstore or stationary store, I immediately head to the notebooks. While I’m not sure I’ve ever actually filled up an entire notebook, a quick walk around my house will reveal dozens of notebooks with drawings, poems, meeting notes, photographs glued to the pages, recipe clippings, and a variety of other things. Paper notebooks are wonderful! But, the focus of today’s Tartan Datascapes post is on a situation where paper notebooks may not be the best thing for you: in your research environments.
Tartan Datascapes is a blog featuring snapshots of the data landscape across the entire Carnegie Mellon University campus, including students, staff, and faculty from the College of Fine Arts to the School of Computer Science. Each installment of Tartan Datascapes features an individual researcher or research team, highlighting how their work contributes to the broader datascapes of CMU, as well as special features on tools and educational opportunities at CMU Libraries to support research data management. Our students, staff, and faculty from across the spectrum of domains are doing amazing work with data at our institution, and Tartan Datascapes is a great place to read about this work!
Featured with each blog are quick tips for managing your data through research data management (RDM) techniques, and information on how the University Libraries can assist you with your myriad data needs through workshops, outreach, and consultations!
For more information about Tartan Datascapes or to request a feature of your research, teaching, or coursework, please contact Dr. Hannah Gunderman, Research Data Management Consultant, at firstname.lastname@example.org
Hello Datascapers! In today’s Tartan Datascapes, I have the privilege of collaborating with Angelina (hereafter Lina) Spotts, our Metadata Specialist at CMU Libraries, to provide what I believe is the most creative, unique installment of the blog since its inception in September 2019! Now, Lina and I have quite a bit in common. We both enjoy talking about data management. We both like using examples from popular culture to teach technical concepts.
Hey Datascapers! Full disclosure: today’s blog post is going to be short and sweet, as a transformer blew in our neighborhood causing everyone to lose power, so I’m working against the clock (i.e. my computer battery) to make sure readers get their regularly scheduled, high-quality Tartan Datascapes content! It’s going to be a tough job, but it’s worth it for all you awesome readers.
I want to tell the story of my own personal data management disaster. The year is 2013. It’s a Friday night, and I am in the GIS (Geographic Information Science) Lab at the University of Wyoming, where I am working on my Master of Arts in Geography/Environment and Natural Resources. My thesis is due in a week, and I am trying as quickly as I can to make the maps that my advisor has requested to be included in the thesis. I’m tired. I’ve got some tea with me, but the caffeine isn’t helping anymore.
If I gave you $100 to build a lemonade stand, it is reasonable that I would want to see the finished product to know how the money was spent. Further, if that $100 was given to me by members of our neighborhood, it is also reasonable that they might want to see the finished lemonade stand too! This is the premise of open science (or, more broadly, open research).
Yes, a Plant Can Totally be a Dataset: Takeaways from the Spring 2020 Course “Discovering the Data Universe”
The last time I talked about the “Discovering the Data Universe” course on Tartan Datascapes (check it out here if you missed it!), my colleague Dr. Emma Slayton (Data Curation, Visualization, and GIS Specialist at CMU Libraries) and I were in the final stages of planning the course.
Think back to the last time you read a comic book. How did you do it? Did you read it straight through from the first page to the last page? Did you first skim through it to get a general idea of the content? The last comic book I read was the manga Paradise Kiss (it’s brilliant, if you haven’t read it!), and I read it in the same way that I read all other comic books: I read the text in the speech bubbles and look at the illustrations in the panels. Most people reading this blog probably read comic books in a similar way!
Researcher Highlight: Slayton and Benner Ethnographically Explore the Role of Libraries in Geography and GIS Education
At Tartan Datascapes, one of my goals is to expand how we think about data - how they are collected, what they look like, and how we organize them. While I love all types of data, I have a special place in my heart for ethnographic data. Ethnographic data come from ethnographies, a research method which involves collecting data through conversations and observations with other groups.
In this week's installment of Tartan Datascapes, I want to talk about survey data. Have you ever received a follow-up survey after you’ve gone to a workshop or an event? Be honest - do you fill it out? If your answer to the second question is no, I’m not here to shame you (promise!), but I am here to show you how those surveys can be very useful data sources for the people who sent them to you!
Hi Datascapers - I'll refrain from saying "I hope everyone is doing well!" as I feel it's a bit of cold comfort right now. It's perfectly valid to not be doing well right now, and to be feeling a host of emotions. Did you know that Counseling and Psychological Services (CaPs) at CMU has some special resources for navigating emotions around COVID-19? Click here to learn more about the ways you can find support.