As researchers from across multiple disciplines grapple with the challenges of COVID-19, the open science movement and its themes of sharing well-curated, reusable data and conducting research collaboratively and transparently appear more relevant than ever. Advocates argue that open science can accelerate discovery, enable rapid and robust peer-review, and enhance the public impact of research.
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.
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.
Collaboration is at the heart of the cutting-edge research and teaching that has put Carnegie Mellon University at the forefront of technological and social innovation. In the day-to-day workflow of research, this can mean the sharing of ideas or the results of analyses that come from spontaneous conversations with benchmates and office neighbors. Teaching is often a naturally collaborative endeavor as well, with students working together in the classroom and on client-based experiential projects.
Information and updates supporting the creation, dissemination, use, and preservation of the research data, creative works, and other scholarly outputs that weave together the fabric of your research. Read more about SCONE
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.