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Introducing the Data Extract

Welcome! The Data Extract is the Marriott Library’s all new, weekly research data management newsletter, brought to you by your research data librarians: Madison Golden and Kaylee Alexander. Each week we will be sharing:

  • A data management tip of the week
  • Upcoming events on campus and beyond
  • The “Data Dispatch,” covering research data news
  • “UR (Utah Research) Data,” sharing an open access dataset from The Hive
  • A list of resources from around the U to meet all your research data management needs
Tip of the Week
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Always be sure to check if your current storage location is optimal for your current research project. It’s important to consider file sizes, data sensitivity, cost, and collaboration.

  • See our library guide for a breakdown of storage options.
  • The Information Security Office has a quick and easy matrix to help researchers select the best storage location for their research data as they complete their work.
Upcoming Events and Opportunities
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Red "U" logo followed by the red letters "CHPC" on a black background, representing the University of Utah's Center for High Performance Computing.
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  • Who: Kaylee Alexander for REd (Research Education)
  • Where: Zoom (sign up HERE)
  • When: 2pm–3pm
  • What: Working with Edward Tufte’s theory of data graphics, this class will cover best practices in graphical communication for creating effective data visualizations. Topics to be addressed include the data-ink ratio, accessibility, pre-attentive processing, cognitive load, visual emphasis, and misleading visualizations.

Tuesday, October 24th: Introduction to Data Analysis with Python (via DELPHI / Carpentries)
– Recurring on Tuesdays and Thursdays from October 24th–November 16th

Friday, October 27th: Using Python at CHPC

Monday, October 30th: Hands-on Intro to R, part 1 (via CHPC)

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Wednesday, November 1st: Deadline to submit presentation proposals for the 8th Annual Digital Humanities Utah Symposium

Data Dispatch: Research Data News
UR Data: Hive Dataset Spotlight

In honor of the changing colors of our forests and falling leaves, this week’s spotlight is on Kailiang Yu’s dataset, “Pervasive Decreases in Living Vegetation Carbon Turnover Time Across Forest Climate Zones (PNAS)”!

Abstract excerpt: “Forests play a major role in the global carbon cycle. Previous studies on the capacity of forests to sequester atmospheric CO2 have mostly focused on carbon uptake, but the roles of carbon turnover time and its spatiotemporal changes remain poorly understood. Here, we used long-term inventory data (1955-2018) from 695 mature forest plots to quantify temporal trends in living vegetation carbon turnover time across tropical, temperate, and cold climate zones, and compared plot data to eight Earth system models (ESMs).”

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