From Data to Visuals: Data Processing & Visualization workshop

We invite you to a library carpentry workshop focusing on data processing and visualization. The workshop will take place at the University of Oslo Science Library, as a satellite day to the VIRAK conference, on the 14th of June. This workshop is aimed at all kinds of library staff who would like to become more acquainted with data processing and visualization.

In academic libraries, rich catalog and library usage data is available, from which many lessons may be drawn. For instance, we may analyze usage of e-resources, find out which queries are most popular in the library catalog, or discover which geographical places are covered by a certain book collection. Visualization might be used for the research process itself, to discover trends in a large data set, or as a way to communicate results.

In this workshop, we introduce various tools and carpentry skills needed to work effectively with data analysis and visualization. Most datasets cannot be visualized without some processing, so the first part of the workshop will focus on processing data with OpenRefine.

During the second part of the workshop, we look at ways to actually visualize data. First, we will introduce the basics of data visualization, as well as tools suitable for data visualization. We will explore the possibilities of using pivot tables and visualization in Google Spreadsheets. We will also gain hands-on experience with RAWGraphs and, flexible visualization tools for datasets.

Two special guests from North Carolina State University Libraries in the United States will be attending the workshop and present some of their visualization activities: Mike Nutt (Director of Visualization Services) and Walt Gurley (Visualization and Digital Media Librarian).

  • Welcome and brief introduction to Library Carpentry
  • Brief introduction round organizers and participants
  • Data Processing using OpenRefine
  • Introduction to visualization and visualization tools
  • Lunch break
  • "Whatever works: applying a variety of tools for visualization projects" Mike Nutt and Walt Gurley, North Carolina State University Libraries
  • Visualizing library-related data using Google Spreadsheets, RAWGraphs and

The workshop is now full. If you would like to be added to a waiting list - please email Elin Stangeland:

This one-day workshop is free of charge.

Format: The workshop utilizes the Software Carpentry teaching methodology, involving short tutorials, practical exercises and ‘live’ activities. We will briefly touch upon programming to automate the process of data analysis and visualization, but we don't assume any prior knowledge.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed, which will be announced ahead of the workshop.

Installing OpenRefine

  • If using Windows, make sure you have Java Runtime Environment (JRE) installed.
    • If a UiO computer, install JRE (64 bit) from Software Center.
    • Otherwise, please install JRE from Oracle. Check "Accept License Agreement", then download the "Windows x64 Offline" file from the list (jre-8u131-windows-x64.exe).
  • Install OpenRefine 2.6-rc2 Release Candidate 2. For Windows: For Mac: openrefine-mac-2.6-rc.2.dmg. For Linux: openrefine-linux-2.6-rc.2.tar.gz.
  • Extracted the downloaded file. You might want to move the folder to your "Program files" folder for consistency, but you can also leave it where it is. Apart from that there is no installation step.
  • Check that you can start OpenRefine by opening "openrefine.exe" (or the corresponding file on Mac or Linux). If not working, you can try "refine.bat" instead.

Note: OpenRefine recommends using Chrome or Firefox over Internet Explorer. We therefore recommend having Chrome or Firefox installed.




Organized by the Visual Navigation Project with friends.

Publisert 6. apr. 2017 15:32 - Sist endret 18. des. 2018 12:38