Supportive Tools and Datasets

During the Visual Navigation Project, a number of supportive tools were created, and a number of datasets were gathered. These are available on this page.

1. Supportive Tools

1.1 Gathering and analyzing usage data

These tools were created during the Visual Navigation Project as ways to ease collecting fully anonymous usage data, and analyzing that data, without being dependent on commercial parties.


For capturing user interaction data with our touch applications, we created our own microservice for collecting analytics data. Among on other things, this has been used in combination with the XIMPEL framework. It can be downloaded here:

Python analysis script for Microticks data

Abel Prize app heatmap

A script was made made to create analyses of usage data gathered using Microticks:

1.2 Extensions of the XIMPEL framework

XIMPEL is an open-source framework for interactive media, which was utilized during the Visual Navigation Project.

XIMPEL kiosk tools and tricks

This set of tools and tips contains idletracker.js (for automatically resetting an application to the main menu after a set interval) and some tricks for using Ximpel as a kiosk platform:

XIMPEL overlay editor

A simple tool for creating XIMPEL overlays has been made, on the basis of The source code can be downloaded here:

A basic user guide for the overlay editor is available here:

1.3 Other

Cover generator

This is a small package for generating generic book covers that can be used with online book displays, etc. in cases where no original cover is available:


2. Datasets

2.1 Papers

'More than Meets the Eye' – Analyzing the Success of User Queries in a Library Discovery System (2018)

The dataset for our NORIL paper containing a query analysis can be downloaded here:

The Collection in a New Light – Towards Visual Exploration and Navigation of Academic Library Resources (under review)

This dataset will be available upon publication of the paper.

  • (Pending upload to Github)

2.2 Further datasets

Other datasets, such as the UiO catalog data in JSON format are available upon request.

Publisert 9. mai 2018 12:27 - Sist endret 18. des. 2018 12:38