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Software and Tools for Researchers: Visualisation Tools

This LibGuide brings together, in one place, software and tools for researchers for digitisation projects and research data management.

Data Visualisation


Data visualisation allows users a way to understanding data by putting it in a visual context such as a word cloud, chart, graph, or layered on a map. 

Tools are listed alphabetically below - look to the column on the right to see some which have further guides / instructions.

Visualisation Tools




See Shawn Day's course material and tutorial:

See also UCD Library's guides at


See Shawn Day's course material and tutorial on Simile Exhibit at:



See Shawn Day's course material and tutorial:


Click on this image below to open the TimeLine

45 Years of Referendums in Europe 1972-2017 [Scroll down page and click on Load Content to see the TimeLine]

Social and Employment Impacts of the Covid-19 Pandemic The European Trade Union Institute (ETUI) created this busy timeline - filled with data and events

Mapping a World of Cities is another example of a Knight Lab Timeline

'Covering four centuries, these maps show how world cities changed alongside the changing art and science of cartography' This is a timeline of historical and vintage maps of cities around the world. The project is the result of a collaboration between ten U.S. map libraries and collections, including the David Rumsey Map Collection, the Library of Congress and the Harvard Map Collection.


TimeMapper from the Open Knowledge Foundation Labs is a platform combining temporal and spatial data through an innovative and interactive platform for discovery. It is open source software that offers you a unique and effective way of sharing your research data and exploring temporal and spatial patterns. It is an easy to use and powerful tool for creating integrated timelines and maps in minutes to tell interactive data-driven stories.

Utilising Google Docs as a simple data source, you can expose dates and locations in an engaging and interactive format for your own use as well as the external presentation of your research findings.

See Shawn Day's course material and tutorial: