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Center for Digital History Aarhus



The purpose of CEDHAR is to bring researchers together in order to improve and develop knowledge of all the four key dimensions of digital history. This is crucial in order to uphold the quality in scholarly work at a time where digital processes are influencing everything from information retrieval to data collection to methods, publication and outreach in historical research. CEDHAR will provide scholars at ARTS with a clearly defined and highly visible arena for exploring and supporting work in all four dimensions:

1. Digital methods focuses on the use of digital approaches and supporting IT skills for research purposes.

2. Digital archives focuses on how the increased production and use of digital archives influence the nature of archival institutions and every-day research practices.

3. Digital history communication focuses on what the democratization of historical knowledge and uses of the past online means to historical research and outreach strategies. It strongly ties in with the work by danmarkshistorien.dk and nordics.info hosted in the department of History and Classical Studies.

4. New digital sources focuses on the new types of born-digital sources that historians increasingly need to handle, for instance the archived Web.


Tue 10 Dec
13:00-15:00 | 1485-123 (NobelSALEN)
CEDHAR Winter Showcases and Glögg
If you are wondering what to do the 10th of December between 13:00-15:00, wonder no more! We will celebrate the end of year showcases at CEDHAR. We will have our curiosity awakened in a friendly atmosphere - and there is going to be Glögg.


2019.02.04 | Ceremony / opening

Opening of Center for Digital History Aarhus

We are pleased to announce that the Center for Digital History Aarhus (CEDHAR) will have its opening event on 22 February 2019, 14:00-15:30.

2019.06.27 | News type

A Fundamental Succes!

Two days of hard work seemed to pay off as we each day during the workshop had some 20 participants who immersed themselves in everything from the structuring of data in Excel and Open Refine to visualization in R. Despite of the initial struggle, many participants went home with an expanded set of data skills. In short: A fundamental succes!