More and more archives and other historical collections
are wanting to digitise their data nowadays. To be able to do this
efficiently, a good tool is needed which can handle historical
data. The European QVIZ project, coordinated from HUMlab, has
developed a program which can structure and visualise this
historical data quickly and easily.
The QVIZ project (Query and context based visualization of
time-spatial cultural dynamics) began in 2006 and is largely
financed by funding from the EU's Sixth Framework Programme (FP6).
The project was completed in 2008 and had a turnover of some SEK 22
million. The project included participants from the United Kingdom,
Estonia, Spain, Sweden and Austria. The purpose of the project was
to create a program which could easily and clearly sort and
visualise digitised historical data such as digitised 19th century
The QVIZ platform can be used to display data from various
historical databases in a range of ways and also to share it in
social forums. The program is now used for handling data as part of
the SEAD and SHiPS project, among
QVIZ displays data in several different
- In a dynamic map: the program shows the geographical areas
relating to the archive data. It is also possible to monitor how
administrative divisions have changed over time.
- With the aid of finely tuned searches: Researchers themselves
can use QVIZ to work on the basis of time and space and so filter
their searches further in order to capture the correct data.
Historical databases often include enormous data volumes with huge
numbers of parameters, and specialist knowledge may be required in
order to extract precise data directly from the database. The QVIZ
system makes it possible to query these complex databases more
- Via a timeline: As well as being able to display data from a
specific geographical location, it is also possible to display data
from a certain time or time span; an innovative timeline.
- Via researchers' own bookmarks, or via the bookmarks of other
researchers: the aim of QVIZ is not only to present data, but also
to build up new knowledge. Researchers interested in a specific
topic can structure and mark up the data they have retrieved out of
the system. They - or other researchers in the same field - can
then go back and use the data whenever they like.
Find out more at: http://qviz.eu/