Early presentation on the Impact analysis of Dutch cultural heritage material on the projects of Wikimedia

1. Impact Analysis of Dutch GLAM Collections on
Wikimedia Projects
Jesse de Vos (Netherlands Institute for Sound and Vision)
The Hague, April 11th
, 2015
t: @OpenCultuurData | #opencultuurdata

2. WHAT IS OPEN CULTUUR DATA?
Open Cultuur Data is a network of professionals from the
cultural industries, developers, designers, IPR-experts and
open data experts. It opens up cultural data en stimulates de
development of new applications.
By doing so culture in the broadest sense is made accessible
for a larger audience.
Open Cultuur Data is initiated by Open State Foundation,
Kennisland and the Netherlands Institute for Sound and
Vision.

3. HOW?
Open Cultuur Data supports the cultural heritage sector in the
release of culture data in the following way:
•encourage making more open culture data available
•collecting and disseminating open culture data via
an open digital infrastructure
•collecting and sharing knowledge and experience with open
culture data  through masterclass
•encouraging the making of new applications based on open
culture data  through a competition (e.g. Wiggle)

4. CHALLENGE OF MEASURING IMPACT
• Evidence (statistical) for the value that is created
based on open data is still rare (especially in the
GLAM domain) and predominantly anecdotal.
• Often difficult for institutions to differentiate between
their online collections in general and the parts that
are open.
• By its very nature, open data/content can be
distributed without limits, through many different
channels making its usage inherently hard to track
and trace.

5. IMPORTANCE OF MEASURING IMPACT
• Report to higher management
• Increase the allocation of resources towards
opening up data
• Compare and evaluate ‘content-strategies’
IMPORTANCE OF entral data collection
• Wikimedia chapter can set targets
• USP’s of cooperation become clearer
• Comparable results

6. METHODS FOR MEAsuRING IMPACT
• Tools
– Baglama:
• Pagevisits
• No. of pages containing items
– Glamorous:
• Use on Wikipedia and other Wikimedia projects
• No. of items used in pages

7. Which data?
• Total pagerequests
• Monthly pagerequests
• Months tracked
• No. of items
• Distinct items used
• Times used

8. METHODS FOR MEAsuRING IMPACT

9. REUSE: What are we talking about?

10. THE DATA
• Data as far back as 2010
• Data from 24 Dutch institutions, a total of 27
collections, traced as categories on
Wikimedia Commons.
• Structurally measured since Nov. 2014

11. RESULTS - general
• Total of almost 1.8 billion
measured pagerequests!
• Almost 60 million monthly
visits
• 580.000 items available
(2% of total)
• 76.000 (13%) items used
• Used 100.000 times
• On average 27% of
category used

12. RESULTS - general
• Total of 141 monthly
pagerequests for
each uploaded file
• Total of 2160
pagerequests for
each unique item
used in one or more
articles

13. RESULTS - general

14. RESULTS - Specifics
• High scores
– Nationaal Archief
– Rijksmuseum
– Tropenmuseum
– Beeld en Geluid
• Large quantity of
reused items is no
guarantee for many
pagerequests:
Reused
items
Pagerequests
Peace Palace
Library
103 708.405
Amsterdam
Museum
1.128 686.739
RCE 11.272 1.125.254
Tropenmuseum 11.191 7.507.401

15. RESULTS - general

16. RESULTS - Specifics
• From December 2014 until February 2015
reuse increased by 3.4%
• Items in some collections get used as many
as four times on average. (e.g. Beeld en
Geluid Wiki and Anefo, both containing
portraits of famous people).

17. Challenging collections
A.B. Wigman, 1931. CC-BY-SA Collection
Gemeentearchief Ede
Abraham Bloemaert, 1619.
Collection University Library
Nijmegen
Anselmus van Hille, Hommes
Illustrés, 1717. Collection
Peace Palace Library

18. Interpretation of results
• Which data we can still get:
– Types of content (age, subject matter, quality, etc.)
– Number of events organized to stimulate reuse
– Data for just the Netherlands
• Which data we would like to get:
– Number of human visits
– Bounce rate
– Mediaview statistics

19. www.opencultuurdata.nl
@opencultuurdata
#opencultuurdata
jdvos@beeldengeluid.nl
@85jesse
mbrinkerink@beeldengeluid.nl
@mbrinkerink
QUESTIONS/ THOUGHTS/ COMMENTS?