ocd impact analysis presentation gla mwiki 2015
TRANSCRIPT
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
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.
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)
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.
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
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
Which data?
• Total pagerequests• Monthly pagerequests• Months tracked• No. of items• Distinct items used• Times used
METHODS FOR MEAsuRING IMPACT
REUSE: What are we talking about?
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
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
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
RESULTS - general
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
RESULTS - general
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).
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
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
www.opencultuurdata.nl
@opencultuurdata#opencultuurdata
[email protected]@[email protected]@mbrinkerink
QUESTIONS/ THOUGHTS/ COMMENTS?