GLAMorousToHTML
Test story for embedding interactive datawrapper charts.
Outline of this article series on NDE-GLAMorousToHTML
Which DATA STORIES do I want to tell ?
Intended audiences
- NDE-network
- GLAM-Wiki-community
- Other data/glam/science professionals
Aim of this aticle series, what messages do I want to covey?
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Vier groepen datavioz
- IMAGES -
- ARTICLES -
- INSTITUTIONS -
- LANGAUGES -
Topics/outline story 1 // Introduction
- Overall intro : glams digitise images, they want to images to be seen py as many peole as pooosb, public outreach out. Wikipedia is very effective vehicle to sprea yur image arounmd the worls (as can be seen im the GLAM report) , and have them seen by many people, as WP is a very wll visited website
- Felt the need to get more inssights/understaning into how collection are used via WMC and WP
- What things are relevant to measure –> see 9 points in README –> key figures
- Method: GLAMorousToHRML Tool
- Explain about catyegory TREEES, and that the not always are accurate capturing pure COLLECTION-related images –> see section I alread wrote
- Startted experiments by KB report, see aricle below
- then USA, Scandinavia an NZ & Austrlaoa
- Scaled up to NDE, the Netherlands
Topics/outline data story 2 - focuissed on articles & languages
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Explain about what NDE is, and partners Visuialisaties obv Obv data/nde/aggrgated/excelfile..
- Created reports for all NDE-partners that have presence on WMCommons. Precense can be from Image contributed both by glam itself (example) and the wiki-commuinty members (give eamples), or a mox of both. -> see section I alread wrote
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Use of collection images in templates, thumbs of Van Gogh used to ilustrate all WPaertiocles about art (bv van Gogh museum) –> Van Gogh as a meta-icooneeld voor alle schilderkubnst (vgl de natuurkuindige Einstein als icoon-beedel voor alle wetenschappers) of zie /site/nde/ImagesfromtheTropenmuseum_Wikipedia_NS0_04092024.html, sjabllon linkonder elke pigina -> see section I alread wrote
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Zoom in on NDE reports- Wikipeia articles & languiages
- article tiopics and institutins: it is not very surpriseing to see images from the van Ggh museum being used in articles rlated to van Gogh
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Which surprisuing articles are there, of which you don not expext right away that an instutition can prvide illustrations about that topic?
- Datawrapper visualsatiew maken voor - obv data/aggregated/all_NDE_partners_Wikipedia_NS0_04092024.xlsx
- Voor elke NDE-instituut: varietein in grootste taalversie, totaal aantal talen, zoom in op de top 5 van meest voorkomedne talen –> zegt iets over internationaal bereik –> korte analyse
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Raw data used as input for this Datawrapper visualisation
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- Wele GLAMS hebben het meeste aertiekel in het Engels, NLS, Frans en andere talen…s
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Breakdon per laguange - For English Wikipedia, wha are te top 10 of NE partners –> gedaan
- IMAGES - Top 10 og most used image across all NEd partners –> Image of Karl Marx from IISG? Or imaage thumbs in template contamindatee articles?
Topics/outline data story 3 - zoom in on key figures
Zoom in on NDE key figures - see datawrapper stuff below
Related articles by myself
- KB specific
- Reuse indicators for KB images in Wikipedia and Wikimedia Commons, the 2023 update, January 2024.
- Three reuse indicators for KB images in Wikipedia and Wikimedia Commons, in a historical perspective (2013-2022), December 2022.
- Public outreach and reuse of KB images via Wikipedia, 2014-2022, December 2022.
Wikimedia image reuse key figures - NDE partners
Raw data used as input for this Datawrapper visualisation
Columns explained:
- Full institution name: The full/official name of the institution
- Full report URL: Link to the full report.
- Excel URL: Link to the corresponding Excel file. This file shows which exact images are used per article.
- Commons category: The main category on Wikimedia Commons containing the images related to the (collections of the) institution.
- Category depth: The level of subcategories that are taken into account. 0 = no subcategories, only images in the main category are used; 1 = all first level subcategories, etc.
- Total images available: The total number of images available in the main Commons category and its tree of subcategories, as specified by the category depth.
- Distinct images used: The unique/distinct number of images from this category tree that are used in Wikipedia articles (all language versions).
- Image reuse percentage: The percentage of the available images that are actually used in Wikipedia articles. This is ‘Distinct images used’ divided by ‘Total images available’. This is a measure for the uptake of the images.
- Unique WP articles: The number of unique/distinct Wikipedia articles (all language versions) that are illustrated by (one or more) images from the category tree.
- Number of WP languages: The number of Wikipedia language versions in which images from the category tree are used.
- Total usages: The total number of times that images from the category tree show up in Wikipedia articles, in all language versions. This is different from ‘Distinct articles’, as a single image can illustrate multiple articles and v.v., one article can contain multiple images.
- Average image reuse: The average number of times a single image is used to illustrate an article. This is ‘Total usages’ divided by ‘Distinct images used’. This is a measure for the outreach effectiveness of the images that are used in Wikipedia articles. For example, if we look at the Wereldmuseum Rotterdam, we see that only 3 of their images show up in articles 79 times, resulting in an average image reuse of 79/3 = 26.33. These couple of images are very effective in their reach and are seen worldwide! At the other end of the spectrum is the Rijksdienst voor het Cultureel Erfgoed; their 23.471 distinct images ‘only’ have 31.955 usages, making this number equal 1.36.
1. IMAGES - Number of collection images available on Wikimedia Commons - NDE partners
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Raw data used as input for this Datawrapper visualisation
1. IMAGES - Image reuse percentage - NDE partners
Raw data used as input for this Datawrapper visualisation
2. ARTICLES - Number of unique WP articles ilustrated by NDe parnte images - NDE partners
Raw data used as input for this Datawrapper visualisation
This chart says sometg9nh abiout th NUMBER of langueage, but doeis nor details which langagues , zoom in op de top 5 van meest voorkomedne talen –> zegt iets over internationaal bereik
4. LANGAUGES - Number of languages
Raw data used as input for this Datawrapper visualisation
1. IMAGES - Average image reuse
- Average image reuse: The average number of times a single image is used to illustrate an article. This is ‘Total usages’ divided by ‘Distinct images used’. This is a measure for the outreach effectiveness of the images that are used in Wikipedia articles. For example, if we look at the Wereldmuseum Rotterdam, we see that only 3 of their images show up in articles 79 times, resulting in an average image reuse of 79/3 = 26.33. These couple of images are very effective in their reach and are seen worldwide! At the other end of the spectrum is the Rijksdienst voor het Cultureel Erfgoed; their 23.471 distinct images ‘only’ have 31.955 usages, making this number equal 1.36.