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INDIGO Graffiti Terminology Database

<p>In the existing body of graffiti literature&mdash;both popular and scholarly&mdash;many attempts have been made to describe or structure graffiti-related terminology.&nbsp;The&nbsp;<strong>INDIGO Graffiti Terminology Database</strong> collects&nbsp;graffiti-related terms and their definitions&nbsp;as they appear in the glossaries, dictionaries and various controlled&nbsp;vocabularies consulted within&nbsp;project INDIGO.</p> <p>This dataset currently holds <strong>2134 definitions</strong>&nbsp;(1728 in English, 303 in German, 61 in French and 42 in Italian) from <strong>48 sources</strong>, made available via:</p> <ul> <li>a text-based *.txt file where all the values are tab-separated;</li> <li>a Microsoft Office Excel *.xlsx&nbsp;spreadsheet file, which also provides extra information about the sources consulted.</li> </ul> <p>Although the amalgamated terminology sources are, in one way or another, suboptimal to organise&nbsp;knowledge on graffiti terms, this dataset&nbsp;has helped shape <a href="http://vocabs.acdh.oeaw.ac.at/indigo/Thesaurus">INDIGO&#39;s Graffiti Thesaurus</a>. In addition, it can be a useful resource for anyone who wants to compare how different authors define the same term. Future expanded versions of this dataset will also be incorporated into an <a href="https://www.sqlite.org/index.html">SQLite database</a>&nbsp;to enable easier interaction with&mdash;and control of&mdash;all the data.&nbsp;</p> <p>More information about the INDIGO Graffiti Thesaurus and the different ways to organise&nbsp;terms can be found in the paper:&nbsp;Schlegel, J., Carloni, M., Wogrin, S., Graff, A.M., Verhoeven, G.J., 2023. <em>Making a mark&mdash;Towards a graffiti thesaurus</em>, in: document | archive | disseminate graffiti-scapes. Proceedings of the goINDIGO2022 international graffiti symposium, Vienna, Austria. 11-13 May 2022. Urban Creativity, Lisbon, pp. 203&ndash;219. DOI:&nbsp;<a href="https://journals.ap2.pt/index.php/indigo/article/view/710">10.48619/indigo.v0i0.710</a>.</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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