Thesis by Kræn Vesterberg Hansen: “This thesis addresses a strategic challenge at National Museum of Denmark to engage with external people, interested in contributing information about their collection of more than half a million coins and medals. This approach of getting outsiders to help with the completion of many small tasks are popularly known as crowdsourcing. This entails a need for the transcription of handwritten protocols, establishment of references between of entries in protocols and photographs of coins. These coins also references both structured and non-structured metadata.
Does a digital platformfor crowd engagement, in the museum’s context, exist? And how is such a platform integrated with the existing infrastructure of the museum? The report considers the MediaWiki, Amazon’s Mechanical Turk and Zooniverse’s Scribe transcription interface, and finds that the MediaWiki fits approximately 70% of the requirements.
Existing cases of successful crowdsourcing projects, national as well international is mentioned and the solution builds upon APIs of existing infrastructure components (such as the existing collection management system GenReg Mønt and the Canto Cumulus digital asset management system) in a modular and reusable architecture.
The report approaches the challenge in a three part process, greatly inspired by the software process model of “Reuse-oriented software engineering” proposed by Professor of Software engineering at the University of St Andrews, Ian Summerville.”
Crowdsourcing platform for museums
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