Abstract
This paper gives an account of ETH Library’s combined strategy of implementing an open data policy and using crowdsourcing to improve metadata. Both activities go hand in hand and promote each other. ETH Library’s Image Archive was the first unit to provide content for free download in high resolution. This paved the way for a very successful crowdsourcing campaign during which citizen scientists located places, dated photographs, and identified people and artefacts. This positive experience led to further crowdsourcing activities in other ETH Library units. Important conditions for success apart from the open data policy were conscious community management by social media channels and promoting competition within a gamification approach.
Highlights
Citizen science has been discussed by policy makers and library associations as one important aspect of a global Open Science strategy. (Ayris & Ignat, 2018; Ayris et al 2018a; Ayris, López de San Román, Maes, & Labastida, 2018b; European Commission, 2018)
It presents the combined strategy of implementing an open data policy and using crowdsourcing to improve metadata, the latter corresponding to level one of participation and engagement according to Haklay’s typology (2013), or to a microtask in The Daily CrowdSource’s taxonomy (Simperl, 2015, p. 21)
PWA invited the head of the Image Archive to its Advisory board
Summary
Citizen science has been discussed by policy makers and library associations as one important aspect of a global Open Science strategy. (Ayris & Ignat, 2018; Ayris et al 2018a; Ayris, López de San Román, Maes, & Labastida, 2018b; European Commission, 2018). Citizen science has been discussed by policy makers and library associations as one important aspect of a global Open Science strategy. Open Data for the Crowd: An Account of Citizen Science at ETH Library (Haklay, 2013; Strasser & Haklay, 2018). This paper gives an account of one specific expression of citizen science at ETH Library. It presents the combined strategy of implementing an open data policy and using crowdsourcing to improve metadata, the latter corresponding to level one of participation and engagement according to Haklay’s typology (2013), or to a microtask in The Daily CrowdSource’s taxonomy
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