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doi: 10.3897/biss.2.26803
Herbarium specimens hold a wealth of data about plants; where they come from, where they were collected and by whom. Once digitized, these data can be searched, mapped and compared. However, the information on specimens is often handwritten and even the best software systems cannot read it. This is where we get real value from citizen involvement. Digitizing these data is only possible with the aid of human intelligence. DoeDat is a multilingual open-source platform for transcription, based upon the DigiVol program of the Australian Museum and Atlas of Living Australia. DoeDat is a product of our digitization project Digital Access to Cultural Heritage Collections (DOE!), funded by the Flemish Government. DoeDat is about creating data and also, ‘Doe Dat’ means ‘do that’ in Dutch. DoeDat will help us digitize our collections, and will also give the public the chance to take an active part in the process. We aim to build a community of enthusiastic online volunteers who will help us liberate botanical data from specimen labels and documents. We launched the platform on Science Day and within two months, more than one hundred volunteers had transcribed more than 4,000 specimens. Join in at www.DoeDat.be
herbarium specimens, citizen science, crowdsourcing, volunteer programs, transcription
herbarium specimens, citizen science, crowdsourcing, volunteer programs, transcription
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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