Research into crowdsourcing methodologies for NH collections
Research into crowdsourcing methodologies for NH collections
Identify which digital image data are most appropriate for use with crowdsourcing. This work will draw on
experience with other citizen science crowdsourcing efforts, such as the Zooniverse (www.zooniverse.org)
project.
Work will focus on 1) the potential for crowdsourcing transcription of handwritten materials (e.g. specimen labels,
catalogue cards, letters and diaries), which contain a vast and untapped wealth of historical information about
the distribution, identity and origin of NH specimens and 2) image-based identification of unidentified specimen
by expert communities. The goals will be to develop a specification that supports these functions on a website
that hosts NH crowdsourcing projects. This specification will include a mechanism to integrate output with
existing social media sites, maximising the reach to interested parties.
