Preprint Data Descriptor Version 1 This version is not peer-reviewed

Preprint: Data from a Systematic Review of Crowdsourcing of Research Data from Wildlife Tourism Photographs and Comments Shared on Social Networking Sites

Version 1 : Received: 21 August 2019 / Approved: 22 August 2019 / Online: 22 August 2019 (11:32:08 CEST)

How to cite: Simpson, G.D.; Walker, O. Preprint: Data from a Systematic Review of Crowdsourcing of Research Data from Wildlife Tourism Photographs and Comments Shared on Social Networking Sites. Preprints 2019, 2019080232 (doi: 10.20944/preprints201908.0232.v1). Simpson, G.D.; Walker, O. Preprint: Data from a Systematic Review of Crowdsourcing of Research Data from Wildlife Tourism Photographs and Comments Shared on Social Networking Sites. Preprints 2019, 2019080232 (doi: 10.20944/preprints201908.0232.v1).

Abstract

This data descriptor summarizes the process applied and data gathered from 50 publications/papers reporting on the use of photography generated by tourists, tour operators and members of the public, with a particular focus on the crowdsourcing of photographs through online platforms and social networking sites (SNSs) as a method of research for wildlife conservation and ecotourism. The papers were collected in a systematic literature review to inform a pilot study of the feasibility of using SNSs to crowdsource georeferenced photographs of endangered Bornean Pygmy Elephants (Elephas maximus borneensis) taken by ecotourists along the Lower Kinabatangan River region of Sabah, Malaysia. Papers were sourced using the Murdoch University Findit online-search tool to search over 100 databases, including Proquest, Scopus and Web of Science. The criteria for a paper to be included in the review (and shared via the dataset attached to this this data descriptor) were that it was peer-reviewed, published in English, between 1997 and the 31 December 2017, had the full text accessible online and reported on a study or studies that utilized photographs that tourists, tour operators and/or members of the public generated and shared via SNSs or online platforms.

Subject Areas

citizen science; crowdsourced data; ecotourism; natural Resource management; social media; photo-elicitation; photovoice; wildlife conservation; wildlife tourism

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