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Redmap: large-scale approaches to ecological monitoring and community engagement through citizen science

Citation

Pecl, GT and Stuart-Smith, JF and Brians, M and Bray, D and Burgess, M and Jackson, G and Moltischaniwskyj, N and Rowling, K and Sheaves, M and Walsh, PH, Redmap: large-scale approaches to ecological monitoring and community engagement through citizen science, Book of Abstracts, 2015 Australian Citizen Science Conference, 23-24 July 2015, Canberra, Australia, pp. 90. (2015) [Conference Extract]


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Abstract

Participants in citizen science projects have the capacity to record observations of their environment with high precision and accuracy, however, challenges remain in making large-scale collection and verification of species data by the (potentially) untrained public a robust long-term endeavour. Redmap (Range Extension Database and Mapping project, www.redmap.org.au) invites members of the Australian public to submit photographs and data about unusual observations of marine species made while undertaking marine activities like fishing, diving, boating, and beachcombing. Citizen science projects aimed at ecological monitoring can be programs that have a small number of highly trained contributors where the data obtained can be as accurate as that from professional scientifically trained observers, through to those with a comparatively larger number of contributors but with a (generally) lower level of training. Projects that operate at a larger scale, and without extensive formal training of contributors, are often criticised regarding the scientific rigour of observations submitted. Adoption of such datasets may be hindered by a perception they are of low quality in comparison to those collected by scientists. Redmap has designed a distributed data verification system to allow a ‘managed crowdsourcing’ of scientists for data verification and processing of every observed submitted. Each species in the Redmap database is linked directly to one or more of 80 scientific experts around the country and each observation location (provided by the user) is compared to the pre-identified and pre-defined distribution for a species. The Redmap model provides a unique and semi-automated framework for efficiently collecting, collating, verifying, sharing and utilizing geo-referenced species observational data.

Item Details

Item Type:Conference Extract
Keywords:Redmap, climate change, citizen science
Research Division:Environmental Sciences
Research Group:Ecological Applications
Research Field:Ecological Impacts of Climate Change
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Effects of Climate Change and Variability on Australia (excl. Social Impacts)
Author:Pecl, GT (Associate Professor Gretta Pecl)
Author:Stuart-Smith, JF (Dr Jemina Stuart-Smith)
Author:Walsh, PH (Mr Peter Walsh)
ID Code:118454
Year Published:2015
Deposited By:Centre for Fisheries and Aquaculture
Deposited On:2017-07-12
Last Modified:2017-07-17
Downloads:0

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