Collaborative approaches to accessing and utilising historical citizen science data: a case-study with spearfishers from eastern Australia

2015 ◽  
Vol 66 (3) ◽  
pp. 195 ◽  
Author(s):  
Daniel C. Gledhill ◽  
Alistair J. Hobday ◽  
David J. Welch ◽  
Stephen G. Sutton ◽  
Matthew J. Lansdell ◽  
...  

Scientists are increasingly utilising non-traditional data to assist with defining biological baselines and for monitoring environmental change. These data present challenges not encountered with traditional, fit-for-purpose scientific data, including engaging with data owners, building trust and maintaining relationships, analysing and interpreting data collected under varying methodologies, and the possibility that data may not suit an intended purpose. Here we describe engagement activities undertaken with recreational spearfishers to collate and examine spearfishing club data collected from competitions held throughout south-eastern Australia from the 1960s until the present, representing one of the most extensive citizen science datasets for marine species in the region. The data proved suitable for demonstrating change in coastal fish communities, some of which were consistent with expectations given a warming climate over the period considered. With an attitudinal survey of divers we also asked about their experience of environmental change, and interaction with management over recent decades. Mutually beneficial outcomes include: collating and archiving significant data that may otherwise have been lost; improved understanding of spearfisher concerns and experiences; improved engagement between collaborators; and recognition of spearfishers’ desire for better engagement in science and management. Lessons learnt may be broadly applicable to improving collaboration between recreational fishers, citizen science groups, researchers and managers.

Author(s):  
Laura Ballerini ◽  
Sylvia I. Bergh

AbstractOfficial data are not sufficient for monitoring the United Nations Sustainable Development Goals (SDGs): they do not reach remote locations or marginalized populations and can be manipulated by governments. Citizen science data (CSD), defined as data that citizens voluntarily gather by employing a wide range of technologies and methodologies, could help to tackle these problems and ultimately improve SDG monitoring. However, the link between CSD and the SDGs is still understudied. This article aims to develop an empirical understanding of the CSD-SDG link by focusing on the perspective of projects which employ CSD. Specifically, the article presents primary and secondary qualitative data collected on 30 of these projects and an explorative comparative case study analysis. It finds that projects which use CSD recognize that the SDGs can provide a valuable framework and legitimacy, as well as attract funding, visibility, and partnerships. But, at the same time, the article reveals that these projects also encounter several barriers with respect to the SDGs: a widespread lack of knowledge of the goals, combined with frustration and political resistance towards the UN, may deter these projects from contributing their data to the SDG monitoring apparatus.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249755
Author(s):  
Olivier Burggraaff ◽  
Sanjana Panchagnula ◽  
Frans Snik

Many citizen science projects depend on colour vision. Examples include classification of soil or water types and biological monitoring. However, up to 1 in 11 participants are colour blind. We simulate the impact of various forms of colour blindness on measurements with the Forel-Ule scale, which is used to measure water colour by eye with a 21-colour scale. Colour blindness decreases the median discriminability between Forel-Ule colours by up to 33% and makes several colour pairs essentially indistinguishable. This reduces the precision and accuracy of citizen science data and the motivation of participants. These issues can be addressed by including uncertainty estimates in data entry forms and discussing colour blindness in training materials. These conclusions and recommendations apply to colour-based citizen science in general, including other classification and monitoring activities. Being inclusive of the colour blind increases both the social and scientific impact of citizen science.


PeerJ ◽  
2019 ◽  
Vol 6 ◽  
pp. e5965 ◽  
Author(s):  
Nirwan Sharma ◽  
Laura Colucci-Gray ◽  
Advaith Siddharthan ◽  
Richard Comont ◽  
René van der Wal

In recent years, the number and scale of environmental citizen science programmes that involve lay people in scientific research have increased rapidly. Many of these initiatives are concerned with the recording and identification of species, processes which are increasingly mediated through digital interfaces. Here, we address the growing need to understand the particular role of digital identification tools, both in generating scientific data and in supporting learning by lay people engaged in citizen science activities pertaining to biological recording communities. Starting from two well-known identification tools, namely identification keys and field guides, this study focuses on the decision-making and quality of learning processes underlying species identification tasks, by comparing three digital interfaces designed to identify bumblebee species. The three interfaces varied with respect to whether species were directly compared or filtered by matching on visual features; and whether the order of filters was directed by the interface or a user-driven open choice. A concurrent mixed-methods approach was adopted to compare how these different interfaces affected the ability of participants to make correct and quick species identifications, and to better understand how participants learned through using these interfaces. We found that the accuracy of identification and quality of learning were dependent upon the interface type, the difficulty of the specimen on the image being identified and the interaction between interface type and ‘image difficulty’. Specifically, interfaces based on filtering outperformed those based on direct visual comparison across all metrics, and an open choice of filters led to higher accuracy than the interface that directed the filtering. Our results have direct implications for the design of online identification technologies for biological recording, irrespective of whether the goal is to collect higher quality citizen science data, or to support user learning and engagement in these communities of practice.


2017 ◽  
Vol 162 ◽  
pp. 44-55 ◽  
Author(s):  
Jennifer A. Border ◽  
Stuart E. Newson ◽  
David C.J. White ◽  
Simon Gillings
Keyword(s):  

2019 ◽  
Vol 235 ◽  
pp. 226-235 ◽  
Author(s):  
Simon B.Z. Gorta ◽  
James A. Smith ◽  
Jason D. Everett ◽  
Richard T. Kingsford ◽  
William K. Cornwell ◽  
...  

2019 ◽  
Vol 6 (1) ◽  
pp. 102-111
Author(s):  
Audrey R. Taylor ◽  
Þórný Barðadóttir ◽  
Sarah Auffret ◽  
Annette Bombosch ◽  
Allison Lee Cusick ◽  
...  

Purpose The purpose of this paper is to provide a conceptual framework for using citizen science – defined as a data collection method through which non-professionals engage in contributing to authentic scientific inquiry – within the expedition cruise industry to contribute significantly to the collection of environmental data from hard-to-access Arctic areas. Design/methodology/approach The authors review trends in Arctic expedition cruise tourism and current needs in Arctic research and monitoring, and clarify where the expedition cruise tourism industry could have the most impact by providing data to the scientific community. The authors also compare the regulatory context in the Antarctic to that in the Arctic and discuss how these differences could affect the widespread use of citizen science. At last, the authors describe some general principles for designing citizen science programs to be successful on board, and highlight several existing programs that are being recognized for their contributions to a greater scientific understanding of the Arctic. Findings The authors find that citizen science data from the expedition cruise industry are underutilized as a tool for monitoring Arctic change. Numerous examples illustrate how citizen science programs on-board expedition ships can successfully collect robust scientific data and contribute to enhancing the knowledge and stewardship capacity of cruise passengers. Inclusion of citizen science data from the expedition cruise industry should be considered a critical part of international Arctic observing networks and systems. Social implications Active participation in Arctic citizen science by tourists on expedition cruise ships has many potential benefits beyond the collection of high quality data, from increasing passengers’ knowledge and understanding of the Arctic while on board, to affecting their attitudes and behaviors after they return home. Originality/value The potential for tourism to contribute to Arctic observing systems has been discussed previously in the scientific literature; the authors narrow the focus to citizen science programs in the expedition cruise industry, and provide concrete examples, in the hope that this will streamline acceptance and implementation of these ideas by researchers and tourism practitioners.


2020 ◽  
pp. 100446 ◽  
Author(s):  
Jorge Sicacha-Parada ◽  
Ingelin Steinsland ◽  
Benjamin Cretois ◽  
Jan Borgelt

2011 ◽  
Vol 4 (6) ◽  
pp. 433-442 ◽  
Author(s):  
Alycia W. Crall ◽  
Gregory J. Newman ◽  
Thomas J. Stohlgren ◽  
Kirstin A. Holfelder ◽  
Jim Graham ◽  
...  

2018 ◽  
Vol 75 (5) ◽  
pp. 1573-1582 ◽  
Author(s):  
S Brodie ◽  
L Litherland ◽  
J Stewart ◽  
H T Schilling ◽  
J G Pepperell ◽  
...  

Abstract Understanding the processes driving species distributions is a key question in ecology, yet obtaining pertinent data for many species can be challenging. Tag-recapture data from voluntary recreational fisheries programmes is an undervalued citizen science data resource and can provide valuable observation records for data-poor species. Here, we highlight the utility of such data by compiling four tag-recapture datasets (n = 20 878 tags) to describe the movements and distribution of a piscivorous predator, tailor Pomatomus saltatrix, with respect to their environment. We compared species distribution models that explored a trade-off between temporal duration and spatial extent. Both models revealed sea surface temperature (SST) was an important factor in describing the distribution and density of tailor. However, the model with broader spatial extent indicated a non-linear response to SST, peaking at 21.5°C, while the model with temporal longevity showed a linear SST response. This disjunct showcases the importance of building models across an adequate geographic extent to ensure covariate responses are not truncated. This is the first study to comprehensively describe the distribution and migrations of adult tailor across their eastern Australian distribution. The results are discussed in light of ocean warming along eastern Australia, and the subsequent implications for using tag-recapture data in fisheries management.


2021 ◽  
Vol 3 ◽  
Author(s):  
Alex de Sherbinin ◽  
Anne Bowser ◽  
Tyng-Ruey Chuang ◽  
Caren Cooper ◽  
Finn Danielsen ◽  
...  

Citizen science is an important vehicle for democratizing science and promoting the goal of universal and equitable access to scientific data and information. Data generated by citizen science groups have become an increasingly important source for scientists, applied users and those pursuing the 2030 Agenda for Sustainable Development. Citizen science data are used extensively in studies of biodiversity and pollution; crowdsourced data are being used by UN operational agencies for humanitarian activities; and citizen scientists are providing data relevant to monitoring the sustainable development goals (SDGs). This article provides an International Science Council (ISC) perspective on citizen science data generating activities in support of the 2030 Agenda and on needed improvements to the citizen science community's data stewardship practices for the benefit of science and society by presenting results of research undertaken by an ISC-sponsored Task Group.


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