Perspectives on Citizen Science Data Quality

Downs, Robert R.; Ramapriyan, H. K.; Peng, Ge; Wei, Yaxing

doi:10.3389/fclim.2021.615032

Cited by 23 publications

(10 citation statements)

References 59 publications

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“…This paper has also focused attention on ways in which persistent concerns about citizen science data have been addressed in the VRD program. The first of these concerns is scientific trust in citizen science data (Downs et al 2021). The solution adopted in VRD is to employ a form of itemresponse modelling to statistically quantify the ability of each participant, taking into account the difficulty of the images that they classified, and grouping them by ability levels.…”

Section: Discussionmentioning

confidence: 99%

Virtual Reef Diver: Enabling People to Help Protect the Great Barrier Reef

Vercelloni¹,

Santos–Fernández²,

Mengersen

2023

Citizen Science: Theory and Practice

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Two Sustainable Development Goals are focused directly on combating the impacts of climate change on coral reef communities: Goal 13, Climate Action (Take urgent action to combat climate change and its impacts) and Goal 14, Life Below Water (Conserve and sustainably use the oceans, seas and marine resources for sustainable development). Citizen science (CS) features prominently in a range of programs that have been developed to address the SDGs. One such program is Virtual Reef Diver, which is designed to help monitor the health of the Great Barrier Reef in Australia. This program engages citizen scientists in two ways. Scuba-divers are asked to take geo-coded underwater images of the reef and upload them to an online virtual reef. Members of the public across the world are then asked to classify these images with respect to key reef indicators such as coral. Through the lens of a Virtual Reef Diver event held as part of Australia's National Science Week 2021, we describe important features of this program that positively address common concerns about CS data, including the scientific trustworthiness of the data, the ability to incorporate these data with other more traditional data sources, and the quantifiable improvement in information about reef health using these data for management decisions. This demonstrates the important role that citizen science can play in achieving the SDGs by supporting the development of global policies for coral reef conservation.

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Section: Discussionmentioning

confidence: 99%

Virtual Reef Diver: Enabling People to Help Protect the Great Barrier Reef

Vercelloni¹,

Santos–Fernández²,

Mengersen

2023

Citizen Science: Theory and Practice

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“…However, before CS can be considered a legitimate scientific research method that produces reliable data supporting scientific and decision-making processes in various fields, including those related to monitoring water-related SDG targets, several challenges must be addressed (Burgess et al, 2017). As a positive sign for formulating a CS approach to monitoring SDGs, numerous studies have shown that volunteers can collect data of a comparable quality to professional scientists (Downs et al, 2021;Sullivan et al, 2014) Creating a proper workflow is crucial in all the CS-based projects which influence motivation and performance (Sprinks et al, 2017). This CS project for SDG 6 monitoring is framed with four stages, as shown in Figure 2.…”

Section: Framework Design and Discussionmentioning

confidence: 99%

Formulation of citizen science approach for monitoring Sustainable Development Goal 6: Clean water and sanitation for an Indian city

Baskaran¹,

Velkennedy²

2022

Sustainable Development

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The United Nations acknowledges that action in one of the 17 Sustainable Development Goals (SDGs) will impact outcomes in others and that development should interact the social, economic, and environmental sustainability. Many countries have prioritized goals and targets based on their current progress and the prosperity of their people. This article focused on SDG 6: Clean water and sanitation, especially the first two (6.1 and 6.2) out of eight targets. The author has considered SDG 6, a critical goal to focus on and achieve in Tirunelveli city municipal corporation. The study area is situated in the Tirunelveli district of Tamil Nadu, India's southernmost state. Citizen science (CS), also known as community science, has emerged as an effective method of collecting data and supporting a wide range of indicators from the SDG targets. The objective of this article is to utilize the benefit of the CS approach for monitoring the targets 6.1 and 6.2 pertained to drinking water and sanitation facilities respectively in the study area. The activities suggested for this SDG 6 CS project were framing the core question, identification of citizen scientists, data analysis, and action plan. College students, ward councilors, and community volunteers, referred to as three categories of citizen scientists, will collect household data for all 55 wards in the study area. The value of the collected data to various government agencies and monitoring organizations is also discussed.

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“…To ensure transparency and assist repository users in making informed decisions about data reuse, documentation of data quality and quality assurance measures performed at the level of individual datasets is necessary (Downs et al 2021;Peng et al 2022). Currently, the availability of data quality information is limited, whereas, ideally, it should be published in a machine-readable format, taking both researchers' and service providers' perspectives into account (Assante et al 2016).…”

Section: Data Quality Informationmentioning

confidence: 99%

Data Quality Assurance at Research Data Repositories

Kindling

Strecker

2022

Data Science Journal

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This paper presents findings from a survey on the status quo of data quality assurance practices at research data repositories.The personalised online survey was conducted among repositories indexed in re3data in 2021. It covered the scope of the repository, types of data quality assessment, quality criteria, responsibilities, details of the review process, and data quality information and yielded 332 complete responses.The results demonstrate that most repositories perform data quality assurance measures, and overall, research data repositories significantly contribute to data quality. Quality assurance at research data repositories is multifaceted and nonlinear, and although there are some common patterns, individual approaches to ensuring data quality are diverse. The survey showed that data quality assurance sets high expectations for repositories and requires a lot of resources. Several challenges were discovered: for example, the adequate recognition of the contribution of data reviewers and repositories, the path dependence of data review on review processes for text publications, and the lack of data quality information. The study could not confirm that the certification status of a repository is a clear indicator of whether a repository conducts in-depth quality assurance.

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Perspectives on Citizen Science Data Quality

Cited by 23 publications

References 59 publications

Virtual Reef Diver: Enabling People to Help Protect the Great Barrier Reef

Virtual Reef Diver: Enabling People to Help Protect the Great Barrier Reef

Formulation of citizen science approach for monitoring Sustainable Development Goal 6: Clean water and sanitation for an Indian city

Data Quality Assurance at Research Data Repositories

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