Taxonomy of Data Quality Metrics in Digital Citizen Science

Krishna Vaddepalli; Victoria Palacin; Jari Porras; Ari Happonen

doi:10.1007/978-981-19-7660-5_34

Taxonomy of Data Quality Metrics in Digital Citizen Science

Krishna Vaddepalli, Victoria Palacin, Jari Porras, Ari Happonen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Data quality is key in the success of a citizen science project. Valid datasets serve as evidence for scientific research. Numerous projects have highlighted the ways in which participatory data collection can cause data quality issues due to human day-to-day practices and biases. Also, these projects have used and reported a myriad of techniques to improve data quality in different contexts. Yet, there is a lack of systematic analyses of these experiences to guide the design and of digital citizen science projects. We mapped 35 data quality issues of 16 digital citizen science projects and proposed a taxonomy with 64 mechanisms to address data quality issues before, during and after the data collection in digital citizen science projects. This taxonomy is built upon the analysis of literature reports (N = 144), two urban experiments (participants = 280), and expert interviews (N = 11). Thus, we contribute to advance the development of systematic methods to improve the data quality in digital citizen science projects.

Original language	English
Title of host publication	Intelligent Sustainable Systems - Selected Papers of WorldS4 2022
Editors	Atulya K. Nagar, Dharm Singh Jat, Durgesh Kumar Mishra, Amit Joshi
Number of pages	20
Publisher	Springer Science and Business Media Deutschland GmbH
Publication date	2023
Pages	391-410
ISBN (Electronic)	978-981-19-7660-5
DOIs	https://doi.org/10.1007/978-981-19-7660-5_34
Publication status	Published - 2023
MoE publication type	A4 Article in conference proceedings
Event	World Conference on Smart Trends in Systems, Security and Sustainability - London, United Kingdom Duration: 24 Aug 2022 → 27 Aug 2022 Conference number: 6

Publication series

Name	Lecture Notes in Networks and Systems
Volume	578
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Fields of Science

Citizen science
Data quality
Data quality issues
Data quality mechanisms
Digital citizen science
Taxonomy
113 Computer and information sciences

Access to Document

10.1007/978-981-19-7660-5_34

Cite this

Vaddepalli, K., Palacin, V., Porras, J., & Happonen, A. (2023). Taxonomy of Data Quality Metrics in Digital Citizen Science. In A. K. Nagar, D. Singh Jat, D. K. Mishra, & A. Joshi (Eds.), Intelligent Sustainable Systems - Selected Papers of WorldS4 2022 (pp. 391-410). (Lecture Notes in Networks and Systems; Vol. 578). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-7660-5_34

Vaddepalli, Krishna ; Palacin, Victoria ; Porras, Jari et al. / Taxonomy of Data Quality Metrics in Digital Citizen Science. Intelligent Sustainable Systems - Selected Papers of WorldS4 2022. editor / Atulya K. Nagar ; Dharm Singh Jat ; Durgesh Kumar Mishra ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 391-410 (Lecture Notes in Networks and Systems).

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Vaddepalli, K, Palacin, V, Porras, J & Happonen, A 2023, Taxonomy of Data Quality Metrics in Digital Citizen Science. in AK Nagar, D Singh Jat, DK Mishra & A Joshi (eds), Intelligent Sustainable Systems - Selected Papers of WorldS4 2022. Lecture Notes in Networks and Systems, vol. 578, Springer Science and Business Media Deutschland GmbH, pp. 391-410, World Conference on Smart Trends in Systems, Security and Sustainability, London, United Kingdom, 24/08/2022. https://doi.org/10.1007/978-981-19-7660-5_34

Taxonomy of Data Quality Metrics in Digital Citizen Science. / Vaddepalli, Krishna; Palacin, Victoria; Porras, Jari et al.
Intelligent Sustainable Systems - Selected Papers of WorldS4 2022. ed. / Atulya K. Nagar; Dharm Singh Jat; Durgesh Kumar Mishra; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. p. 391-410 (Lecture Notes in Networks and Systems; Vol. 578).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Vaddepalli K, Palacin V, Porras J, Happonen A. Taxonomy of Data Quality Metrics in Digital Citizen Science. In Nagar AK, Singh Jat D, Mishra DK, Joshi A, editors, Intelligent Sustainable Systems - Selected Papers of WorldS4 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 391-410. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-19-7660-5_34

Taxonomy of Data Quality Metrics in Digital Citizen Science

Abstract

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Bibliographical note

Fields of Science

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