Taxonomy in Citizen Science

na analysis of key terminologies

Authors

DOI:

https://doi.org/10.5433/1981-8920.2024v29n1p172

Keywords:

Citizen Science, Collaborative Taxonomy, Public participation, Types of initiatives

Abstract

Objective: The goal of this study is to create a Taxonomy for Citizen Science, classifying and categorizing concepts related to the area.
Methodology: The research used the Knowledge Development Process Constructivist (ProKnow-C) methodology, which involves selecting a bibliographic portfolio and analyzing the concepts. The process includes three phases: bibliographic portfolio formation, filtering, and representativeness testing. The search focused on terminologies related to Citizen Science, using keywords such as Citizen Science, Participatory Decision Making, Civic Technologies, and Citizen Innovation.
Results: The systemic analysis identified gaps in the literature and proposed five new concepts for the Open Science Taxonomy. These concepts are: Amateur Scientists, Community Scientists, High-Tech Science, Participatory Mapping, and Machine Learning.
Conclusions: The terminologies identified in this study contribute to the broadening of knowledge about citizen science and highlight the relevance of citizen participation in the scientific process. The proposed Taxonomy facilitates understanding and communication between researchers and professionals involved in the field, reinforcing the importance of collaboration between scientists and citizens for the advancement of science.

Downloads

Download data is not yet available.

Author Biographies

Fabiano Couto Corrêa da Silva, Universidade Federal do Rio Grande do Sul - UFRGS

PhD in Information and Documentation Knowledge Society from the Universitat de Barcelona (UB), Barcelona, Espanha. Professor of the Postgraduate Program in Information Science at the Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brasil.

Amanda Santos Witt, Universidade Federal do Rio Grande do Sul - UFRGS

Master's degree from the Postgraduate Program in Information Science at the Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brasil.

Lucas George Wendt, Universidade Federal do Rio Grande do Sul - UFRGS

Master's degree from the Postgraduate Program in Information Science at the Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brasil.

Rene Faustino Gabriel Junior, Universidade Federal do Rio Grande do Sul - UFRGS

PhD from the Postgraduate Program of the Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP). rofessor at the Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brasil.

Laura Regina do Canto Leal, Universidade Federal do Rio Grande do Sul - UFRGS

Master's student in the Postgraduate Program in Information Science at the Universidade Federal do Rio Grande do Sul (UFRGS). Professor at the Escola Estadual de Ensino Fundamental Vera Cruz, Porto Alegre, Brasil.

References

AFONSO, Maria Helena Fernandes et al. Como construir conhecimento sobre o tema de pesquisa? Aplicação do processo ProKnow-C na busca de literatura sobre avaliação do desenvolvimento sustentável. Revista de Gestão Social e Ambiental, São Paulo, v.5, p. 47-62, 2012. DOI: https://doi.org/10.24857/rgsa.v5i2.424

ALBAGLI, Sarita. Ciência cidadã e os desafios para a sua consolidação no Brasil. História, Ciências, Saúde-Manguinhos, Rio de Janeiro, v.21, n.1, p.59-76, 2014.

Álvarez-Miño, L., & Montoya, R. T. Taxonomy for citizen actions on public health and climate change: a proposal. Revista De Saúde Pública, 55, 119. 2021. Disponível em: https://doi.org/10.11606/s1518-8787.2021055003823 DOI: https://doi.org/10.11606/s1518-8787.2021055003823

AMARASINGHE, Ishari; MANSKE, Sven; HOPPE, H. ULRICH; SANTOS, Patricia; HERNANDEZ-LEO, Davinia. Using Network Analysis to Characterize Participation and Interaction in a Citizen Science Online Community. In D. Hernández Leo, R. Hishiyama, G. Zurita, B. Weyers, A. Nolte, & H. Ogata (Eds.), Data, Privacy, and the Impact of Technology (pp. 174-183). Springer. 2020.

CITIZEN SCIENCE ASSOCIATION. Citizen Science: What is it and what are its benefits?. 2018. Disponível em: https://citizenscience.org/what-is-citizen-science/. Acesso em: 11 fev. 2023.

COUSINEAU, Matthew. Community, Competition, and Citizen Science: Voluntary Distributed Computing in a Globalized World. Natural Areas Journal, v. 45, n. 2, p. 196-197, 2019. Purcell, P., Lintott, C., & Simpson, R. High-Tech Citizen Science: A Review of Current Trends and Future Directions. Public Understanding of Science, 25(4), 459-471. 2014. DOI: https://doi.org/10.1177/0094306116629410gg

DICKINSON, Jennifer. L.; ZUCKERBERG, Benjamin; BONTER, David. N. Citizen Science as an Ecological Research Tool: Challenges and Benefits. Annual Review of Ecology, Evolution, and Systematics, v. 41, p. 149-172, 2010. DOI: https://doi.org/10.1146/annurev-ecolsys-102209-144636

DOSEMAGEN, Shannon; PARKER, Alexandria J. Citizen Science Across a Spectrum: Broadening the Impact of Citizen Science and Community Science. Citizen Science: Theory and Practice, v. 4, n. 2, p. 24-33, 2019. DOI: https://doi.org/10.23987/sts.60419

Fontaine, Colin; Fontaine, Benoît; Prévot, Anne-Caroline. Do amateurs and citizen science fill the gaps left by scientists? Current Opinion in Insect Science, v. 23, p. 60-66, 2017.

ENSSLIN, Leonardo; ENSSLIN, Sandra Rolim; PINTO, Hugo de Moraes. Processo de investigação e análise bibliométrica: avaliação da qualidade dos serviços bancários. Revista De Administração Contemporânea, 17. Rev. adm. contemp., 2013. v. 17, n.3. p. 325–349. 2013. Disponível em: https://doi.org/10.1590/S1415-65552013000300005 Acesso em: 06 mar. 2023. DOI: https://doi.org/10.1590/S1415-65552013000300005

ESTEVES, Eduardo G.; PEREIRA, Carolina D.; SPINK, Peter Kevin. Connections of the South Zone: participative mapping of actors, actions and solidary relations. Revista Psicologia & Sociedade, v. 31, n. 19, p. 1-12, 2019.

ESTEVES, Edson G.; PEREIRA, Cecília de Oliveira; SPINK, Mary Jane Paris. Connections of the South Zone: Participative Mapping of Actors, Actions and Solidary Relations. Interface: Communication, Health, Education, v. 19, n.1, 267-278. 2019. DOI: https://doi.org/10.5565/rev/athenea.2180

International Journal of Information Science and Management. Taxonomies in Citizen Science: A Review. 2017 Disponível em: https://www.ijism.com/taxonomies-in-citizen-science-a-review/. Acesso em: 11 de fevereiro de 2023.

KITTUR, Aniket; CHI, Ed; SUH, Bongwon. Crowdsourcing user studies with Mechanical Turk. Anais. Proceedings of the SIGCHI conference on Human Factors in Computing Systems, p. 453-456. 2008. DOI: https://doi.org/10.1145/1357054.1357127

LONGO, Eduardo Schneider; RIBAS, Renata Pires. Collaborative Mapping Through Social Networks as a Citizens' Activism in the Discussions About Florianopolis Participative Master Plan. 2014.

Organização das Nações Unidas para a Educação, a Ciência e a Cultura. Recomendações da Unesco para a Ciência Aberta. UNESCO, 2022. 34 p. Disponível em: https://unesdoc.unesco.org/ark:/48223/pf0000379949_por. Acesso em: 04 março 2023.

PONTIKA, N.; KNOTH, P. Open Science Taxonomy. [S.l.]: Foster, 2015. Disponível em: http://oro.open.ac.uk/47806/1/os_taxonomy.png. Acesso em: 19 fev. 2023.

PONTIKA, N. et al.Fostering open science to research using a taxonomy and an elearning portal. In: INTERNATIONAL CONFERENCE ON KNOWLEDGE TECHNOLOGIES AND DATA-DRIVEN BUSINESS, 15., 2015. Proceedings...Graz, Áustria: Association for Computing Machinery, 2015. Disponível em: http://oro.open.ac.uk/44719/. Acesso em: 19 fev. 2023. DOI: https://doi.org/10.1145/2809563.2809571

SILVEIRA,. da; RIBEIRO, . C. .; SANTOS, . R. de O. .; SILVA, . M. de A. .; SILVA, . C. C. da; CAREGNATO, . E. .; OLIVEIRA, . C. S. de .; OLIVEIRA, . A. .; GARCIA , . C. R. .; ARAÚJO, F. Ciência aberta na perspectiva de especialistas brasileiros: proposta de taxonomia. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, [S. l.], v. 26, p. 1–27, 2021. DOI: 10.5007/1518-2924.2021.e79646. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/79646. Acesso em: 1 mar. 2023. DOI: https://doi.org/10.5007/1518-2924.2021.e79646

TASCA, J. E. et al. An approach for selecting a theoretical framework for the evaluation of training programs. Journal of European Industrial Training, v. 34, pp. 631-655, 2010. DOI: https://doi.org/10.1108/03090591011070761

VAN ECK, Joyce. The Physalis Improvement Project: blending research with community science: How community science can advance research. Euphytica, v. 215, n. 5, p. 84, 2019.

VEECKMAN, Cedric; TEMMERMAN, Leen. Urban Living Labs and Citizen Science: From Innovation and Science towards Policy Impacts. Citizen Science: Theory and Practice, v. 6, n. 1, p. 3, 2021. DOI: https://doi.org/10.5334/cstp.326 DOI: https://doi.org/10.3390/su13020526

WESTPHAL, Ashleigh M.; BREITER, C-Jae C.; FALCONER, Sarah; SAFFAR, Najmeh; ASHRAF, Ahmed B.; MCCALL, Alysa G.; MCIVER, Kieran; PETERSEN, Stephen D. Citizen science and machine learning: Interdisciplinary approach to non-invasively monitoring a northern marine ecosystem. PLoS ONE, 13(11): e0206383. doi: 10.1371/journal.pone.0206383. 2018. DOI: https://doi.org/10.1371/journal.pone.0206383

Published

2024-12-11

How to Cite

Silva, F. C. C. da, Witt, A. S., Wendt, L. G., Gabriel Junior, R. F., & Leal, L. R. do C. (2024). Taxonomy in Citizen Science: na analysis of key terminologies. Informação & Informação, 29(1), 172–201. https://doi.org/10.5433/1981-8920.2024v29n1p172