Effective Data Collection Approaches for Citizen Science in Biodiversity Research

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dc.contributor.authorKozak, Olenaen_US
dc.contributor.authorErkinaro, Ainoen_US
dc.contributor.authorHuttunen, Kaisa-Leenaen_US
dc.contributor.authorOsypenko, Larysaen_US
dc.contributor.authorKyiak, Svitlanaen_US
dc.contributor.authorMatsai, Nataliiaen_US
dc.contributor.authorPeregrym, Mykytaen_US
dc.date.accessioned2026-06-01T14:23:17Z
dc.date.available2026-06-01T14:23:17Z
dc.date.issued2026
dc.description.abstractBiodiversity underpins the stability of ecosystems and human well-being. However, it is rapidly declining globally, necessitatingrobust and scalable monitoring solutions. Citizen science has emerged as a powerful complement to traditional biodiversityresearch, enabling the collection of widespread data and fostering public engagement, particularly through digital platformssuch as iNaturalist and eBird. This study investigates global patterns in citizen science contributions to biodiversity monitoring,exploring the influence of socioeconomic factors, national biodiversity value, and platform-specific contributions on data gener-ation. Key strategies for optimizing public participation, enhancing data quality and coverage are identified through statisticalanalysis and three in-depth case studies from Finland and Ukraine. Our findings show that citizen science platforms now providea significant portion of biodiversity records in GBIF. Citizen science contributions to global biodiversity data are shaped more bya country's ecological uniqueness and biodiversity value than by its socioeconomic development, as effectiveness depends not juston user numbers or observations but also on biodiversity significance, platform origin, and user engagement. Combining digitalplatforms with targeted outreach, through social media, personal communication, and expert validation, emerges as a promisingstrategy to enhance data reliability and participant engagement. This mixed-methods approach proves especially effective incontexts with varying levels of digital access, biodiversity richness, and species monitoring needs.en_US
dc.identifier.citationEffective Data Collection Approaches for Citizen Science in Biodiversity Research / Olena Kozak, Aino Erkinaro, Kaisa-Leena Huttunen, Larysa Osypenko, Svitlana Kyiak, Nataliia Matsai, Mykyta Peregrym // Ecology and Evolution. - 2026. - Vol. 16, Issue 4. - Article number e73461. - https://doi.org/10.1002/ece3.73461en_US
dc.identifier.issn2045-7758
dc.identifier.issn2045-7758
dc.identifier.urihttps://doi.org/10.1002/ece3.73461
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/39872
dc.language.isoen_USen_US
dc.relation.sourceEcology and Evolutionen_US
dc.statusfirst publisheden_US
dc.subjectdata collectionen_US
dc.subjectdigital platformsen_US
dc.subjectGBIFen_US
dc.subjectpublic engagementen_US
dc.subjectsocial mediaen_US
dc.subjectspecies observationsen_US
dc.subjectarticleen_US
dc.titleEffective Data Collection Approaches for Citizen Science in Biodiversity Researchen_US
dc.typeArticleen_US
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