Assessing data bias in visual surveys from a cetacean monitoring programme
Open accessAbstract
Long-term monitoring datasets are fundamental to understand physical and ecological responses to environmental changes, supporting management and conservation. The data should be reliable, with the sources of bias identified and quantified. CETUS Project is a cetacean monitoring programme in the Eastern North Atlantic, based on visual methods of data collection. This study aims to assess data quality and bias in the CETUS dataset, by 1) applying validation methods, through photographic confirmation of species identification; 2) creating data quality criteria to evaluate the observer's experience; and 3) assessing bias to the number of sightings collected and to the success in species identification. Through photographic validation, the species identification of 10 sightings was corrected and a new species was added to the CETUS dataset. The number of sightings collected was biased by external factors, mostly by sampling effort but also by weather conditions. Ultimately, results highlight the importance of identifying and quantifying data bias, while also yielding guidelines for data collection and processing, relevant for species monitoring programmes based on visual methods.
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- Authors
- Oliveira-Rodrigues, C., Correia, A. M., Valente, R., Gil, Á., Gandra, M., Liberal, M., Rosso, M., Pierce, G., & Sousa-Pinto, I.
- Affiliations
- Centro Interdisciplinar de Investigação Marinha e Ambiental (PT)
- Universidade do Porto (PT)
- Consejo Superior de Investigaciones Científicas (ES)
- Centro de Ciências do Mar do Algarve (PT)
- Fraunhofer Portugal Research (PT)
- CIMA Research Foundation (IT)
- Corresponding author
- Oliveira-Rodrigues, Cláudia
- Correia, Ana M.
- ORCID
- Venue
- Scientific Data
- Published
- 2022-11-10
- Volume
- 9
- Issue
- 1
- Pages
- 682-682
- ISSN
- 2052-4463 (ISSN-L)
- PMC
- PMC9649672
- OpenAlex
- W4308713187
- Cited by
- 10
- References
- 27
- Citations by year
- 2026: 4 · 2025: 4 · 2023: 2
- Type
- data paper
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Data (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
- Physical Sciences › Mathematics › Statistics and Probability › Census and Population Estimation
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Keywords
- data bias, cetacean monitoring, visual surveys, data quality, species identification, observer experience, sampling effort, long-term monitoring, Northeast Atlantic
- MeSH terms
- Animals, Cetacea, Data Collection, Bias, Datasets as Topic
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