Exploring the Methods and the Need for Data Anonymization of Species Locational Data

Our research provides datasets on different national parks and the different species that were seen there before. The names of the national park, as well as the scientific and common name of each species studied, are provided at the top of each dataset..The datasets give better understanding on how we can sustain the biodiversity of specific areas. While creating our method of collecting data, we encountered problems involving data being taken by unauthorized users for unethical actions. Our solution to that involves using geospatial masking and AI-assisted anonymization to ensure that the sensitive information of species occurrences are not shared. Data security,legal and ethical concerns,and possible threats to the regions’ biodiversity are the main factors we focused on while deciding with our method of creating the research paper and solutions to sustaining biodiversity.

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Publication Details

Journal
Journal of Student Research
Published
2024-08-31
DOI
https://doi.org/10.47611/jsrhs.v13i3.6930
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Methods and the Need for Data Anonymization of Species Locational Data

Kay H. Chin, Kuo Li, Linlin Li, Sean Choi et al.
Journal of Student Research
Environmental DNA in Biodiversity Studies
article

Exploring the Methods and the Need for Data Anonymization of Species Locational Data

Kay H. Chin, Kuo Li, Linlin Li, Sean Choi, Jason Huang
article en

Abstract

Our research provides datasets on different national parks and the different species that were seen there before. The names of the national park, as well as the scientific and common name of each species studied, are provided at the top of each dataset..The datasets give better understanding on how we can sustain the biodiversity of specific areas. While creating our method of collecting data, we encountered problems involving data being taken by unauthorized users for unethical actions. Our solution to that involves using geospatial masking and AI-assisted anonymization to ensure that the sensitive information of species occurrences are not shared. Data security,legal and ethical concerns,and possible threats to the regions’ biodiversity are the main factors we focused on while deciding with our method of creating the research paper and solutions to sustaining biodiversity.

Journal of Student ResearchVol. 13(3)
Elgin Community College (US), St. George's School (US), St. John's School (US)
Openalex Percentile: Top 72%
Environmental DNA in Biodiversity Studies
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