Blockchain Technology for Ensuring Data Integrity in Fish Taxonomy and Specimen Records
Jessica Taylor Canadian Wildlife Federation, Ottawa, Ontario, Canada
Marylyn Carrigan Canadian Wildlife Federation, Ottawa, Ontario, Canada
Abstract
Adopting blockchain technology to assure data integrity in fish taxonomy and specimen records is a viable approach for boosting the dependability and openness of scientific research, conservation, and fisheries management activities. The research determines that blockchain technology related to the data integrity in fish taxonomy also that specimen records. This ground-breaking method uses the blockchain's decentralized, immutable ledger system to overcome major issues with field data management. Blockchain technology protects data reliability by securely storing taxonomic changes and specimen records. Research based on primary data analysis related to them. The inability to update or remove data from the blockchain once entered lowers the possibility of mistakes, fraud, or unauthorized alterations. Ensuring data integrity has become essential in a time when data is used to drive decision-making in many different industries. Traditional data management systems are prone to problems, including fraud, data loss, and manipulation. The development of blockchain technology has made it possible to overcome these issues and ensure data integrity. Additionally, the auditing and compliance procedures are made simpler and ensure compliance with regulatory standards due to the traceability of all changes and access to records. While implementing blockchain has drawbacks—scalability and energy use issues—the potential rewards outweigh these drawbacks by a wide margin. By enhancing data integrity in fish taxonomy and specimen records, blockchain technology presents a viable foundation for more successful scientific research, conservation activities, and fisheries management. To take advantage of these benefits, participants in this industry are urged to investigate how blockchain may be incorporated into their current data management procedures.