Impact Factor: 1.7
5-Year Impact Factor: 1.5
CiteScore: 3.1
UN SDG
Turkish Journal of Fisheries and Aquatic Sciences 2026, Vol 26, Num, 3     (Pages: TRJFAS26139)

Development of Fish Metabolome Database: Expanding Access and Advancing Management of Metabolite Data Resources

Andre Sihombing 1 ,Ira Maryati 3 ,Giri Rohmad Brokah 2 ,Lia Sadita 3 ,Harry B. Santoso 4 ,Anne Parlina 1

1 Research Center for Data and Information Science, National Research and Innovation Agency, Bandung, Indonesia
2 Research Center for Food Technology and Processing, National Research and Innovation Agency, Serpong, Indonesia
3 Directorate of Scientific Collection Management, National Research and Innovation Agency, Jakarta, Indonesia
4 Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia
DOI : 10.4194/TRJFAS26139 Viewed : 9 - Downloaded : 9 This study designs the Fish Metabolome Database (FMDB) as a repository of fish metabolite data. The data is valuable for fisheries research, such as fishery product safety, water pollution, and fish interactions with the environment. The database was designed with the requirements generated from previous research related to metabolite data management and adapted to the datasets. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) strengthened by benchmark at the synthesis stage are used to gather the requirements. The proposed data fields and features have been implemented in a prototype database containing 91 datasets of fish metabolites. Its simple functionality makes it easy to search for databases on species keywords or metabolite names. The limited amount of data is a research limitation that will continue to be developed to improve the database. However, as there is currently no existing database in that field, FMDB becomes a foundation for managing fish metabolite data that is useful for further research and education in the field of fisheries. This research also provides insight for professionals and practitioners in database management with requirements based on literature reviews. Keywords : Fish metabolome database Fisheries data Preferred reporting items for systematic reviews and meta-analyses Data management