Our Data Methodology: How We Verify 663 Pandas Across 58 Locations
Key Fact: PandaCommon maintains data on 663+ giant pandas across 58 locations — and every data point is verified against multiple authoritative sources before publication. The research methodology combines the International Studbook (the global registry of captive pandas), official Chinese government and facility announcements, peer-reviewed scientific literature, zoo records, and verified news reports. The goal is not just comprehensiveness but accuracy — building a knowledge base that researchers, journalists, and the public can trust.
Key Takeaways
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All data is verified against multiple authoritative sources before publication.
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Core sources include the International Studbook, Chinese official records, and peer-reviewed science.
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Community contributions are welcomed but verified before incorporation.
The verification process is hierarchical. The International Studbook — the authoritative registry maintained by the Chinese Association of Zoological Gardens — serves as the primary source for captive panda identity, parentage, and location. Official announcements from panda facilities (births, deaths, transfers) provide current information. Peer-reviewed scientific publications contribute research-grade data on panda biology, behavior, and ecology. Zoo annual reports and verified news coverage provide additional confirmation and context.
When sources conflict — as occasionally occurs, especially regarding older records — the research team investigates the discrepancy and applies a conservative resolution: the data that is best-supported by multiple independent sources is accepted; data that cannot be independently verified is noted as uncertain.
Community contributions — corrections, updates, additional information — are welcomed and encouraged but subject to the same verification standards. A reported correction is checked against authoritative sources before being incorporated. This verification requirement maintains data quality while enabling community participation, the citizen science model described in our article on joining PandaCommon as a citizen scientist.
