Difference between revisions of "What is name matching?"
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and is exasperated when more than two datasets are used. | and is exasperated when more than two datasets are used. | ||
| − | It is better if study data can be linked on unambiguous name IDs rather than by matching potentially ambiguous name strings. | + | It is better if study data can be matched once, at source, then linked on unambiguous name IDs rather than by matching potentially ambiguous name strings. |
== How Latin names are ambiguous == | == How Latin names are ambiguous == | ||
Revision as of 07:25, 26 September 2024
The process of combining biodiversity data from multiple sources currently starts with matching of the Latin name strings for the organisms used in each dataset.
Studies often contain names that can not be unambiguously matched or miss out some names entirely.
When combining datasets, between 10% and 20% of names will fail to match perfectly and may need some human interaction or accepted error.
With datasets of many thousands of species this soon becomes a major hurdle that has to be crossed every time datasets are used in analyses
and is exasperated when more than two datasets are used.
It is better if study data can be matched once, at source, then linked on unambiguous name IDs rather than by matching potentially ambiguous name strings.
How Latin names are ambiguous
- Homonyms
- Author String variation
- Legal
- Illegal
- Orthographical variants
- Errors
- OCR
- Typographic
