Dimensions includes data from a huge number of sources. The data is converted to a common data model, cleaned, and then enriched so it is ready for use. The enrichment steps include disambiguation of people (“Researchers”) and Organizations, and categorizing the data into topics (“Categories”). Amounts awarded can be shown multiple currencies, and this is achieved by converting the amount awarded into different currencies with the exchange rate current at the start date of the grant.
How is the data curated, enriched and harmonized?
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