Abstract
AbstractRecognising the increasing accessibility and importance of patent data, the article underscores the need for standardised and transparent data analysis methods. We illustrate the construction and relevance of commonly used patent indicators derived from Google Patents Public Datasets. The indicators range from citation counts to more advanced metrics like patent text similarity. The BigQuery code is available in an open Kaggle notebook, explaining operational intricacies and potential data issues. By providing clear, adaptable queries and emphasising transparent methods, this article hopes to contribute to the standardisation and accessibility of patent analysis, offering a valuable resource for researchers and practitioners alike.
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