The timeliness of patent data is a major issue. Patent records from recent years, particularly post-2020, are often incomplete, which can skew analysis and trends; it can take 1-2 years for the data to filter through more completely. This is exacerbated by the use of the "priority date", which can add an 18 month delay from filing, but is the preferred date for the majority of PubChem users. This gap highlights the need for rapid updates of data sources to ensure that recent innovations and filings are accurately represented. The accuracy of the dataset is heavily reliant on the efficiency and precision of literature mining and image recognition algorithms, which is an area of active research . Adjustments to the extraction workflows can result in the exclusion of several patents from the dataset or the omission of information such as priority dates (which, if absent, cannot be included in the chemical stripes).