Curated Collections of Innovation Data Resources
Collections are curated resources aggregated by the community that address a specific theme in innovation research, and provide a space for discussing how different resources can be used in combination with one another. Some of the collections included here are curated in different places (e.g. the Lens Labs tools list, the Google Patents Index of Public Datasets), while others are curated on this site.
If you would like to curate a collection -- perhaps you work with multiple datasets in your research, or maybe your department keeps a list of useful tools -- this would be a great thing to share. You are welcome to contribute one yourself via Github (see instructions on the about page), or, if you would like some guidance please get in touch, we can help.
These pages are intentionally free-form, and you are welcome to link to any resources on or off this website (they don't need to be free and open, but it's useful to mention so if not!).
Essential Patent Analysis Datasets
Starting point list of datasets and resources for the study of innovation, including guides to interpreting patent identifiers, request APIs, and disambiguation tools.
Lens Labs Apps and Data
Projects relating to the Lens platform, and to patent citation to scholarly literature, curated by the Lens.
Essential Publication Analysis Datasets and Measures
Starting point for the analysis of scholarly literature in relation to innovation.
Google Patents Public Datasets
The Google Patents team hosts a set of linked public, paid and private data, publicly accessible on BigQuery. The core of these datasets is the public Google Patents Public Data table of worldwide bibliographic information on more than 90 million ...
NBER Public Use Data Archive
The NBER public data archive is a mix of public economic, demographic, and enterprise data, obtained over the years in response to requests by NBER-affiliated researchers for particular projects. There are also files created as the output of NBER ...