Guides are curated resources written by the community that address a specific theme in innovation research, and provide a space for discussing how different tools, datasets and techniques can be used in combination with one another. We also aggregate collections of datasets and tools curated by other platforms (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 develop a guide -- 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!).
- Lens Labs Apps and Data
Projects relating to the Lens platform, and to patent citation to scholarly literature, curated by the Lens.
- 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
- 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
- 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.
- Essential Publication Analysis Datasets and Measures
Starting point for the analysis of scholarly literature in relation to innovation.
- Validation in Innovation Data
Guide to popular validation datasets, tools and techniques for innovation research.