Unknown

Dataset Information

0

Imputation of missing information in worldwide patent data.


ABSTRACT: We present a general method for imputing missing information in the Worldwide Patent Statistical Database (PATSTAT) and make the resulting datasets publicly available. The PATSTAT database is the de facto standard for academic research using patent data. Complete information on patents is essential to obtain an accurate picture of technological activities across countries and over time. However, the coverage of the database is far from complete. Our data imputation method exploits detailed institutional knowledge about the international patent system, and we codify it in a SQL algorithm. We provide two datasets related to the imputation of missing country codes and missing technology classification. We also release the algorithm that can be easily adapted to impute other pieces of information that are missing in PATSTAT.

SUBMITTER: de Rassenfosse G 

PROVIDER: S-EPMC7744924 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Imputation of missing information in worldwide patent data.

de Rassenfosse Gaétan G   Seliger Florian F  

Data in brief 20201205


We present a general method for imputing missing information in the Worldwide Patent Statistical Database (PATSTAT) and make the resulting datasets publicly available. The PATSTAT database is the de facto standard for academic research using patent data. Complete information on patents is essential to obtain an accurate picture of technological activities across countries and over time. However, the coverage of the database is far from complete. Our data imputation method exploits detailed insti  ...[more]

Similar Datasets

| S-EPMC2432074 | biostudies-literature
| S-EPMC6834584 | biostudies-literature
| S-EPMC9205685 | biostudies-literature
| S-EPMC11686493 | biostudies-literature
| S-EPMC6748821 | biostudies-literature
| S-EPMC11232582 | biostudies-literature
| S-EPMC11881681 | biostudies-literature
| S-EPMC5461637 | biostudies-literature
| S-EPMC6293493 | biostudies-literature
| S-EPMC6707749 | biostudies-literature