The CoP tools matrix summarizes the databases and tools being used by each CoP member organization. It is designed to:
Enhance knowledge sharing: It allows CoP members to see which tools and databases others are using, promoting cross-learning and best practice sharing.
Support collaboration: By identifying common tools or complementary systems, members can find opportunities for collaboration and joint problem-solving.
Save time and resources: New or less-experienced members can benefit from the collective experience of the group, avoiding duplication of effort when exploring new tools.
Inform decision-making: It helps organizations make more informed choices about adopting or integrating new tools based on peer usage and feedback.
Foster transparency: The matrix increases visibility into the community’s capabilities and practices, reinforcing a culture of openness and support.
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By CoP member organization:
| CoP members | Patent databases used | Analytical tools used |
| APO (Austria) | PATSTAT | Gephi, Python, SQL |
| CIPC (South Africa) | Lens | PowerBI, Python |
| CNIPA (China) | Himmpat, Patsnap | PowerBI |
| ILPO (Israel) | Clarivate (Derwent Innovation), IPRally (AI based), Minesoft (PatBase), Questel (Orbit Intelligence), STN | Tableau |
| INAPI | Clarivate (Derwent Innovation), Espacenet, Lens, Patentscope, Questel (Orbit Intelligence) | Claude 4 Sonnet (GenAI), Infogram, Looker Studio, PowerBI, Python, R, Tableau |
| INPI (Brazil) | Clarivate (Derwent Innovation) | PowerBI, SQL, VantagePoint |
| IP Australia | Clarivate (Derwent Innovation), PATSTAT, STN | PowerBI, Python, SQL |
| IPOPHL (Philippines) | PatSeer, Questel (Orbit Intelligence) | Tableau, VantagePoint |
| IPOS (Singapore) | Patsnap, Questel (Orbit Intelligence) | PowerBI, Tableau |
| OECD | PATSTAT, PatentsView USPTO | Python, R, SQL, STATA |
| OEPM (Spain) | Clarivate (Derwent Innovation), PATSTAT | MicroStrategy, Python, R, SQL, Tableau |
| OMPIC (Morocco) | Clarivate (Derwent Innovation), EpoqueNet, Questel (Orbit Intelligence) | Qlikview |
| PPO (Poland) | PATSTAT | MS Access, SQL, Tableau |
| Rospatent/FIPS (Russian Federation) | PatSeer, Questel (Orbit Intelligence) | PowerBI, Python, SQL |
| SAIP (Saudi Arabia) | Lens, LexisNexis IP (PatentSight) | PowerBI, Python, SQL, Tableau |
| UKIPO (UK) | LexisNexis IP (PatentSight), PATSTAT | PowerBI, Python, R, SQL |
| WIPO | Clarivate (Derwent Innovation), Lens, PATSTAT, Patsnap, Patentscope, Questel (Orbit Intelligence) | Flourish, GraphMyTech, Python, R, SQL, STATA |
By patent database provider:
| Patent database | CoP members |
| Clarivate (Derwent Innovation) | ILPO, INAPI, INPI (Brazil), IP Australia, OEPM, OMPIC, WIPO |
| EpoqueNet | OMPIC |
| Espacenet | INAPI |
| Himmpat | CNIPA |
| IPRally (AI based) | ILPO |
| Lens | CIPC, INAPI, SAIP, WIPO |
| LexisNexis IP (PatentSight) | SAIP, UKIPO (UK) |
| Minesoft (PatBase) | ILPO |
| PATSTAT | APO, IP Australia, OECD, OEPM, PPO, UKIPO, WIPO |
| PatSeer | IPOPHL, Rospatent/FIPS |
| Patentscope | INAPI, WIPO |
| PatentsView USPTO | OECD |
| Patsnap | CNIPA, IPOS, WIPO |
| Questel (Orbit Intelligence) | ILPO, INAPI, IPOPHL, IPOS, OMPIC, Rospatent/FIPS, WIPO |
| STN | ILPO, IP Australia |
By analytical tool:
| Analytical tool | CoP members |
| Claude 4 Sonnet (GenAI) | INAPI |
| Flourish | WIPO |
| Gephi | APO |
| GraphMyTech | WIPO |
| Infogram | INAPI |
| Looker Studio | INAPI |
| MicroStrategy | OEPM |
| MS Access | PPO |
| PowerBI | CIPC, CNIPA, INAPI, INPI (Brazil), IP Australia, IPOS, Rospatent, SAIP, UKIPO |
| Python | APO, CIPC, INAPI, IP Australia, OECD, OEPM, Rospatent, SAIP, UKIPO, WIPO |
| Qlikview | OMPIC |
| R | INAPI, OECD, OEPM, UKIPO, WIPO |
| SQL | APO, INPI (Brazil), IP Australia, OECD, OEPM, PPO, Rospatent, SAIP, UKIPO, WIPO |
| STATA | OECD, WIPO |
| Tableau | ILPO, INAPI, IPOPHL, IPOS, OEPM, PPO, SAIP |
| VantagePoint | INPI (Brazil), IPOPHL |