
· Overview: University College London (UCL), a leading higher education institution in the UK, offers education from bachelor’s degrees to PhDs along with extensive research activities.
·Challenges: The primary challenge was conducting entity-linking exercises for patent data, specifically in sectoral analysis.
·Impact: The research project would have been unfeasible without a robust tool. PatSeer provided essential search tools and statistics necessary for the project’s success.
·Discovery: PatSeer was recommended by an academic colleague.
·Selection Reasoning: The ability to download patent data while bypassing imprecise PATSTAT datasets was a decisive factor.
·Implementation: PatSeer facilitated the process by providing necessary patent data and
statistics to support research.
·Improvements: PatSeer reduced patent search time from a full day to approximately 30– 60 minutes.
·Overcoming Challenges: The solution directly addressed and resolved the entity-linking issues.
·Metrics: Significant time savings in patent searches demonstrate the success of the implementation.
·Experience: The PatSeer team provided exceptional support, responding promptly to inquiries and organizing ad-hoc meetings as needed.
·Recommendation: “Yes, I highly recommend PatSeer. It’s an extremely advanced tool when you understand its full potential.”
·Future Use: UCL intends to use PatSeer in subsequent research and acknowledges its critical role in the project’s success.
·Feature Suggestions: Increasing the data download limits (from 30,000/day to 100,000/day and monthly limit to 1,000,000) would be a significant improvement.
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