What data is available in PatentSight+™ Dataset?
Which patent data modules are included?
What analytics metrics are included?
How frequently is the dataset updated?
Can I customize or select the data I receive?
What data is available in the PatentSight+™ Dataset?
The LexisNexis® PatentSight+™ Dataset provides access to the curated analytics datasets that power the LexisNexis® PatentSight+™ platform. The dataset is designed to support advanced patent analytics and strategic decision-making by providing harmonized patent family data enriched with ownership information, technology classifications, and proprietary metrics.
Unlike document-level patent datasets, the PatentSight+™ Dataset organizes information at the patent family level, allowing you to analyze related patent filings across jurisdictions as a single invention unit.
The dataset supports a wide range of analytics use cases including:
Technology landscape analysis
Portfolio benchmarking
Competitive intelligence
Innovation trend monitoring
Patent portfolio valuation
The data is structured to integrate directly into analytics platforms, business intelligence tools, and data science environments.
Which patent data modules are included?
The PatentSight+™ Dataset is organized into several analytical modules that support different types of patent analysis.
Core IP Data
The Core IP module contains the foundational patent family data used across all analytics workflows.
This includes:
Patent family identifiers
Patent applications and publications
Priority relationships
Inventors and applicants
Patent classifications such as IPC, CPC, and F-Term
Citation relationships between patent families
Legal status indicators and lifecycle data
This module forms the base layer for portfolio analysis and innovation research.
Technology Landscape Data
The PatentSight+™ Dataset includes technology classification structures designed specifically for technology landscape analysis.
These technology clusters organize patents into hierarchical technology fields that allow analysts to identify innovation trends and emerging technologies.
Each patent family is assigned to a technology cluster within a four-level hierarchical structure, enabling detailed analysis across technology domains.
Legal and Lifecycle Data
The dataset also includes structured information about patent application lifecycles and legal events.
Examples include:
priority dates
filing and publication dates
grant dates
expiration estimates
application legal events
family lifecycle indicators
These fields help analysts understand the current status and lifecycle stage of patents.
Ownership and Competitive Intelligence Data
The PatentSight+ Dataset includes normalized ownership information and corporate structures to support portfolio analysis and competitive intelligence.
This includes:
standardized assignee names
ultimate owner attribution
corporate portfolio aggregation
citation relationships between organizations
This data allows you to analyze patent portfolios at the company or organizational level.
What analytics metrics are included?
The PatentSight+™ Dataset includes proprietary analytics metrics developed within the PatentSight platform to measure the strength and influence of patent portfolios.
These include:
LexisNexis® Patent Asset Index (PAI)
An indicator of the overall strength of a patent portfolio that combines portfolio size with patent quality.
LexisNexis® Technology Relevance
A measure of how influential a patent is within its technological field based on citation analysis.
LexisNexis® Market Coverage
An indicator of the economic value of markets where a patent family is protected.
LexisNexis® Competitive Impact
A combined metric that reflects the strategic importance of a patent based on technology relevance and market coverage.
These metrics enable you to compare patent portfolios, benchmark competitors, and identify strategically valuable technologies.
How is the data structured?
The PatentSight+™ Dataset is delivered as a structured analytics dataset designed for integration into enterprise analytics environments.
The data is organized into relational tables that represent different analytical entities, including:
patent families
patent publications and applications
inventors and applicants
patent classifications
ownership entities
technology clusters
analytics metrics
Each table contains standardized identifiers that allow you to link datasets together for advanced analysis.
The dataset is typically accessed through analytics platforms such as Databricks, allowing you to query the data using SQL, notebooks, or business intelligence tools.
How frequently is the dataset updated?
The PatentSight+™ Dataset is regularly updated as new patent publications and citation relationships become available.
For example, technology clusters are updated weekly to incorporate newly published patent families and maintain an up-to-date representation of global innovation landscapes.
These updates ensure that you can analyze patent activity using current data.
Can I customize or select the data I receive?
The PatentSight+™ Data can be integrated into internal analytics environments, allowing you to query and analyze the specific data elements relevant to your workflows.
You can:
query specific modules or datasets
combine patent analytics data with internal business data
build custom dashboards and analytical models
extract subsets of the dataset for specialized analysis
This flexibility enables you to tailor patent analytics to your own strategic and operational needs.
Summary
The PatentSight+™ Dataset provides an analytics-ready dataset designed to support advanced patent portfolio analysis and innovation strategy.
By organizing patent data at the patent family level and enriching it with ownership information, technology classifications, and proprietary analytics metrics, the PatentSight+™ Dataset enables you to perform sophisticated patent analytics directly within your internal data environments.
The dataset provides the structured foundation for understanding innovation trends, benchmarking competitors, and evaluating the strategic value of patent portfolios.
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