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Related Experiment Video

Updated: Feb 2, 2026

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Published on: August 18, 2023

The Reporting Items for Patent Landscapes statement.

James A Smith^1,2, Zeeshaan Arshad^2,3, Anthony Trippe⁴

¹Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.

Nature Biotechnology

|November 10, 2018

Summary

Patent landscape reports often lack sufficient detail. Implementing the Reporting Items for Patent Landscapes (RIPL) checklist can significantly enhance the quality and completeness of these crucial scientific documents.

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Area of Science:

Intellectual Property Management
Scientific Reporting Standards

Background:

Patent landscapes are crucial for R&D decision-making.
Current reporting practices for patent landscapes are often inadequate, hindering their utility.
A need exists for standardized guidelines to improve the quality of patent landscape reporting.

Purpose of the Study:

To assess the current reporting quality of patent landscape studies.
To introduce and evaluate the Reporting Items for Patent Landscapes (RIPL) checklist.
To demonstrate the potential of RIPL to improve patent landscape reporting.

Main Methods:

Systematic review of existing patent landscape reports.
Development of the Reporting Items for Patent Landscapes (RIPL) checklist.
Evaluation of RIPL's impact on reporting quality through expert assessment (details not provided in abstract).

Main Results:

The reporting quality of patent landscapes is currently inadequate.
The Reporting Items for Patent Landscapes (RIPL) checklist was developed.
RIPL has the potential to significantly improve reporting quality.

Conclusions:

Standardized reporting is essential for reliable patent landscapes.
The RIPL checklist offers a practical solution to enhance reporting quality.
Adoption of RIPL can lead to more comprehensive and trustworthy patent landscape analyses.