Patent Data and Code for Video Gameplay Research

Delivering supplementary materials, including labeled data and code, for the research paper 'Patenting Video Gameplay.' It is authored by Gregory Schwartz and hosted by Harvard Dataverse. The specific row count, column structure, and file formats are not detailed in the provided input.

Use Cases

• Analyze labeled data on video game patents to identify trends in gameplay-related intellectual property claims.
• Replicate the methodology from the 'Patenting Video Gameplay' paper using the provided code and data.
• Cross-reference the labeled data with legal and computer science datasets to study innovation patterns in the gaming industry.

Strengths

• Data is directly linked to a formal research publication ('Patenting Video Gameplay'), providing academic context.
• Hosted on the Harvard Dataverse platform, which is a recognized repository for research data.
• Includes both code and labeled data, supporting reproducibility of the associated study.

Limitations

• The dataset's size, structure (rows, columns), and specific file formats are unknown, hindering initial assessment of scope.
• The absence of sample data or a detailed data dictionary makes it difficult to evaluate the content and quality of the labeled data.
• The temporal and geographic coverage of the underlying patent data is not specified.

Provenance

Source

Harvard Dataverse

Collection Method

Created as supplementary material for the research paper 'Patenting Video Gameplay'.

Freshness

The record was last updated on 2026-02-07.