An Intelligent Innovation Dataset on Scientific Research Outcomes

TL;DR

The paper introduces the Intelligent Innovation Dataset (IIDS), a comprehensive, multi-source dataset covering 120 years of scientific research, patents, and funding data to facilitate advanced research and policy analysis.

Contribution

It presents a new open dataset integrating diverse scientific and patent data sources with extensive temporal coverage, addressing limitations of existing datasets.

Findings

Provides a large, interconnected dataset spanning nearly 120 years.

Enables in-depth analysis of scientific research, patents, and funding trends.

Supports diverse applications in research, policy, and business evaluation.

Abstract

Various stakeholders, such as researchers, government agencies, businesses, and research laboratories require a large volume of reliable scientific research outcomes including research articles and patent data to support their work. These data are crucial for a variety of application, such as advancing scientific research, conducting business evaluations, and undertaking policy analysis. However, collecting such data is often a time-consuming and laborious task. Consequently, many users turn to using openly accessible data for their research. However, these existing open dataset releases typically suffer from lack of relationship between different data sources and a limited temporal coverage. To address this issue, we present a new open dataset, the Intelligent Innovation Dataset (IIDS), which comprises six interrelated datasets spanning nearly 120 years, encompassing paper information, paper citation relationships, patent details, patent legal statuses, and funding information. The extensive contextual and extensive temporal coverage of the IIDS dataset will provide researchers and practitioners and policy maker with comprehensive data support, enabling them to conduct in-depth scientific research and comprehensive data analyses.