系统梳理学术论文新颖性度量方法，助力创新评估与科研方向洞察
A review on the novelty measurements of academic papers
- 区分新颖性与原创性、创新等概念，明确科学新颖性内涵
- 分类整理基于不同数据类型的论文新颖性度量方法
- 揭示现有工具、数据集及验证方法，指明未来研究挑战
新颖性评估对促进和管理创新至关重要。随着信息技术进步与开放数据运动的发展，新颖性度量已取得一定进展。追踪和回顾新颖性测量方法，为科学贡献、研究进展及新兴方向提供数据驱动的评估路径。由于学术论文是科学知识传播、验证与讨论的主要载体，本文旨在对学术论文的新颖性度量进行系统分析。首先，比较科学新颖性与原创性、科学创新、创造力及科学突破四类相近概念的差异；其次，回顾科学新颖性的类型；再次，依据数据类型对现有新颖性度量方法进行分类，并分别评述各类方法；随后，调查新颖性度量的验证方法，审视相关工具与数据集；最后，提出若干未来研究的开放问题。
原文摘要 · Abstract (English)
Novelty evaluation is vital for the promotion and management of innovation. With the advancement of information techniques and the open data movement, some progress has been made in novelty measurements. Tracking and reviewing novelty measures provides a data-driven way to assess contributions, progress, and emerging directions in the science field. As academic papers serve as the primary medium for the dissemination, validation, and discussion of scientific knowledge, this review aims to offer a systematic analysis of novelty measurements for scientific papers. We began by comparing the differences between scientific novelty and four similar concepts, including originality, scientific innovation, creativity, and scientific breakthrough. Next, we reviewed the types of scientific novelty. Then, we classified existing novelty measures according to data types and reviewed the measures for each type. Subsequently, we surveyed the approaches employed in validating novelty measures and examined the current tools and datasets associated with these measures. Finally, we proposed several open issues for future studies.
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