Intellectual Property, Information Science, and Quantitative Legal Analysis

D. Seng
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Abstract

Advancements in data analysis and the growing wealth of data regarding various innovations and their uses make it increasingly feasible to apply robust mathematical, statistical, and computational techniques to empirically investigate phenomena, analyse issues and make policies in intellectual property (IP). This chapter gives a brief outline of the six steps to quantitative legal analysis, namely formulating the research question, conducting a literature review, designing the research methodology, managing the data, analysing the data, and presenting the analysis and conclusions. There is discussion about how information science techniques can improve the processes of methodology design and the collection and management of data when applied to IP matters. This chapter ends with an examination into the possible limitations of the quantitative legal analysis process as applied to legal issues in general and to IP issues in particular, and provides suggestions as to how these may be overcome.
知识产权、信息科学与定量法律分析
数据分析的进步和关于各种创新及其用途的数据日益丰富,使得应用强大的数学、统计和计算技术对知识产权(IP)现象进行实证调查、分析问题和制定政策变得越来越可行。本章简要概述了定量法律分析的六个步骤,即提出研究问题,进行文献综述,设计研究方法,管理数据,分析数据,提出分析和结论。讨论了信息科学技术在应用于知识产权事务时如何改进方法设计和数据收集和管理的过程。本章最后审查了定量法律分析过程在一般法律问题,特别是知识产权问题上可能存在的局限性,并就如何克服这些局限性提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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