大数据背景下，拓展研究者科研数据应用视野对于提高创新管理研究水平具有重要意义。围绕专利数据在创新管理研究中的应用，分别对专利数据分享平台、专利数据样本行业选择及时间跨度、专利数据清洗、专利数据合作网络、知识网络及引用网络、专利数据基本创新指标、专利数据创新绩效指标、专利数据处理分析模型及专利数据指标计算与分析平台进行综合评述，并从网络分析、创新指标挖掘与无形资产评估及案例研究3个方面提出专利数据未来应用方向，可为提高专利数据应用水平、研究创新管理问题提供理论和方法借鉴。

At present, although scholars have accumulated some research results around patent data, especially in the field of innovation management, they do not make full use of the existing data resources. There are isolated islands of information among the data so that the application steps, validity of patent data, and platform resources of existing patent data supply and analysis have not been systematically summarized. This is an assignable obstacle for patent-related research. If some problems are not handled properly, it will even affect the research conclusion and its application value . Therefore, it is of great significance to broaden the application vision of researchers' scientific research data to improve the research level of innovation management.#br#This paper aims to help researchers utilize the published patent data to promote the development of innovation management research. Focusing on the application of patent data in innovation management research, the following work is carried out in this paper. First, the value and information of patent data are elaborated, and the acquisition platform of patent data in existing innovation management research is sorted out to help researchers to better apply patent data and fully explore the value of patent number. Secondly, this study summarizes existing patent data processing methods and measures to improve validity in this field, including industry selection, time span and cleaning of patent data samples. In particular, in view of the problem of patent data cleaning, this paper summarizes the existing processing methods from the aspects of inventor name elimination, organization, mobile developer, classification number version, legal status, data missing, data duplication and low-quality patent identification.#br#Due to the continuous progress in the research of social networks and complex networks, the attention to networks in management research has also been strengthened. The research of innovation networks represented by cooperative networks, knowledge networks and citation networks has become a prominent learning in the field. In the competitive environment, the establishment of different collaborative relations by innovators can realize complementary advantages and knowledge sharing. Therefore, the attention of management research on network is constantly strengthened. This paper summarizes the research on innovation network represented by collaboration network, knowledge network and citation network, and summarizes the main research dimensions and results of innovation network in the current stage. On this basis, this paper focuses on measuring the influence, importance and relationship of nodes in collaboration network, knowledge network and citation network, and summarizes the main collaboration network analysis index in extant studies. In addition, it summarizes the main innovation measurement index of patent data from aspects of R&D capability evaluation and technology value evaluation. From the perspective of measuring patent performance, this paper then summarizes the index of patent citation, the strength and depth of patent family, and exhibition the extant main patent data index analysis platform with the aim to provide valuable research index reference for innovation management researchers.#br#According to the related analysis in innovation management, this paper puts forward research suggestions about the usage of patent data on network analysis, innovation index exploration and case studies. Firstly, the patent-based social network analysis provides a better empirical condition for revealing the collaboration mechanism in innovation , the researchers could study a variety of network changes, network integration process, knowledge flow, and other issues. Furthermore, they can reveal the coupling mechanism between knowledge network and collaboration network and its impact on innovation performance from the perspective of network diversification. From the perspective of innovation index mining and intangible asset evaluation of patent data, this paper presents the important research significance of scientific evaluation index and evaluation index system of patent value to realize technology and achievement transformation, as well as suggestions for the application of patent data in case studies.#br#Patent data increasingly shows its huge information carrying capacity and value mining advantages. The development of computer technology and Internet has brought advanced technical tools and methods for patent data analysis and application. As a result, the research on innovation management based on patent data provides scholars with unprecedented new ideas and broad vision.#br#