Engineering and materials software is increasingly difficult to track in the scholarly and technical literature because publication volume is growing rapidly and software citation practices remain inconsistent. This is particularly true for the Ansys Granta product family, which is used for materials education, materials and process selection, sustainability-driven design, and enterprise materials information management. We present a structured and reproducible framework to consolidate evidence of \emph{operational} Granta usage and to support quantitative monitoring of adoption patterns, application domains, and technical impact. The framework is implemented as a curated reference database in \textit{Ansys Granta MI Enterprise}: bibliographic metadata are ingested semi-automatically (e.g., via DOI and citation-file parsing) and complemented by expert curation of usage descriptors (product, context, application domain, and technical depth), with relational links to authors and institutions. Downstream analytics are performed with Python, dashboards, and bibliometric/network visualization tools to enable reproducible querying and reporting. As of September~2025, the database contains more than 1{,}100 curated records spanning journals, conferences, theses, books, patents, standards, and reports, and supports rapid retrieval of validated case studies, reproducible literature reviews, and technology scouting. Example analyses highlight dominant domains, key institutions, and recurring integrations with CAD/CAE/FEM environments. Overall, the approach converts heterogeneous software-usage evidence into structured, analyzable knowledge to improve visibility of engineering software impact and to support evidence-based assessment and strategic decision-making.

翻译：随着出版物数量快速增长且软件引用实践仍不一致，工程与材料软件在学术和技术文献中的追踪日益困难。这对于Ansys Granta产品系列尤为明显，该系列被广泛应用于材料教育、材料与工艺选择、可持续性驱动设计以及企业材料信息管理。本文提出一种结构化且可复现的框架，旨在整合Granta实际使用证据，并支持对其采用模式、应用领域与技术影响的量化监测。该框架以《Ansys Granta MI Enterprise》中的精选参考文献数据库形式实现：通过半自动化方式（例如基于DOI和引用文件解析）采集文献元数据，并辅以专家对使用描述符（产品、使用场景、应用领域与技术深度）的人工标注，同时建立与作者及机构的关联链接。下游分析采用Python、仪表板及文献计量/网络可视化工具，以实现可复现的查询与报告功能。截至2025年9月，该数据库已收录超过1,100条涵盖期刊、会议、学位论文、书籍、专利、标准及报告的精选记录，支持快速检索已验证的案例研究、可复现的文献综述与技术探索。示例分析揭示了主要应用领域、关键机构以及与CAD/CAE/FEM环境的常见集成模式。总体而言，该方法将异构的软件使用证据转化为结构化、可分析的知识体系，以提升工程软件影响的可见度，并为基于证据的评估与战略决策提供支持。