Extraction and analysis of useful knowledge from the vast amount of relevant published literature can add valuable insights to any research theme or area of interest. We introduce a simplified bibliometric data analysis protocol for gaining substantial insights into research thematics, which can also serve as a handy practical skill for researchers, while working from home. In this paper, we provide ways of developing a holistic research strategy using bibliometric-data driven approaches that integrate network analysis and information management, without the need of full paper access. This protocol is a comprehensive multi-modular pathway for analysis of metadata obtained from major scientific publishing houses by use of a Decision Support System (DSS). A simple case study on the invasive species Lantana camara has been presented as a proof-of-concept to show how one can implement this DSS based protocol. Some perspectives are also provided on how the outcomes can be used directly or scaled up for long term research interventions. We hope that this work will simplify exploratory literature review, and enable rational design of research objectives for scholars, as well as development of comprehensive grant proposals that address gaps in research.

中文翻译：

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基于科学证据的决策支持系统：入侵马Lan丹camara的文献计量网络。

从大量相关出版文献中提取和分析有用的知识可以为任何研究主题或感兴趣的领域添加有价值的见解。我们引入简化的文献计量数据分析协议，以获取对研究主题的大量见解，还可以在在家工作时为研究人员提供方便的实践技能。在本文中，我们提供了使用文献计量数据驱动的方法来开发整体研究策略的方法，这些方法将网络分析和信息管理集成在一起，而无需进行全文访问。该协议是一个综合的多模块路径，用于分析通过使用决策支持系统（DSS）从主要科学出版社获得的元数据。一个关于入侵物种马Lan丹（Lantana camara）的简单案例研究已作为概念证明进行了展示，以展示人们如何实现这种基于DSS的协议。还提供了一些关于如何将结果直接用于长期研究干预措施或将其用于长期研究干预措施的观点。我们希望这项工作将简化探索性文献综述，并为学者提供合理的研究目标设计，并开发出能够解决研究空白的综合拨款提案。