Global Research Trends in Irrigation and Water Availability Dataset 2000–2024 A Scientometric Analysis

This dataset provides a curated collection of bibliographic records used in a scientometric analysis of global research trends in irrigation and water availability from 2000 to 2024. The dataset was developed to support the study entitled “Global research trends in irrigation and water availability using scientometric analysis for sustainable water management”. The data were retrieved from two major international scientific databases, Web of Science and Scopus, ensuring broad coverage of peer-reviewed literature. A structured Boolean search strategy was applied to identify publications at the intersection of irrigation practices, water resource management, and water availability, with emphasis on topics such as water use efficiency and precision agriculture. The dataset includes cleaned and standardized bibliographic metadata, such as authors, article titles, abstracts, keywords, publication year, journal names, citation counts, digital object identifiers (DOI), and country information (when available). Data processing involved merging records from different sources, removing duplicates, and harmonizing metadata using the Bibliometrix package in R. This dataset enables the replication of the scientometric analysis presented in the associated study and can be reused for further research on water resources, irrigation systems, sustainability, and global scientific collaboration networks. It is particularly relevant for studies addressing water security, climate change impacts on agriculture, and Sustainable Development Goal 6 (Clean Water and Sanitation). The dataset is provided in CSV format and accompanied by documentation describing the data structure, variables, and methodological procedures. Related Publication:Assane, C., Rodrigues, A. M., Rubio Neto, A., & da Silva Júnior, É. D. Global Research Trends in Irrigation and Water Availability: A Scientometric Analysis for Water Security and Sustainable Management. (under review) Notes:The dataset includes only English-language peer-reviewed articles and review papers indexed in Web of Science and Scopus databases. Other document types and regional databases were not included in this version.本数据集为经甄选的文献题录记录集合，用于开展2000年至2024年全球灌溉与水资源可得性领域研究态势的科学计量分析（scientometric analysis）。本数据集旨在支撑题为《面向可持续水资源管理的科学计量分析：全球灌溉与水资源可得性研究态势》的关联研究。 数据源自两大国际权威科学数据库：Web of Science与Scopus，可全面覆盖经同行评议的学术文献。研究采用结构化布尔检索策略，筛选出聚焦灌溉实践、水资源管理与水资源可得性交叉领域的文献，重点涵盖水资源利用效率、精准农业等主题。 本数据集包含经过清洗与标准化处理的文献题录元数据，具体包括作者、论文标题、摘要、关键词、发表年份、期刊名称、被引频次、数字对象标识符（DOI）以及可公开获取的国家归属信息。数据处理环节通过R语言的Bibliometrix工具包完成，涵盖多源记录合并、重复项剔除以及元数据归一化操作。 本数据集可复现关联研究中的科学计量分析流程，亦可被复用至水资源、灌溉系统、可持续性以及全球科学合作网络等领域的后续研究中。其尤其适用于围绕水安全、气候变化对农业的影响以及可持续发展目标6（Sustainable Development Goal 6）开展的相关研究。 本数据集以CSV格式提供，并附带说明文档，详细阐述数据结构、变量定义与研究方法流程。 关联出版物：Assane, C., Rodrigues, A. M., Rubio Neto, A., & da Silva Júnior, É. D. 《面向水安全与可持续管理的科学计量分析：全球灌溉与水资源可得性研究态势》（已投稿待审） 备注：本数据集仅收录Web of Science与Scopus数据库中索引的英文同行评议论文与综述类文献，本版本未纳入其他文献类型及区域数据库资源。