Survey result data: Insights into the use and adoption of standards metadata for Uncrewed Aerial Vehicle (UAV) data

This dataset contains data collected through a survey conducted to gather insights into the use and adoption of metadata standards for UAV data. The survey data was collected from the 20th of May to the 27th of June of 2025, yielding a total of 71 responses in that time period. The survey aimed to capture participants’ professional roles, experience with UAV data, awareness and use of FAIR data principles, and views on essential elements for a UAV metadata framework. The questionnaire combined closed- and open-ended questions and was structured into sections covering respondent background, understanding of FAIR principles, UAV data experience, awareness of existing metadata frameworks and standards, preferred metadata elements, and perceived barriers and enablers to adoption. An online questionnaire was distributed via LinkedIn, online learning platforms, email groups, and other academic and professional networks to reach a broad audience of researchers, practitioners, and data specialists in geospatial, remote sensing, and UAV-related fields. Responses were collected anonymously and analysed to identify trends in data documentation practices and community needs for improved metadata standardisation.

本数据集源自一项针对无人机（Unmanned Aerial Vehicle，UAV）数据元数据标准（Metadata Standards）的使用与采用情况的调研所收集的原始数据。该调研于2025年5月20日至6月27日期间开展，共回收有效问卷71份。本次调研旨在采集受访者的职业身份、无人机数据使用经验、对FAIR数据原则（FAIR Data Principles）的认知与应用情况，以及对无人机元数据框架核心要素的观点。问卷融合了封闭式与开放式问题，整体结构分为多个板块，涵盖受访者背景、FAIR原则认知、无人机数据使用经验、现有元数据框架与标准认知、偏好的元数据要素，以及元数据采用的感知障碍与推动因素。调研通过领英（LinkedIn）、在线学习平台、邮件群组及其他学术与专业网络发放线上问卷，覆盖地理空间、遥感及无人机相关领域的广大研究人员、从业者与数据专家。所有答卷均匿名回收，后续将通过数据分析识别数据文档实践的行业趋势，以及社区在元数据标准化优化方面的实际需求。