遇见数据集

Online Survey: Knowledge of Sex and Gender in German Data Integration Centers

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Zenodo2025-08-30 更新2026-05-26 收录
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The original survey questionnaire (Survey_Questions.pdf) consists of 11 single- and multiple-choice questions and was developed to assess the level of knowledge among Data Integration Centers in Germany regarding sex, gender, and the use of gender scores. The questionnaire was distributed in February 2024 to the entire German Data Integration Centers community via a national mailing list, and is presented in its original German language. An English translation of the questionnaire is also provided (Survey_Questions_Translated.pdf). Please note that the translation of the survey may result in slight variations in the questionnaire's subtleties. The dataset (Survey_Dataset.csv) contains the responses from the survey, with question titles and answer options translated to English, while keeping the originally given German responses by participants in the short-answer fields to maintain subtleties and nuances. The dataset contains information about each participant, including their case number (CASE), time spent answering the survey (TIME_SUM), and completion status (FINISHED), as well as their responses to the 11 questions, which are sorted as they appeared in the survey. Responses to single-choice questions are directly shown (Yes, No, not specified, I don't know), while the answer options of multiple-choice questions are listed separately (e.g. Gender_Classification+female, Gender_Classification+male, ...) and are coded as TRUE (if selected) or FALSE (if not selected). Multiple choice questions are also summarized in an additional column (Gender_Classification, Gender_Coding_Options, Gender_Scores) which indicates whether the question was answered and how many answering options were selected. The code used for the analysis was written in R (version 4.3.1) and is provided in both PDF and R Markdown formats(Survey_Analysis.pdf und Survey_Analysis.qmd). First results were already published as conference abstract: https://doi.org/10.3205/24gmds016

原始调查问卷(Survey_Questions.pdf)包含11道单项及多项选择题,旨在评估德国数据集成中心(Data Integration Centers)从业者在生理性别、社会性别以及性别评分使用方面的知识水平。该问卷于2024年2月通过全国性邮件列表向德国全体数据集成中心行业社区发放,原文为德语,同时附带了英文翻译版本(Survey_Questions_Translated.pdf)。请注意,问卷的翻译过程可能会导致细微的语义差异。 本数据集(Survey_Dataset.csv)收录了本次调查的全部应答数据,其中题目名称与作答选项均已译为英文,但保留了参与者在简答题字段中最初提交的德语应答内容,以保留原始数据的细节与细微差异。数据集包含每位参与者的相关信息,包括其案例编号(CASE)、问卷作答总时长(TIME_SUM)、完成状态(FINISHED),以及11道调查题的作答结果,题目顺序与原问卷中的呈现顺序完全一致。单项选择题的作答结果将直接展示(如“是”“否”“未说明”“我不知道”),而多项选择题的作答选项将单独列出(例如Gender_Classification+female、Gender_Classification+male等),并以TRUE(已选中)或FALSE(未选中)进行编码。此外,多项选择题的作答情况还会在额外的汇总列(Gender_Classification、Gender_Coding_Options、Gender_Scores)中进行统计,该列将说明该题目是否已作答以及选中了多少个作答选项。 本次分析所用代码基于R语言(版本4.3.1)编写,同时提供了PDF与R Markdown两种格式的文件(Survey_Analysis.pdf及Survey_Analysis.qmd)。本次调查的初步研究结果已作为会议摘要发表:https://doi.org/10.3205/24gmds016

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2025-08-30
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