Open Data in Social Sciences

This dataset accompanies the study titled “Open Data in Social Sciences: Growth, Impact, and Equity in Data Paper Publishing,” which presents the first large-scale empirical assessment of peer-reviewed data papers in the domain of social sciences. With the increasing emphasis on data transparency, FAIR (Findable, Accessible, Interoperable, and Reusable) principles, and equitable research practices, this dataset provides a robust and replicable foundation for exploring how data papers are transforming scholarly communication, research impact, and global collaboration in the age of scientific crisis.
Drawing on a curated corpus of 3,957 peer-reviewed data papers indexed in Scopus, the dataset includes detailed bibliographic metadata, citation counts from major citation indices (Scopus, Web of Science, Google Scholar, Dimensions), and Altmetric attention scores reflecting societal engagement across platforms such as news media, policy documents, patents, and social media. The dataset further captures collaboration networks, institutional affiliations, funding acknowledgments, and journal-level compliance with FAIR and CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics) principles.
The accompanying analytical materials include:
• Preprocessed datasets in CSV and Excel formats for reproducibility.
• Altmetric scores mapped to individual publications.
• Research collaboration network, co-citation analysis and bibliographic coupling files generated using VOSviewer (Map and Network files).
• R Workspace file used for bibliometric analysis via the Bibliometrix R package.
• High-resolution PNG images of all figures and tables used in the publication.
Plotted data and analytical visualizations presented in the manuscript are also made available in this repository to enable full reproducibility of the findings and facilitate secondary analyses.
This dataset enables replication, extension, and methodological innovation in bibliometric, altmetric, and open science research. It is intended to support scholars, data librarians, research policymakers, and open science advocates in examining patterns of data publication, exploring citation and attention dynamics, and evaluating the role of funding and policy in shaping open data ecosystems. All materials are openly available for reuse under open access principles, promoting transparency, reproducibility, and inclusive participation in the data-driven transformation of the social sciences.
File Types Included:
• CSV (.csv): Scopus data
• Excel (.xlsx): Citation and Altmetric metrics
• Text (.txt): Network and co-citation files
• RData (.RData): Bibliometrix workspace
• Image (.png): Figures and tables

本数据集配套于题为《社会科学中的开放数据：数据论文出版的增长、影响与公平》的研究，该研究首次对社会科学领域的同行评议数据论文开展了大规模实证评估。随着数据透明度、FAIR（可发现、可获取、可互操作、可复用，Findable, Accessible, Interoperable, and Reusable）原则以及公平研究实践的关注度不断提升，本数据集为探索在科学危机时代，数据论文如何重塑学术传播、研究影响与全球协作提供了坚实且可复现的研究基础。
本数据集基于Scopus数据库收录的3957篇同行评议数据论文的精选语料库构建，包含详细的文献题录元数据、来自主要引文索引（Scopus、Web of Science、Google Scholar、Dimensions）的被引频次，以及反映新闻媒体、政策文件、专利、社交媒体等平台社会关注度的Altmetric注意力得分。本数据集还涵盖了协作网络、机构隶属关系、资助致谢信息，以及期刊在FAIR与CARE（集体利益、控制权、责任与伦理，Collective Benefit, Authority to Control, Responsibility, and Ethics）原则合规性方面的期刊层面表现。
随附的分析材料包括：
• 用于保障可复现性的CSV与Excel格式预处理数据集。
• 映射至单篇出版物的Altmetric得分。
• 使用VOSviewer生成的研究协作网络、共被引分析与文献耦合文件（图谱与网络文件）。
• 通过Bibliometrix R包开展文献计量分析所用的R工作区文件。
• 论文中所用全部图表的高分辨率PNG图像。
本仓库还提供了手稿中刊载的绘图数据与分析可视化结果，以实现研究发现的完全复现，并助力开展二次分析。本数据集可用于文献计量、Altmetric计量与开放科学领域研究的复现、拓展与方法创新。其旨在支持学者、数据馆员、研究政策制定者与开放科学倡导者开展数据出版模式分析、被引与关注度动态探究，以及评估资助与政策在塑造开放数据生态系统中所扮演的角色。所有材料均遵循开放获取原则公开可复用，以推动社会科学数据驱动转型中的透明度、可复现性与包容性参与。
包含的文件格式如下：
• CSV（.csv）：Scopus数据库数据
• Excel（.xlsx）：引文与Altmetric计量指标数据
• 文本（.txt）：网络与共被引文件
• RData（.RData）：Bibliometrix工作区文件
• 图像（.png）：图表文件