Open Science for Social Sciences and Humanities: Open Access availability and distribution across disciplines and Countries in OpenCitations Meta - RESULTS DATASET (with Mega Journals)
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The dataset contains all the data produced running the research software for the study:"Open Science for Social Sciences and Humanities: Open Access availability and distribution across disciplines and Countries in OpenCitations Meta". Disclaimer: these results are not considered to be representative, because we have fount that Mega Journals skewed significantly some of the data. The result datasets without Mega Journals are published here. Description of datasets: SSH_Publications_in_OC_Meta_and_Open_Access_status.csv: containing information about OpenCitations Meta coverage of ERIH PLUS Journals as well as their Open Access availability. In this dataset, every row holds data for a Journal of ERIH PLUS also covered by OpenCitations Meta database. It is structured with the following columns: "EP_id", the internal ERIH PLUS identifier; "Publications_in_venue", the numbers of Publications counted in each venue; "OC_omid", the internal OpenCitations Meta identifier for the venue; "issn", numbers of publications in each venue; "Open Access", a value to represent if the journal is OA or not, either "True" or "Unknown". SSH_Publications_by_Discipline.csv: containing information about number of publications per discipline (in addition, number of journals per discipline are also included). The dataset has three columns, the first, labeled "Discipline", contains single disciplines of the ERIH classificaton, the second and the third, labeled "Journal_count" and "Publication_count", respectively, the number of Journals and the number of Publications counted for each discipline. SSH_Publications_and_Journals_by_Country: containing information about number of publications and journals per country. The dataset has three columns, the first, labeled "Country", contains single countries of the ERIH classificaton, the second and the third, labeled "Journal_count" and "Publication_count", respectively, the number of Journals and the number of Publications counted for each discipline. result_disciplines.json: the dictionary containing all disciplines as key and a list of related ERIH PLUS venue identifiers as value. result_countries.json: the dictionary containing all countries as key and a list of related ERIH PLUS venue identifiers as value. duplicate_omids.csv: a dataset containing the duplicated Journal entries in OpenCitations Meta, structured with two columns: "OC_omid", the internal OC Meta identifier; "issn", the issn values associated to that identifier eu_data.csv: contains the data specific for European countries' SSH Journals covered in OCMeta. It is structured with the following columns: "EP_id", the internal ERIH PLUS identifier; "Publications_in_venue", the numbers of Publications counted in each venue; "Original_Title", "Country_of_Publication","ERIH_PLUS_Disciplines", "disc_count", the number of disciplines per Journal. eu_disciplines_count.csv: containing information about number of publications per discipline and number of journals per discipline of european countries. The dataset has three columns, the first, labeled "Discipline", contains single disciplines of the ERIH classificaton, the second and the third, labeled "Journal_count" and "Publication_count", respectively, the number of Journals and the number of Publications counted for each discipline. meta_coverage_eu.csv: contains the data specific for European countries' SSH Journals covered in OCMeta. It is structured with the following columns: "EP_id", the internal ERIH PLUS identifier; "Publications_in_venue", the numbers of Publications counted in each venue; "OC_omid", the internal OpenCitations Meta identifier for the venue; "issn", numbers of publications in each venue; "Open Access", a value to represent if the journal is OA or not, either "True" or "Unknown". us_data.csv: contains the data specific for the United States' SSH Journals covered in OCMeta. It is structured with the following columns: "EP_id", the internal ERIH PLUS identifier; "Publications_in_venue", the numbers of Publications counted in each venue; "Original_Title", "Country_of_Publication","ERIH_PLUS_Disciplines", "disc_count", the number of disciplines per Journal. us_disciplines_count.csv: containing information about number of publications per discipline and number of journals per discipline of the United States. The dataset has three columns, the first, labeled "Discipline", contains single disciplines of the ERIH classificaton, the second and the third, labeled "Journal_count" and "Publication_count", respectively, the number of Journals and the number of Publications counted for each discipline. meta_coverage_us.csv: contains the data specific for the United States' SSH Journals covered in OCMeta. It is structured with the following columns: "EP_id", the internal ERIH PLUS identifier; "Publications_in_venue", the numbers of Publications counted in each venue; "OC_omid", the internal OpenCitations Meta identifier for the venue; "issn", numbers of publications in each venue; "Open Access", a value to represent if the journal is OA or not, either "True" or "Unknown". Abstract of the research: Purpose: this study aims to investigate the representation and distribution of Social Science and Humanities (SSH) journals within the OpenCitations Meta database, with a particular emphasis on their Open Access (OA) status, as well as their spread across different disciplines and countries. The underlying premise is that open infrastructures play a pivotal role in promoting transparency, reproducibility, and trust in scientific research. Study Design and Methodology: the study is grounded on the premise that open infrastructures are crucial for ensuring transparency, reproducibility, and fostering trust in scientific research. The research methodology involved the use of secondary data sources, namely the OpenCitations Meta database, the ERIH PLUS bibliographic index, and the DOAJ index. A custom research software was developed in Python to facilitate the processing and analysis of the data. Findings: the results reveal that 78.1% of SSH journals listed in the European Reference Index for the Humanities (ERIH-PLUS) are included in the OpenCitations Meta database. The discipline of Psychology has the highest number of publications. The United States and the United Kingdom are the leading contributors in terms of the number of publications. However, the study also uncovers that only 38% of the SSH journals in the OpenCitations Meta database are OA. Originality: this research adds to the existing body of knowledge by providing insights into the representation of SSH in open bibliographic databases and the role of open access in this domain. The study highlights the necessity for advocating OA practices within SSH and the significance of open data for bibliometric studies. It further encourages additional research into the impact of OA on various facets of citation patterns and the factors leading to disparity across disciplinary representation. Related resources: Ghasempouri S., Ghiotto M., & Giacomini S. (2023). Open Science for Social Sciences and Humanities: Open Access availability and distribution across disciplines and Countries in OpenCitations Meta - RESEARCH ARTICLE. https://doi.org/10.5281/zenodo.8263908 Ghasempouri, S., Ghiotto, M., Giacomini, S., (2023). Open Science for Social Sciences and Humanities: Open Access availability and distribution across disciplines and Countries in OpenCitations Meta - DATA MANAGEMENT PLAN (Version 4). Zenodo. https://doi.org/10.5281/zenodo.8174644 Ghasempouri, S., Ghiotto, M., Giacomini, S. (2023e). Open Science for Social Sciences and Humanities: Open Access availability and distribution across disciplines and Countries in OpenCitations Meta - PROTOCOL. V.5. (https://dx.doi.org/10.17504/protocols.io.5jyl8jo1rg2w/v5)
本数据集包含为以下研究项目运行科研软件所产生的全部数据："面向人文与社会科学的开放科学：OpenCitations Meta（开放引用元数据库）中各学科与国家的开放获取可及性与分布情况"。 免责声明：本研究结果不具备代表性，经发现大型期刊（Mega Journals）已对部分数据造成显著偏倚。剔除大型期刊后的结果数据集已在此处发布。 ### 数据集详细说明 1. **SSH_Publications_in_OC_Meta_and_Open_Access_status.csv**：包含ERIH PLUS（欧洲人文与社会科学参考索引）期刊在OpenCitations Meta（开放引用元数据库）中的收录情况，以及这些期刊的开放获取（Open Access, OA）可及性信息。本数据集每一行对应一条被OpenCitations Meta收录的ERIH PLUS期刊数据。其字段结构如下："EP_id"：ERIH PLUS内部标识符；"Publications_in_venue"：该刊载文总量；"OC_omid"：该刊在OpenCitations Meta中的内部标识符；"issn"：该刊的国际标准连续出版物号；"Open Access"：表示该期刊是否为OA期刊的字段，取值为"True"或"Unknown"。 2. **SSH_Publications_by_Discipline.csv**：包含按学科划分的载文量信息（同时包含对应学科的期刊数量）。本数据集共包含三列：第一列为"Discipline"，收录ERIH分类体系下的单个学科；第二列与第三列分别为"Journal_count"（期刊数量）与"Publication_count"（载文总量），对应各学科的期刊数与载文数。 3. **SSH_Publications_and_Journals_by_Country**：包含按国家划分的载文量与期刊数量信息。本数据集共包含三列：第一列为"Country"，收录ERIH分类体系下的单个国家；第二列与第三列分别为"Journal_count"（期刊数量）与"Publication_count"（载文总量），对应各国家的期刊数与载文数。 4. **result_disciplines.json**：该字典以所有学科为键，以对应ERIH PLUS刊载物标识符列表为值。 5. **result_countries.json**：该字典以所有国家为键，以对应ERIH PLUS刊载物标识符列表为值。 6. **duplicate_omids.csv**：该数据集包含OpenCitations Meta中重复的期刊条目，包含两列："OC_omid"：OpenCitations Meta内部标识符；"issn"：与该标识符关联的国际标准连续出版物号。 7. **eu_data.csv**：包含OpenCitations Meta收录的欧洲国家人文与社会科学期刊的专属数据。其字段结构如下："EP_id"：ERIH PLUS内部标识符；"Publications_in_venue"：该刊载文总量；"Original_Title"：期刊原标题；"Country_of_Publication"：出版国家；"ERIH_PLUS_Disciplines"：ERIH PLUS分类学科；"disc_count"：该期刊所属学科数量。 8. **eu_disciplines_count.csv**：包含欧洲国家按学科划分的载文量与期刊数量信息。本数据集共包含三列：第一列为"Discipline"，收录ERIH分类体系下的单个学科；第二列与第三列分别为"Journal_count"（期刊数量）与"Publication_count"（载文总量），对应各学科的期刊数与载文数。 9. **meta_coverage_eu.csv**：包含OpenCitations Meta收录的欧洲国家人文与社会科学期刊的专属数据。其字段结构如下："EP_id"：ERIH PLUS内部标识符；"Publications_in_venue"：该刊载文总量；"OC_omid"：该刊在OpenCitations Meta中的内部标识符；"issn"：该刊的国际标准连续出版物号；"Open Access"：表示该期刊是否为OA期刊的字段，取值为"True"或"Unknown"。 10. **us_data.csv**：包含OpenCitations Meta收录的美国人文与社会科学期刊的专属数据。其字段结构如下："EP_id"：ERIH PLUS内部标识符；"Publications_in_venue"：该刊载文总量；"Original_Title"：期刊原标题；"Country_of_Publication"：出版国家；"ERIH_PLUS_Disciplines"：ERIH PLUS分类学科；"disc_count"：该期刊所属学科数量。 11. **us_disciplines_count.csv**：包含美国按学科划分的载文量与期刊数量信息。本数据集共包含三列：第一列为"Discipline"，收录ERIH分类体系下的单个学科；第二列与第三列分别为"Journal_count"（期刊数量）与"Publication_count"（载文总量），对应各学科的期刊数与载文数。 12. **meta_coverage_us.csv**：包含OpenCitations Meta收录的美国人文与社会科学期刊的专属数据。其字段结构如下："EP_id"：ERIH PLUS内部标识符；"Publications_in_venue"：该刊载文总量；"OC_omid"：该刊在OpenCitations Meta中的内部标识符；"issn"：该刊的国际标准连续出版物号；"Open Access"：表示该期刊是否为OA期刊的字段，取值为"True"或"Unknown"。 ### 研究摘要 #### 研究目的 本研究旨在探究人文与社会科学（Social Sciences and Humanities, SSH）期刊在OpenCitations Meta（开放引用元数据库）中的收录情况与分布特征，重点关注其开放获取可及性，以及跨学科与跨国的分布格局。本研究的核心前提为：开放基础设施对于提升科学研究的透明度、可重复性与可信度具有关键作用。 #### 研究设计与方法 本研究基于"开放基础设施对保障科研透明度、可重复性及可信度至关重要"这一前提展开。研究方法采用二手数据源，具体包括OpenCitations Meta数据库、ERIH PLUS（欧洲人文与社会科学参考索引）文献索引库与DOAJ（开放获取期刊目录）索引库。研究团队使用Python开发了定制化科研软件，以辅助数据处理与分析工作。 #### 研究发现 结果显示，在ERIH PLUS收录的SSH期刊中，有78.1%被纳入OpenCitations Meta数据库。心理学学科的载文量最高，美国与英国的载文总量位居全球前列。然而，本研究同时发现，在OpenCitations Meta收录的SSH期刊中，仅有38%为OA期刊。 #### 研究创新性 本研究为现有学术知识库补充了SSH领域在开放书目数据库中的收录情况，以及开放获取在该领域的作用相关洞见。研究强调了在SSH领域推广OA实践的必要性，以及开放数据在文献计量研究中的重要意义。本研究还呼吁开展更多相关研究，以探究OA对引用模式各维度的影响，以及导致学科收录差异的潜在因素。 ### 相关资源 1. Ghasempouri S., Ghiotto M., & Giacomini S. (2023). 面向人文与社会科学的开放科学：OpenCitations Meta中各学科与国家的开放获取可及性与分布情况——研究论文. https://doi.org/10.5281/zenodo.8263908 2. Ghasempouri, S., Ghiotto, M., Giacomini, S., (2023). 面向人文与社会科学的开放科学：OpenCitations Meta中各学科与国家的开放获取可及性与分布情况——数据管理计划（版本4）. Zenodo. https://doi.org/10.5281/zenodo.8174644 3. Ghasempouri, S., Ghiotto, M., Giacomini, S. (2023e). 面向人文与社会科学的开放科学：OpenCitations Meta中各学科与国家的开放获取可及性与分布情况——研究方案（V.5）. https://dx.doi.org/10.17504/protocols.io.5jyl8jo1rg2w/v5
