Ethics and Big Data - bibliometric analysis

Documents were collected on July 6th, 2020, by research on the web search engine Web of Science Core Collection. We searched for the topic: \"Big Data\" and \"Ethic*\" in all categories in the period, 1900-2020. In the WoS database, the fields mined to return results in a common 'topic search' are: • The title of the article, review, proceedings, book, etc. • The abstract – which is the work's summary containing the key points discussed, such as research question, methodology, discussion, and conclusion. This field is supplied by the author(s) of the paper. • The keywords and keywords plus fields: The keywords field is the one supplied by the author(s) and \"tags\" the main and sub-topics of the paper's content. The keywords plus field is an algorithm that provides expanded terms stemming from the record's cited references or bibliography. The total number of obtained documents was 892 (Table 1). Evaluation of data was conducted with the use of bibliometric software, HistCite, and VOSviewer.

本数据集于2020年7月6日通过Web of Science核心合集（Web of Science Core Collection）学术数据库检索获取。本次检索覆盖1900年至2020年的全学科范畴，检索主题为“大数据（Big Data）”与“Ethic*”。在Web of Science（WoS）数据库中，常规主题检索所覆盖的字段包括：1. 文章、综述、会议论文、图书等文献的标题；2. 摘要：即文献的核心内容总结，涵盖研究问题、研究方法、讨论与结论等关键要点，该字段由论文作者提供；3. 关键词与关键词扩展（keywords plus）字段：其中，关键词字段由论文作者提供，用于标注论文内容的主、子研究主题；关键词扩展字段则通过算法，基于文献的被引参考文献或参考文献列表生成扩展检索词。本次检索最终共获取文献892篇（详见表1）。本数据集的分析评估依托文献计量学软件HistCite与VOSviewer完成。