Database of the article Social acceptance of renewable energies: a meta-analytic review of the literature from the inception of the concept

These 285 documents have been used for the three sections that are part of the results of this article (documents statistics, bibliometric analysis, and literature review statistics). For this purpose, it was necessary to carry out an exhaustive review of the 285 selected documents and to complement this information with the data provided by Scopus. The data-charting process was as follows: the four researchers agreed on the types of data to be extracted, two of them carried out the review while the other two supervised. If any type of data worthy of investigation emerged during the reading, it was discussed, and if appropriate, included, making it an iterative process.

For each of the documents, the following variables were collected in a table: author/s, title of the document, year of publication, journal in which it was published, type of document (article or review), number of citations and citations per year, relevance (weighting given by Scopus), DOI, geographical location of researchers, abstract, author keywords and keywords suggested by Scopus, JIF, JCI and H-index information of the journal in which the document is published (with quartiles and percentiles), subject area categories provided by Scopus, territory studied, renewable energy source studied, research technique or methodology used, primary data source used and years collected. In addition, for articles using quantitative techniques, all variables included in each model have been collected.

本文的三项核心成果章节均依托这285份文献完成，分别为文献统计分析、文献计量分析与综述文献统计。为此，需对筛选出的285份文献进行全面梳理，并辅以Scopus数据库提供的相关数据以完善信息。本次的数据整理流程如下：四位研究人员首先共同敲定需提取的数据类型，其中两名研究人员负责开展文献梳理工作，剩余两名则承担监督职责。若在阅读过程中发现值得进一步调研的新型数据类型，则组织小组讨论，经审议符合要求后将其纳入提取范围，整体流程为迭代优化式的。针对每份文献，我们以标准化表格形式收集了以下变量：作者名单、文献标题、发表年份、刊载期刊、文献类型（期刊论文或综述）、总被引频次与年均被引频次、相关性评分（Scopus赋予的权重值）、数字对象标识符（DOI）、研究人员所属地理位置、摘要、作者关键词及Scopus推荐关键词、刊载期刊的期刊影响因子（Journal Impact Factor, JIF）、期刊引证指标（Journal Citation Indicator, JCI）及该刊的H指数（含分区与百分位排名）、Scopus提供的学科领域分类、研究区域、所研究的可再生能源类型、采用的研究技术或方法论、所用的原始数据源及数据收集年限。此外，针对采用定量研究技术的期刊论文，我们还额外收集了其各模型中涉及的全部变量。