Knowledge transfer and science communication in researchers' engagement portfolios: Survey data from Spain, 2022

This dataset contains anonymised survey data on knowledge transfer (KT) and science communication (SC) activities among researchers affiliated with Spanish universities and public research organisations. The data come primarily from the 2022 wave of a national survey of Spanish corresponding authors of Web of Science publications from 2013–2016, complemented with selected researcher-level variables collected in the 2018 wave and bibliometric indicators derived from publication and citation records. The dataset includes aggregated domain-level and channel-level variables capturing researchers’ engagement in KT and SC. These include binary indicators of engagement in KT and SC, breadth measures capturing the extent of engagement within each domain, and channel variables derived from theoretically informed groupings and exploratory factor analysis. KT channels include informal KT, response-oriented KT, commercial KT, training-related KT and co-creation KT. SC channels include media-based SC, professional SC, fiction-based SC and artistic SC. In some cases, particularly for SC, channel variables correspond to single-item measures where the survey design did not support broader factor-based aggregation. The data were used to examine whether KT and SC coexist within researchers’ engagement portfolios and whether their relationship varies across specific channels. The dataset also includes variables used as controls in robustness analyses, such as scientific field, multidisciplinarity, gender, age, organisational affiliation, scientific impact, affective and motivational orientations, resilience, social desirability measures and prior literary/artistic breadth. All data have been anonymised. Direct identifiers have been removed, and variables have been prepared to reduce disclosure risk while preserving the possibility of reproducing the main descriptive and regression analyses reported in the associated article. A related preprint will be made available through the CSIC institutional repository. The record will be updated with the preprint citation and DOI/link once available.本数据集包含经匿名化处理的调研数据，聚焦西班牙高校及公共研究机构附属科研人员的知识转移（Knowledge Transfer, KT）与科学传播（Science Communication, SC）活动情况。数据主要来自2022年的一项全国性调研，该调研针对2013–2016年《Web of Science》收录论文的西班牙通讯作者展开，同时补充了2018年调研中采集的部分科研人员个体层面变量，以及基于发表与引用记录提取的文献计量指标。 数据集包含聚合后的领域层面与渠道层面变量，用以刻画科研人员参与知识转移与科学传播活动的情况。其中涵盖知识转移与科学传播参与情况的二分类指标、衡量各领域内参与广度的测度指标，以及基于理论驱动分类与探索性因子分析得到的渠道变量。知识转移渠道包括非正式知识转移、响应导向型知识转移、商业化知识转移、培训相关知识转移与共创式知识转移；科学传播渠道则涵盖基于媒体的科学传播、专业型科学传播、基于虚构作品的科学传播与艺术化科学传播。部分场景下（尤其是科学传播相关变量），由于调研设计无法支持基于因子的更广泛聚合，渠道变量仅采用单条目测度。 本数据集曾被用于探究科研人员的参与组合中是否同时存在知识转移与科学传播活动，以及二者的关联是否因具体渠道而异。此外，数据集还包含稳健性检验中所用的控制变量，具体包括科研领域、多学科性、性别、年龄、所属机构、学术影响力、情感与动机取向、韧性、社会期许性测度，以及既往文学/艺术参与广度等。 所有数据均已完成匿名化处理：已移除直接标识符，并对变量进行处理以降低信息披露风险，同时保留复现相关论文中所述主要描述性分析与回归分析的可行性。 相关预印本将通过西班牙国家研究委员会（Consejo Superior de Investigaciones Científicas, CSIC）机构知识库发布，待预印本的引用信息与DOI/链接确定后，本数据集记录将进行更新。