众包
类型学
数据科学
知识管理
多样性(政治)
多学科方法
过程(计算)
计算机科学
主题分析
任务(项目管理)
互联网
社会学
万维网
定性研究
工程类
社会科学
操作系统
系统工程
人类学
作者
Regina Lenart-Gansiniec
标识
DOI:10.1177/01655515221118045
摘要
Crowdsourcing in science as collaborative online process through which non-professional and/or professional scientists incorporate a group of individuals of varying, diversity knowledge and skills, via an open call to the Internet and/or online platforms, to undertaking of a task in science, is an important strategy to support scientific research that has gained attention in academia and practitioners. While research efforts to date have focused on the benefits of crowdsourcing in science, its typology has yet to mature. Typologies are important in describing complex, multidisciplinary organisational forms such as crowdsourcing in science. The main purpose of this article is to identify and provide a typology of crowdsourcing in science. Based on the thematic analysis of publications collected in a systematic manner and focused group interviews, 12 types of crowdsourcing in science are identified. The proposed crowdsourcing in science typology matrix may be a starting point for future research and decision-making by practitioners regarding the choice of a specific type of crowdsourcing in science.
科研通智能强力驱动
Strongly Powered by AbleSci AI