A Virtual Crowdsourcing Community for Open Collaboration in Science Processes

Although science has become an increasingly collaborative endeavor over the last hundred years, only little attention has been devoted to supporting scientific communities. Our work focuses on scientific collaborations that revolve around complex science questions that require significant coordination to synthesize multi-disciplinary findings, enticing contributors to remain engaged for extended periods of time, and continuous growth to accommodate new contributors as needed as the work evolves over time. This paper presents a virtual crowdsourcing community for open collaboration in science processes to address these challenges. Our solution is based on the Semantic MediaWiki and extends it with new features for scientific collaboration. We present preliminary results from the usage of the interface in a pilot research project. Keywords Organic Data Science, Semantic MediaWiki, scientific collaboration, virtual crowdsourcing community. Motivation Over the last hundred years, science ...

• Type: Journal
• Year: 2015
• Where: AMCIS
• Authors: Yolanda Gil, Matheus Hauder, Felix Michel, Varun Ratnakar
• Keywords: AMCIS 2015, Business