Understanding large amounts of online research works is extremely complex and time-consuming nowadays. The European and scientific commissions have recently highlighted the importance of implementing a research data management system in higher education institutes which combines technical as well as organizational solutions. In this paper, a semi-automated crowdsourcing approach is proposed to engage humans in the summarization task of scientific data. Semantic wiki technology is used to enable self-organization of crowdworkers and collaboration between them. In order to deal with these problems, the analysis and summarization of research findings is a task that can be outsourced to a crowd of researchers. A scientific data ontology and a crowdsourcing approach are proposed. They represent the main aspects of a collaborating research community that exploits data crowdsourcing to derive state of the art and/or survey reports. It is designed to fit the requirements for a quality report reflecting a timely tracking of research progress in a given domain
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.