Abstract
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
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