Digital Scholar Webinar: Crowdsourcing applied to knowledge management in translational research: the Gene Wiki and Mark2Cure


Overview

Crowdsourcing involves the engagement of large communities of individuals to collaboratively accomplish tasks at massive scale.  These tasks could be online or offline, paid or for free. But how can crowdsourcing science help your research? This webinar will describe two crowdsourcing projects for translational research, both of which aim to better organize biomedical information so that it can be more easily accessed, integrated, and queried: 

First, the goal of the Gene Wiki project is to create a community-maintained knowledge base of all relationships between biological entities, including genes, diseases, drugs, pathways, and variants.  This project draws on the collective efforts of informatics researchers from a wide range of disciplines, including bioinformatics, cheminformatics, and medical informatics.

Second, the Mark2Cure project partners with the citizen scientist community to extract structured content from biomedical abstracts with an emphasis on rare disease. Although citizen scientists do not have any specialized expertise, after receiving proper training, Mark2Cure has shown that in aggregate they perform bio-curation at an accuracy comparable to professional scientists. 


Speaker

Andrew Su, PhD, Professor, Department of Integrative, Structural and Computational Biology, The Scripps Research Institute


Learning Objectives

  • Understand the concept of crowdsourcing for research purposes.
  • Describe how crowdsourcing projects can aid in organizing biomedical information so that it can be more easily accessed, integrated, and queried.

NIH Funding Acknowledgment: Important - All publications resulting from the utilization of SC CTSI resources are required to credit the SC CTSI grant by including the NIH funding acknowledgment and must comply with the NIH Public Access Policy.