This years’ DREAM Challenges@RECOMB workshop has two main objectives. The first objective is to present the final results of two recent Challenges: the precision FDA-NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge and the ICGC-TCGA DREAM Somatic Mutation Calling – RNA Fusion Detection Challenge. The second objective is to foster an in-depth dialogue between various big-data initiatives being carried out by different agencies in the US Federal Government (such as NCI and NASA) and the scientific community, to explore the role that crowd-sourced Challenges can play in increasing the creative use of data in big-data projects. For this we have invited administrators and scientists leading big data projects to present talks focusing on what these initiatives are doing programmatically and scientifically. This will be followed by a panel discussing how each of these initiatives could benefit by crowd-sourcing their data through scientific challenges. After the panel we will break into groups and work on potential challenges of relevance to these programs. The day should provide an incentive for large-scale data initiatives to leverage crowdsourced challenges as a strategy for enhanced data use by the community and an overview on the process of challenge organization from inception to results.
DREAM CHALLENGES@RECOMB 2019 was held in The George Washington University on May 4, 2019.