The Open Data for Discovery Science Education Hackathon (DataEd Hackathon) seeks to encourage multi-disciplinary teams to develop educational modules that will enable to trainees to develop the practical skills needed for the analysis of publicly available, large-scale personalized “–omics” data in a reproducible and rigorous manner.
Reproducibility and rigor in biomedical research that leverages open data is an important topic that has been a subject of intense recent interest, and further, is not often addressed in Biomedical Informatics training curricula.
In response to this gap in knowledge, the goals for the DataEd Hackathon are:
- To highlight differences in approach to the problem of reproducing and/or replicating findings from published literature and;
- To extend the analysis of the dataset to other publicly available resources towards generating novel hypotheses.
- February 22, 2017: Registered teams will submit their preliminary educational modules, consisting of the items described in the call for participation, via the AMIA ScholarOne website. For any video content associated with these submissions, such media should be submitted as a URL for an unlisted video posted to Youtube (e.g., direct upload of video files will not be supported). All other content should be submitted as either a Microsoft Word or Powerpoint file, or as a PDF. These preliminary submissions will be judged by a panel of experts for: 1) quality; 2) completeness; and 3) coverage of the targeted educational bounties;
- March 28, 2017: The top 3 teams will each be given 30 minutes to present their modules, including demonstration of both didactic and interactive content, as well as an overview of their approach to covering the educational bounties. An expert panel will judge them for: 1) their response to the feedback provided by the judges; 2) the quality/completeness of their presentation; and 3) the overall creativity of their module. This in-person session will be confirmed with participants in advance of the meeting.