Bioinformatics Seminar
Time:
Venue: Na
6 February 2018
NaLessons in Disaster: What Can We Learn From Data Analysis Failures?
Roger PengJohns Hopkins University
The details of data analysis failures are often not publicly observable ; making it difficult to develop a systematic understanding of how failures occur and how they can be prevented in the future. Most published analyses barely provide sufficient details of successful analyses ; much less any failures. Reproducible research is a concept that has been promoted recently as a way to increase transparency in analysis ; however it is not clear what value it has in preventing failure. I will discuss some case studies of widely publicized data analysis failures and attempt to distill what ; if any ; lessons we can take from these cases to improve future analyses.;;;