A digital repository with an extensible data model for biobanking and genomic analysis management

Massimiliano Izzo, Francesco Mortola, Gabriele Arnulfo, Marco M Fato, Luigi Varesio
2014 BMC Genomics  
Motivation: Molecular biology laboratories require extensive metadata to improve data collection and analysis. The heterogeneity of the collected metadata grows as research is evolving in to international multi-disciplinary collaborations and increasing data sharing among institutions. Single standardization is not feasible and it becomes crucial to develop digital repositories with flexible and extensible data models, as in the case of modern integrated biobanks management.
doi:10.1186/1471-2164-15-s3-s3 pmid:25077808 pmcid:PMC4083403 fatcat:fqftjr4uezhjhc3xhbdrqbufnq