DFS: A Dataset File System for Data Discovering Users
Many research questions can be answered quickly and efficiently using data already collected for previous research. This practice is called secondary data analysis, and has gained popularity due to lower costs and improved research efficiency. In this paper we propose DFS, a file system to standardize the metadata representation of datasets, and DDU, a scalable architecture based on DFS for semi-automated metadata generation and data recommendation on the cloud, and explores their implications on datasets stored in digital libraries.