LabbookDB currently ships a relational database structure for life science research along with a number of functions to conveniently add\/retrieve information and generate summaries. The core concept of LabbookDB is that most of the information classically tracked in a lab book can be more efficiently and more reliably \u2026<\/p>","content":"
LabbookDB currently ships a relational database structure for life science research along with a number of functions to conveniently add\/retrieve information and generate summaries. The core concept of LabbookDB is that most of the information classically tracked in a lab book can be more efficiently and more reliably stored in a relational database. We overcome the portability limitations of designed-for-analysis spreadsheets and databases by building the database schema around atomized physical interactions of objects in the laboratory (and providing ready-for-analysis dataframes as a compatibility layer). LabbookDB provides a wet work metadata storage model excellently suited for explorative ex-post reporting and analysis, as well as a great infrastructure for automated wet work tracking.<\/p>\n","category":[{"@attributes":{"term":"SciPy 2017"}},{"@attributes":{"term":"LabbookDB"}}]}}