Building research data handling systems with open source tools
Claus Stie Kallesøe
Pharmaceutical discovery and development requires handling of complex and varied data across the process pipeline. This covers chemical structures information, biological assay and structure versus activity data, as well as logistics for compounds, plates and animals. An enterprise research data handling system must meet the needs of industrial scientists and the demands of a regulatory environment, and be available to external partners. Within Lundbeck, we have adopted a strategy focused on agile and rapid internal development using existing open source software toolkits. Our small development team developed and integrated these tools to achieve ...