Facilitating large data management in research contexts

Research data management is becoming increasingly complex as the amount of data, metadata and code increases. Often, researchers must obtain multidisciplinary skills to acquire, transfer, share, and compute large datasets. In this paper we present the results of an investigation into providing a familiar web-based experience for researchers to manage their data and code, leveraging popular, well-funded tools and services. We show how researchers can save time and avoid mistakes, and we provide a detailed discussion of our system architecture and implementation, and summarize the new capabilities, and time savings which can be achieved.