Capturing and supporting contexts for scientific data sharing via the biological sciences collaboratory

Scientific collaboration is largely focused on the sharing and joint analysis of scientific data and results. Today, a movement is afoot within the scientific computing community to shift “collaboratory” development from traditional tool-centric approaches to more data-centric ones. Yet, to effectively support data sharing means more than providing a common repository for storing and retrieving shared data sets. In order to reasonably comprehend and apply another researcher’s data set, the scientist must grasp the various contexts of the data as it relates to the overall data space, applications, experiments, projects, and the scientific community. Under development at the Pacific Northwest National Laboratory, the Biological Sciences Collaboratory (BSC) enables the sharing of biological data and analyses through diverse capabilities such as metadata capture, electronic laboratory notebooks, data organization views, data provenance tracking, analysis notes, task management, and ...

• Type: Conference
• Year: 2004
• Where: CSCW
• Authors: George Chin Jr., Carina Lansing
• Keywords: CSCW 2004, Data Sharing, Data Sharing Contexts, Scientific, Social Sciences