The need for rapid data access and data sharing has become central with the rise of collaborative research in many disciplines. Join Amit Chourasia on Wednesday, April 4, for a presentation on听SeedMe2, which听provides web-based data sharing building blocks for researchers and research projects.
The event听at Norlin Library is hosted by the Center for Research Data and Digital Scholarship (CRDDS), a partnership between Research Computing and University Libraries.
麻豆视频 the talk
While several commodity file-sharing products are available for general use, they are not well-suited for research data, as they primarily rely on manual user interfaces to add or remove a few shared files, which听is not practical for sharing large numbers of science data files, such as those generated during and after computation. Instead, automated and scriptable mechanisms are required that can integrate into computation workflows to post files during and after computation jobs.
Furthermore scientific data often requires support for collaborative discussion of research results, quick rough-draft visualizations to analyze the data听and support for metadata and descriptive information that can record job and compute platform characteristics, input data, job parameters, job completion status听and other provenance information.
Who: Faculty, students and staff
What: Seed2Me presentation
When: Wednesday, April 4, 10 a.m.
Where: Norlin Library, room E206
In this talk, Chourasia will present and discuss capabilities of the SeedMe2 (Stream, Encode, Explore and Disseminate My Experiments) project, which aims to offer a web-based scientific data-sharing and data-management platform that caters to the unique needs of researchers and fills an important gap in research cyberinfrastructure.
Those who are interested are welcome to听.
麻豆视频 the speaker
Chourasia is a senior visualization scientist at the San Diego Supercomputer Center at听University of California San Diego, where he leads the Visualization Group. His work is focused on leading the research, development and application of software tools and techniques for visualization.
Results and data sharing are also at a forefront of his interests; to this end, his team has developed a web-based cloud infrastructure to enable this important听and, at times, critical听gap in scientific process via the SeedMe1 and听2 projects.
