SeedMe News

Presentation | 2018-10-23

Web-Based Data-Sharing Building Blocks For Researchers And Research Projects

Amit Chourasia
Presented at the HigherEd Web 2018 Conference, Sacramento, CA, Oct 23, 2018

The need for rapid data access and data sharing has become central with the rise of collaborative research in many disciplines. 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, this is not practical for sharing large numbers of science data files, like 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, and support for metadata and descriptive information that can record job and compute platform characteristics, input data, job parameters, job completion status, and other provenance information. In this talk I will present and discuss capabilities of the SeedMe2 project (Stream, Encode, Explore and Disseminate My Experiments) which aims to offer web based scientific data-sharing and data management platform that cater to the unique needs of researchers and fill an important gap in Research Cyberinfrastructure. The platform is built on Drupal 8. We welcome interested folks to try, explore and configure your own data sharing website at http://sandbox.seedme.org Attendees will learn how a popular and well used content management system can be used transformed to support data sharing and data management for research and general purposes.


DemonstrationPresentation |
2017-08-05 to 2017-08-06

Building a data sharing cloud on Drupal 8

Amit Chourasia & David Nadeau
Presented at the DrupalCampLA 2017, Irvine, CA, Aug 5-6, 2017
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Presentation | 2017-08-04

SeedMe: A Data Sharing Platform for the Research Community

Amit Chourasia
To be presented at the SDSC Summer Institute 2017, La Jolla, CA, Aug 4, 2017

Presentation | 2017-07-12

SeedMe: Data sharing building blocks

Amit Chourasia
Presented at the ARCC 17 workshop collocated with PEARC 17 conference, New Orleans, LA, Jul 12, 2017

Poster | 2017-07-11

SeedMe: Data sharing building blocks

Amit Chourasia, David R. Nadeau and Michael L. Norman
Presented at the PEARC 17 conference, New Orleans, LA, Jul 11, 2017
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Poster | 2017-04-13

SeedMe: Data sharing building blocks @ 7th National Data Service Consortium Workshop

Amit Chourasia, David R. Nadeau, John Moreland, Dmitry Mishin and Michael L. Norman
Presented (in absentia) at the 7th National Data Service Consortium Workshop, Chicago, IL, Apr 13, 2017

Presentation | 2017-01-13

Collaborative data sharing with SeedMe @ HIVE project meeting

Presented at the HIV Interaction and Viral Evolution Center (HIVE) project meeting, The Scripps Research Institute, La Jolla, CA, Jan 13, 2017

Presenter: Amit Chourasia, San Diego Supercomputer Center, UC San Diego

Third-party app | 2016-11-10

VisIt visualization software now has better integration with SeedMe.org. The latest version 2.12.0 ships with a graphical user interface to easily upload, share data and create videos from image sequences.

SeedMe2: Data sharing building block @ 2016 Gateways Conference

Chourasia, Amit; Nadeau, David; Moreland, John; Mishin, Dmitry; Norman, Michael (2017): SeedMe2: Data sharing building blocks. figshare. DOI: https://doi.org/10.6084/m9.figshare.4488371.v4

Presentation | 2016-11-03

Demo: SeedMe.org - Share data and visualization @ 2016 Gateways Conference

To be presented at the Gateways 2016 Conference, San Diego, CA, Nov 2, 2016

Presenter: Amit Chourasia, San Diego Supercomputer Center, UC San Diego

Tutorial | 2016-11-02

Tutorial: Data sharing via SeedMe @ 2016 Gateways Conference

To be presented at the Gateways 2016 Conference, San Diego, CA, Nov 2, 2016

Presenter: Amit Chourasia, San Diego Supercomputer Center, UC San Diego

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