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.


Poster |
2016-09-11 to 2016-09-13

SeedMe: Data sharing building blocks

Amit Chourasia, David R. Nadeau, John Moreland, Dmitry Mishin and Michael L. Norman
Presented at the SCEC 2016 annual meeting. Palm Spring, CA, Sep 11-14, 2016.

Tutorial | 2016-08-03

Data sharing tutorial @ 2016 SDSC summer institute

Introduction to Scientific Visualization and Data Sharing. Presented at the 2016 SDSC summer institute, San Diego, CA, Aug 3, 2016

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

Paper | 2016-07-21

SeedMe: A scientific data sharing and collaboration platform.

Amit Chourasia, Mona Wong, Dmitry Mishin, David R. Nadeau, and Michael Norman. 2016. SeedMe: A scientific data sharing and collaboration platform. In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale (XSEDE16). ACM, New York, NY, USA, , Article 48 , 6 pages. DOI=10.1145/2949550.2949590

Preprint PDF

Poster | 2016-07-20

SeedMe: Data sharing building blocks

Amit Chourasia, David R. Nadeau, John Moreland, Dmitry Mishin and Michael L. Norman
Presented at the XSEDE 2016 conference. Miami, FL Jul 17-21, 2016.
Download poster

Tutorial | 2016-07-18

Data sharing tutorial @ XSEDE 2016

Introduction to Scientific Visualization and Data Sharing. Presented at the XSEDE 2016 Conference, Miami, FL, Jul 17-21 2016

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

Webinar | 2016-06-21

Overview of SeedMe @ XSEDE Campus Champions Teleconference

In this talk we introduce the SeedMe platform which provides a web-based cyberinfrastructure to enable easy sharing and streaming of transient data and preliminary results directly from computing resources to a variety of platforms, from mobile devices to workstations. The SeedMe platform is open to all researchers and provides web browser based as well scriptable tools for easy integration with ad hoc computation workflows.

Webinar | 2016-06-21

SeedMe platform: Enabling scriptable data sharing @ XSEDE ECSS Symposium

Release | 2016-06-09

SeedMe has been upgraded to version 1.4, with several new improvements:

Presentation | 2016-05-17

Presented at the Best Practices in Data Infrastructure Workshop at the Pittsburg Supercomputer Center. Discuss the lessons learned and provide an overview of new and modular SeedMe platform under development. [Slides]

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

Release | 2015-12-15
SeedMe has been upgraded to version 1.3, with several new improvements.
  • Web services will support deletion of content, ownership transfer for collection and streamlined server response for query and messages.
  • Enhancements to existing features. Images now open in web browser instead of being downloaded
  • Several bug fixes.
  • Updated Python module and windows command line client to version 1.2.0. Download here.
  • Java client (To be released shortly)

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