Scientific Workflows and Gateways: Glossary

Key Points

Introduction to Scientific Gateways and Workflows
  • Scientific gateways are online community spaces providing web-based resources for accessing data, software, computing services, and equipment specific to the needs of a research discipline.

  • Scientific workflows are computational processes which aid in the automation and managing of data-intensive computing tasks while also removing the direct handling of cyberinfrastructure complexities from users.

Using and Developing Gateways and Some Gateways of Interest
  • Scientific gateways can provide researchers various features such as computational resources, workflow tools, and collaborative interfaces.

  • There are various resources available for researchers interested in developing scientific gateways that can help educate them on various aspects of gateway development and where to get started.

  • There are many scientific gateways aimed towards specific research communities already in existence. XSEDE and SGCI provide links to such gateways for researchers interested in accessing these gatways.

HydroShare: A Science Gateway for Hydrological Sciences
  • Scientific gateways like HydroShare, give researchers access to domain specific data sets and workflows which can help in the analysis and visualization of data.

  • HydroShare provides tools to create resources which can contain data, models, workflows and other useful resources researchers can use and expand on.

  • HydroShare provides users simple ways to openly collaborate with the public community, privately with specific individuals, or research groups consisting of individuals with similar interests.

  • Webapps in HydroShare can be used to gain access to computational resources and workflows which perform data analysis tasks.

Collaborating and Data Analysis Using HydroShare Workflows
  • Scienctific gateways like HydroShare, enable researchers to form and join groups and communities, within the gateway, with similar research interests.

  • Existing workflows can be discovered and used to aid researchers perform visualization and analysis on their data, eliminating the need to write all the necessary foundational codes.

Acknowledgements

Glossary

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