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
|
|