There are a number of ways to get help with developing and running computational and data intensive applications.
- Contact firstname.lastname@example.org:
Submit questions to get help. Generally, IT Research Computing staff or the Expert Group will respond.
- Request a Workinar:
DARWIN account users who need some guidance beyond the user guide and initial startup can reach out to request Expert Assistance via a Workinar. Full details here.
For HPC systems Caviness and Farber:
- email@example.com mailinglist:
Submit questions to get help. Generally, IT Research Computing staff will respond. Please see the corresponding Google Group firstname.lastname@example.org to look at questions and answers seen in the past.
- Personal help from IT Research Computing:
You can also contact IT Research Computing staff directly for problems that cannot be easily sent to email@example.com. The best way to contact the staff is via https://sites.udel.edu/research-computing/contact/
For data management questions including creating a Data Management Plan
- contact members of the Library’s Research Data Steering Group, you can write to firstname.lastname@example.org.
For general questions to the UD computational and data-intensive research community
- Find a faculty member or DSI community member involved in specific research:
Visit the faculty page and the community page.
- Reach out to faculty and students and involved in computational and data-intensive research:
Join the email@example.com mailing list by going to the subscribe page.
The Core facility is also in the process of establishing a staff of part-time, and eventually full-time, specialists and volunteers with expertise in developing and running computational and data-intensive applications. The staff will be able to work on projects collaboratively with the requesting researchers. Among the volunteers are computer science/engineering students who work on a thesis topic in parallel computing or data-intensive science with an emphasis on real applications. Part-time and full-time staff members are experts with specific skills in developing computational and data-intensive applications. Both staff and students may be available for being budgeted on research proposals. Faculty interested in taking advantage of such resources, please contact us at firstname.lastname@example.org.