Collaborative Cyberinfrastructure Environment

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Collaborative Cyberinfrastructure Environment - Survey

Title of Study: Collaborative Cyberinfrastructure Environment

Amit Majumdar, who is the Division Director of Data Enabled Scientific Computing division at the San Diego Supercomputer Center, UCSD and Associate Professor in the Department of Radiation Medicine and Applied Sciences, at UCSD is conducting a research study to find out more about how researchers and educators might need and use a cyberinfrastructure solution for data management, collaboration, computation and teaching.

If you agree to be in the study, the following will happen to you:
You would answer some questions, by clicking and writing in the web form below, about your current and future cyberinfrastructure needs and usage. We would use this to understand the cyberinfrastructure need of the community.

Research records will be kept confidential to the extent allowed by law. Only the PI, and Co-investigators (listed below), will have access to the survey data and it will be kept protected and confidential; the survey data is password protected to maintain the privacy and confidentiality interests of the subject.

Participation in research is entirely voluntary. You may refuse to participate or withdraw at any time without penalty or loss of benefits to which you are entitled.

If you want additional information or have questions or research-related problems, you may reach Amit Majumdar at 858 534 8356

The aim of this survey is to understand how researchers and educators might need and use a cyberinfrastructure solution for data management, collaboration, computation and teaching.

Please note that we use the term “data” very broadly, to include data generated by simulations, data generated from experiments, data collected from the field, imaging data, sensors data, mining publicly available data resources, computational models, noncommercial scientific software, input/output results of codes, visualization results etc.

We believe that the survey should not take more than 10 to 15 mins to complete. We appreciate very much you taking the time to fill out the survey.

Amit Majumdar (majumdar@sdsc.edu), Subhashini Sivagnanam (sivagnan@sdsc.edu), Kenneth Yoshimoto (kenneth@sdsc.edu), San Diego Supercomputer Center, University of California San Diego

3. What is your professional status? *

4. What is the size of your research team? *

Under 5

5-15

Over 15

5. Your research data type: *

You can check multiple boxes if needed.

Experimental data

Data from simulation (including codes, software)

Imaging data

Text based survey data

Medical/clinical data ( HIPAA or other compliant data)

Social network data

Data collected in the field

Medical/clinical data that is de-identified data or subject data that doesn't need to follow compliance

Data from distributed sensor networks

Other:

Required

6. Estimate of the size of your current research data: *

<1GB

1GB-100GB

100GB-500GB

500GB-1TB

1TB-100TB

~100s of TBs

~ petabyte(s)

7. How will your data need grow over time? *

Few GBs per year

Few 10s to 100s GBs per year

Few terabytes per year

Few 100 terabytes per year

few petabytes or more per year

It will not grow over time

8. How do you store your research data? *

You can check multiple boxes if needed.

Personal laptop/desktop

Campus/institution provided storage

External harddrive

Cloud storage

Other:

Required

9. How long do you need to store data? *

Less than a year

1-3 years

3-5 years

>5 years

Raw experimental data, imaging data, code input data

Intermediate data, code output results etc.

Processed data or final data (e.g. data that you may publicly/privately share; data referred in publications etc.)

10. With whom do you share your data? *

You can check multiple boxes if needed.

Only I have access or need to have access to my data

I share with immediate collaborators

I share with others in my field in my country

I share with collaborators internationally

I make it publicly available

Required

11. What limits your ability to share data? *

You can check multiple boxes if needed.

I deal with proprietary data, compliant data (e.g.HiPAA, patient data), data having other imposed restriction. Although I want to share this data there is no technical (e.g. HIPAA complaint cloud or storage) or (legal) policy solution in place.

It is my personal choice not to share

I want a period of FIRST access to myself and to my close collaborators (e.g. till completion of Ph.D or publication of a paper etc.) and will then share

No mechanism in place for selective sharing (e.g. where I can share with select group but not publicly)

I do not have any issue or problem sharing my data

Other:

Required

12. Here are some possibilities about the current scope of your data sharing. Please use the "other" box to elaborate as you feel appropriate. *

You can check multiple boxes if needed.

I transfer (snail mail) hard disks with collaborators

I email data to collaborators

I use cloud (e.g. google drive, amazon) or some other remote storage to share data with collaborators

I transfer data frequently ( few times in a few months)

I transfer data less frequently ( one/twice a year)

I access (upload/download) online resources (for experimental or computational data)

Other:

Required

13. Related to current and/or future cloud computing and storage usage, please choose which of the options define your needs *

You can check multiple boxes if needed.

I want to give other researchers access to my data stored in the cloud

I want the option to use commercial cloud computing/HPC and storage and pay for it

I need to seamlessly move data from cloud storage to compute and vice versa

I want my data stored in the cloud (storage or compute resources) to be synced with data on my (or my lab's) laptop or desktop

Not interested in cloud computing or storage

Other:

Required

14. Do you need sophisticated search capability for your data or data that you share? *

For example you may need to be able to tag data to be able to make it searchable etc.

Yes

15. Related to high performance computing (HPC) needs, please choose what describes your current/future HPC needs. *

You can check multiple boxes if needed.

Campus/lab cluster (~ few 1000 cores; ~100 teraflop)

Campus centers, national HPC centers (~10,000 to ~50,000 cores; ~few petaflop)

Larger national HPC Centers ( ~100,000 cores and above; ~10s to 100s of petaflops)

Exascale computing in the future

HPC not needed

Other:

Required

16. Do you have visualization needs? *

Yes

17. Are there any special technical requirements and/or use cases about the tools and scientific codes that you use or would like to be able to use for your research? *

These can be any kind of scientific software/code (your own or 3rd party) you use, visualization software, data processing software etc. (You can check multiple boxes if needed)

General compute hardware is sufficient (such as typical hardware available on campus or national HPC resources)

Special data processing such as Hadoop, Spark type environment needed

Accelerators (GPUs, Intel MIC, FPGA etc.) needed

Large memory (512 GB to ~ terabytes per node) nodes needed

Other:

Required

18. If you are involved in teaching, will you use the data sharing, computation and collaboration environment for teaching purposes within your institution or across institutions? *

Yes

Not involved in teaching

19. How important is data sharing collaborative environment for your research? *

Extremely important

Somewhat important

Not so important

20. If an integrated platform providing access to compute, data and collaboration is available, how soon will you use it? *

Please assume that this platform will allow you to do your research and collaboration more effectively than you are able to do now.

Immediately

In about one or two years

Not needed

If there is anything related to your research data, computation, teaching and their association within the context of a collaborative environment/infrastructure that we did not address, please state here.

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