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Trends of PEL Survey Our Recommendations in Bold, Meta-analysis support Pink by Mind Map: Trends of PEL Survey  Our Recommendations in Bold, Meta-analysis support Pink
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Trends of PEL Survey Our Recommendations in Bold, Meta-analysis support Pink

This is just a demo map that you can delete right away, if you feel like it...

Cottage industry vs Enterprise

Local data storage preferred over University- or cloud-level storage, both for initial storage and back-up. Data are stored indefinitely, and are shared with departmental colleagues, if at all.

Cloud computing

outside image to NSF/NIH + outside institutions

too many industries

fac/student recruitment more difficult/ top 3 goals harder to reach

RCA's role

Local department/contact is primary end-user resource

Past: end user seeks out info from all units

Future: RCA acts as hub of information provider to enable local points of contact

To the extent that software applications and technology tools are funded they are largely funded at the researcher level; and researchers see the future of these applications and there support increasing in importance for theie success over the next 3 years.

Spokes on the wheel idea

Data storage:

users expect basic storage solutions for ALL of their data

they want storage that is accessible daily, automatically backed up, securely stored, easily sharable, saved indefinably, with unlimited capacity

researchers want full control over their data storage needs and in a cost-effective way

Terminology (eResearch)

Humanities feel that this survey did not ‘speak’ to them; however, humanities has self-identified cyberinfrastructure needs. These trends were evident in the comment section of the survey. [We are going to explore further this issue.]


End-users are poorly informed about CI resources and data management tools and how to complying with funding requirments

End-users are unaware of funds available for staff training in learning and workforce development around cyberinfrastructure. [We are going to explore further these data.]

university policy is not apparent to the user but education is expected as a centralized role


Challenge to engage end-users and University leaders in this topic, especially if the jargon is discipline-specific. [Need to research jargon for multiple disciplines.]

researchers ask for grant support for CI, rather than investigating local options

Documented inventory of resources, how do you obtain access, and funding questions in all categories yield high responses in the none/don’t know categories. Can we trust these responses?

Many departments are prased for doing great work, how to understand and model this behavior?


libraries: understanding scientists





staff do not need to support all specialized software, but should understand the options avail across the universtiy

specific needs were outlined in order to be competitive

want more open source tools to reduce costs

need virtual collabroation tools, wet labs, easy process of sharing data with other institutions


new workshop


New node