Research Data Listening Sessions Feedback Form

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Please complete any of the questions below that reference research data needs or challenges you have currently or anticipate in the next 3-5 years. Any information provided is for internal purposes only to inform research data processes and services.

* First Name

* Last Name

* Email Address

* Primary Department

Research Data Feedback

Obtaining Data
Consider whether your data are multi-domain; data size, format, and frequency of change; and whether data are open/protected.

Describe how you obtain your research data and describe your current data collections, and anticipated (next 3-5 years).

Describe any current or anticipated (next 3-5 years) needs or challenges in how you obtain your data.

Processing and Analyzing Data
Consider the types of physical infrastructure your research utilizes, such as data storage, CPU, or GPUs for machine learning; any important or challenging qualities of your data at any stage from raw to fully analyzed; and any special considerations regarding performance or reliability.

Describe your current data processing and analysis workflow, and anticipated (next 3-5 years).

Describe any current or anticipated (next 3-5 years) needs or challenges in how you process and analyze your data.

Storing Data
Consider the variety of storage solutions across the life of your projects (raw, active, archived, and sharing), and comment on any speed considerations for access and any access permission requirements for your team/collaborators. If applicable, offer any preferences for on-premise versus cloud storage, and reasons for preferences.

Describe the storage solutions you use currently, and anticipated (3-5 years).

Describe any current or anticipated (next 3-5 years) needs or challenges in how you store your data.

Managing and Curating Data 
Consider challenges to long-term access (such as file formats), reproducibility and verifiability, as well as specific strategies and techniques related to file or variable naming conventions, metadata ontologies and schemas, data dictionaries, codebooks, lab notebooks, and any associated tools and/or expertise. Share decision-making about retention (e.g., perpetual, funder's expectations). 

Describe your approaches to making your data findable, accessible, interoperable, and reusable (FAIR), both internally to your project over time and among team members as well as externally.

Describe any current or anticipated (next 3-5 years) needs or challenges in how you manage and curate your data.

Data Archiving and Sharing 
Consider any formal data archiving or sharing requirements tied to funding or publishing, and any creation or use of a formal data repository for data sharing purposes. Identify qualities in data archiving and data sharing solutions that are most important for your research.

Describe any long-term data archiving and sharing requirements of your research now, and anticipated (3-5 years).

Describe any current or anticipated (next 3-5 years) needs or challenges in services to support archiving or sharing your data.

Sensitive Data

Describe any sensitive characteristics of your data, such as legal or ethical considerations, that are cause for special data storage, analysis, management, curation, archiving, and/or sharing procedures now, and anticipated (3-5 years).

Describe any current or anticipated (next 3-5 years) needs or challenges in how sensitive data are obtained, analyzed, stored, managed, curated, archived, and/or shared.

Software
Consider mentioning tools your scientific community uses that the University should consider acquiring, and/or tools available in your scientific community that could be accessed rather than acquiring locally.

Describe any current or anticipated (next 3-5 years) special software or data management tools that require University support for you to acquire and/or utilize.

Personnel Support
Consider services offered through the Holland Computing Center, University Libraries, Nebraska Information Technology Services, local services within your unit, and/or resources beyond the University.



What research data consulting services do you currently use?

What services do you not have access to that you would find helpful, now and in the next 3-5 years?

Other

Is there anything else about your current or anticipated research data needs or challenges not captured in the above that we should consider in looking to the future of these services at Nebraska?

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