EEGNet Technical Landscape Survey
EEGNet.org, a Canadian consortium with international partnerships, is seeking input from stakeholders and communities about open-source electrophysiology resources, to better understand what barriers exist in research environments.
Please let us know about considerations and challenges limiting your research production in multiple areas.
 
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Email *
Your Name *
Institution
How do you view your role in the research landscape? (check all that apply)
Which best describes your current position?
Clear selection
Section 1: Current research environment
1a) Which of the following stages present barriers or challenges in your desired research production? Please indicate the impact of these barriers using the following scale: *
Unsure
No barrier
Low barrier
Significant barrier
Inhibits production
Protocol development
Data standardization
Acquisition
Pre-processing
Post-processing
Sharing of data and/or processing tools
Access to datasets
1b) How would the following features or tools impact your research if you could work with them in a browser-based platform with your data ? *
Unsure
No impact
A little impact
Significant impact
Critical feature
Online data hosting and sharing
Dataset Access controlled by data contributors
User permission-based roles (e.g. to annotate a dataset)
Data standardization tools
Curation tools for collaborative review / QC
Interactive collaborative visualization
Analytics Hub for automated pipeline workflows
API
2a) What tools do you use?  Please include major systems, standards and processing tools, e.g EEGLab, and specify others, e.g. MNE-BIDS
Not currently
Some legacy code/tools
Actively working/developing with it
Would like to
Matlab
Python
EEGLab
BrainStorm
MNE-Python
MNE-BIDS libraries
FieldTrip
Other (please describe below)
Clear selection
2b) If Other : What tools do you use, or would like to use?
3a) What (data) formats do you work with?  Which of them pose challenges/barriers for data sharing?
Not used
Using, No barriers
Using, Yes some barriers
.set
.edf
BioSemi (.bdf)
BrainVision
EGI (.mff)
.mat
BIDS structures
Other (let us know below)
Clear selection
3b)  If Other/Yes : Which other formats? and What could help minimize barriers for each of these formats?
4) Do you have any licensing constraints?  Please describe how it impacts your research workflow decisions.  (check all that apply)
5) Do you encounter any limitations or constraints working with open source tools? (check all that apply)
6a) What computational resources are you using? What barriers are you encountering?
Not interested in using
Would like to use, too many barriers
Using, Yes some barriers
Using, No barriers
National computing cluster
Provincial/regional cluster
Other HPC network (e.g. domain-specific)
Commercial service (e.g. Amazon)
Institutional server
Local machines
Clear selection
6b)  If barriers exist -  What are the most significant resource barriers for your research? What could help minimize constraints for each of these?  (e.g. access to cluster computing resources)
Section 2: Other Resources and Challenges
7a) Are there specific skillsets that present barriers or challenges in your desired research production? What kind of user training would best address these barriers for your lab?
Not relevant to my research workflows
Not a barrier
Yes, would be useful
Yes, critical priority
Command-line technical skills
Scripting of analysis tools
Online collaboration tools (e.g. GitHub)
Data management and data sharing
Using remote cluster computers
Specific programming languages (please specify below)
Clear selection
7b)  If Other/ Yes, please let us know more:  
8) At which stages do you (or your lab/colleagues) spend time doing/learning procedures that could be standardized or automated? Please indicate the impact of automation: *
Hadn't considered / not relevant
No or little impact
Significant impact
Critical impact
Protocol development
Data standardization
Data cleaning / other preparation
Acquisition
Pre-processing
Post-processing
Sharing of data and/or processing tools
Access to datasets
9) What aspects of research could be modified to enhance inclusivity and access for underrepresented communities or groups (e.g. access to resources or training, research participation)?
10) What other barriers exist between your current and desired state of data processing and workflows?
11) Would you be interested in sharing tools or data with EEGNet.org, or providing more information on your challenges and user requirements for your research context ? *
Required
If Yes, Datasets -- please let us know more about your data here:
https://docs.google.com/forms/d/e/1FAIpQLSdDWTx5iCGlQJxyLYbuy91oVd6cqPZ-3PtyuLqJ2HU9XhxeRA/viewform
If Yes, Tools -- please let us know more about your tools or analysis pipelines here:
https://docs.google.com/forms/d/e/1FAIpQLScUmJfgbtwaEcYKk5IjQj1hV1K9jggLlrOgZfXWQX_qOW935w/viewform
Thank you for taking the time for this survey.  To let us know more, please also consider completing the EEGNet User Requirements questionnaire:
Thank you for taking the time for this survey.  To let us know more, please also consider completing the EEGNet User Requirements questionnaire:  https://docs.google.com/forms/d/e/1FAIpQLSeKDPAR3wluEtP4Xf7LOrCBm2UAh5HrYC_sDOhBaGl4NpkL8Q/viewform
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