CISE - IIS
DATA SHARING FOR COMPUTATIONAL NEUROSCIENCE
NSF is exploring possible approaches to support data sharing and corpora development
for the computational neuroscience and related communities. Comments are invited on this
general topic, and on the specific questions outlined below.
If you have data, algorithms, stimuli, or other resources to share; if you would make
use of such resources; or if you have other general comments, questions, or experience to
share, please contact
Program Director in the Division of Information and Intelligent Systems.
The following questions outline several specific issues of interest to NSF. Please
feel to comment on any or all of the issues below:
If you have data or other resources that you would share:
- Briefly describe data, algorithms, stimuli, or other resources that you would
be interested in sharing (or are already sharing).
- Describe its utility to the computational neuroscience community. In addition to the
data at the core of your own research, consider data that might be useful to others that
you make limited use of yourself. Consider both research and educational uses, and
utility over short and long terms.
- Under what circumstances would you be willing to share it? What kind of support
(time, money, or otherwise) would you need to make it usable and available to others? How
would you want your contribution to be credited? Would you want to place restrictions
on its use?
If there are resources that you would like to use:
- What kinds of data, algorithms, stimuli, or other resources would be most useful to
you for your work? What would they enable you to do?
- Are there particular data formats, metadata, or other characteristics that would
significantly increase the usability of these resources?
- Are there data sets or other resources that currently do not exist, that need to be
developed as shared resources for the community? Briefly describe.
If you have experience with shared resources:
- If you have already developed widely shared resources, please comment on factors
that made those resources or their deployment more or less effective. Approximately
how many people used them? How did they find out about them? How did they provide
feedback on their quality or utility?
- If you have used shared resources in neuroscience (e.g.,
http://ndg.sfn.org/) or other
fields (e.g., Linguistic Data Consortium, Machine Learning Repository, etc.), please
comment on their utility and their appropriateness as models for the computational
General suggestions and comments:
References or websites:
Your comments on this topic are greatly appreciated by NSF.
Please be aware that your comments are not confidential. All comments received,
including sender identities, could be made available to the public.
For further information, please contact:
Division of Information and Intelligent Systems
National Science Foundation