open-discussion
open-discussion > More effective than gratis/libre?
Oct 22, 2013 02:10 PM | Andrew Worth
More effective than gratis/libre?
Neuromorphometrics is building a database of expert-labeled MRI
brain scans and we want to release it in a way that maximizes the
common good. Pure Open Sourcerers would have us do so for
free, as in both gratis and libre. I believe that charging
for access and use of the database will be faster and more
effective at creating more good. I would love to hear what
the NITRC community thinks.
Localizing and delineating neuroanatomy in 3D medical images is so tedious and requires so much expertise that few are willing and able to do it. Automated methods are improving, but they always need correcting. Creating high-quality results is so expensive that hardly anybody is willing to pay for it.
We provide access to our database as a subscription with a shockingly small fee for academic use and at less than cost for commercial use. This funds the improvement of the database by allowing us to add more labeled scans and to parcellate finer regions. The idea is to spread the cost over all who use the data. The small academic fee allows nearly open access, while commercial users can afford higher fees because they stand to generate revenue from the data.
We could probably get away with using the open source model of openly releasing the data and then charging for services on the side, but a trickle of income provides for only a trickle of development. Doesn't it make sense that we'll be able to improve and grow the database faster with our fee-based subscription idea?
Thanks for any thoughts!
Andy.
Localizing and delineating neuroanatomy in 3D medical images is so tedious and requires so much expertise that few are willing and able to do it. Automated methods are improving, but they always need correcting. Creating high-quality results is so expensive that hardly anybody is willing to pay for it.
We provide access to our database as a subscription with a shockingly small fee for academic use and at less than cost for commercial use. This funds the improvement of the database by allowing us to add more labeled scans and to parcellate finer regions. The idea is to spread the cost over all who use the data. The small academic fee allows nearly open access, while commercial users can afford higher fees because they stand to generate revenue from the data.
We could probably get away with using the open source model of openly releasing the data and then charging for services on the side, but a trickle of income provides for only a trickle of development. Doesn't it make sense that we'll be able to improve and grow the database faster with our fee-based subscription idea?
Thanks for any thoughts!
Andy.
Threaded View
Title | Author | Date |
---|---|---|
Andrew Worth | Oct 22, 2013 | |
Andrew Worth | Nov 27, 2013 | |
Andrew Worth | Nov 9, 2013 | |
Ronald Pierson | Nov 10, 2013 | |
Andrew Worth | Oct 24, 2013 | |
Torsten Rohlfing | Oct 24, 2013 | |
Andrew Worth | Oct 24, 2013 | |
Torsten Rohlfing | Oct 25, 2013 | |
Cinly Ooi | Oct 22, 2013 | |
Bennett Landman | Oct 22, 2013 | |
Matthew Brett | Oct 22, 2013 | |
vsochat | Oct 22, 2013 | |
Torsten Rohlfing | Oct 22, 2013 | |
vsochat | Oct 22, 2013 | |
Torsten Rohlfing | Oct 22, 2013 | |
Bennett Landman | Oct 22, 2013 | |
Ged Ridgway | Oct 23, 2013 | |
Bennett Landman | Oct 23, 2013 | |
Luis Ibanez | Oct 23, 2013 | |
Ged Ridgway | Oct 23, 2013 | |
Luis Ibanez | Oct 24, 2013 | |
Ged Ridgway | Oct 24, 2013 | |
Luis Ibanez | Oct 27, 2013 | |
Manuel Jorge Cardoso | Oct 29, 2013 | |
Andrew Worth | Oct 29, 2013 | |
Ronald Pierson | Oct 24, 2013 | |
Torsten Rohlfing | Oct 24, 2013 | |
Ged Ridgway | Oct 24, 2013 | |
Ian Malone | Oct 24, 2013 | |
Ian Malone | Oct 24, 2013 | |
Torsten Rohlfing | Oct 22, 2013 | |
Arno Klein | Oct 22, 2013 | |
Ged Ridgway | Oct 22, 2013 | |