Evolutionary biologist with a passion for natural history museums and the untapped wealth of information they hold. I aim to bring natural history museum based research into the 21st century.
Location
Pretoria, South Africa
Education
Stellenboch University (PhD)
Work
Researcher - Agricultural Research Council (South Africa)
[Note: I also posted something similar to this on the "0020 XLS-20d Non-Fungible Token Support (native)" Github discussion. I'm trying to explore different options for my idea - which I really want running on the XRPL.]
I'm curious about federated side chains, because I'm currently working on a science/business idea using something like 'fractional NFTs'.
I realise this may sound somewhat confusing, as NFTs are by their nature 'indivisible', but I think it's at least conceptually possible if we flip the concept upside-down.
Essentially, I'm referring to minting NFTs for elements of a piece (e.g. pixels of an image) and then grouping them together as a set of NFTs. This could allow for fractional ownership and trading of especially valuable NFTs. This could be quite valuable as it wouldn't exclude anyone based on their financial resources (in the same way fractional shares open up the stock market to a wider range of people).
Could a specialised side chain be capable of issuing copious amounts of NFTs that could then be linked to represent a group of NFTs (tied to a particular object)? So basically a number of 'supra-NFTs' with nested 'sub-NFTs'.
I asked about this on the 0020 XLS-20d Github discussion... but I fear the amount of NFTs my project idea would need to issue will get out of hand very quickly because of the the reserve requirement. i.e. minting 'sub-NFTs' for a 1080x1920 image (2 073 600 pixels) would require 64 800 NFToken pages and 324 000 XRP (at reserve=5 XRP).
Is a specialised side chain a possible way to solve this?
I'm probably being a little unreasonable... but I just really want 'fractional NFTs'... haha
Please bear in mind, I am also a total noob. I have zero experience in blockchain technology and only some experience in scripting for data analysis in R and python.
Thanks a lot
Cheers!
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
[Note: I also posted something similar to this on the "0020 XLS-20d Non-Fungible Token Support (native)" Github discussion. I'm trying to explore different options for my idea - which I really want running on the XRPL.]
I'm curious about federated side chains, because I'm currently working on a science/business idea using something like 'fractional NFTs'.
I realise this may sound somewhat confusing, as NFTs are by their nature 'indivisible', but I think it's at least conceptually possible if we flip the concept upside-down.
Essentially, I'm referring to minting NFTs for elements of a piece (e.g. pixels of an image) and then grouping them together as a set of NFTs. This could allow for fractional ownership and trading of especially valuable NFTs. This could be quite valuable as it wouldn't exclude anyone based on their financial resources (in the same way fractional shares open up the stock market to a wider range of people).
Could a specialised side chain be capable of issuing copious amounts of NFTs that could then be linked to represent a group of NFTs (tied to a particular object)? So basically a number of 'supra-NFTs' with nested 'sub-NFTs'.
I asked about this on the 0020 XLS-20d Github discussion... but I fear the amount of NFTs my project idea would need to issue will get out of hand very quickly because of the the reserve requirement. i.e. minting 'sub-NFTs' for a 1080x1920 image (2 073 600 pixels) would require 64 800 NFToken pages and 324 000 XRP (at reserve=5 XRP).
Is a specialised side chain a possible way to solve this?
I'm probably being a little unreasonable... but I just really want 'fractional NFTs'... haha
Please bear in mind, I am also a total noob. I have zero experience in blockchain technology and only some experience in scripting for data analysis in R and python.
Thanks a lot
Cheers!