NFT standard for science papers: To start the crypto-economy for science

Soenke Bartling
2 min readMar 16, 2021

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Martin Etzrodt, Sönke Bartling, Darius Styra, Gotthold Fläschner, Titusz Pan

Introduction

NFTs for scientific discoveries, ideas, or papers are a great way to start the crypto-economy for science. Science NFTs could be traded on marketplaces. The crypto-economy for science might create novel incentives around innovation, discoveries, and publishing, but it can be criticized as well. However, before all this, we should define a standard for science NFTs.

How does the NFT token standard for science papers look like?

NFTs contain references to information payloads, most of reference IPFS files. In order to make NFTs work for scientific information, we need to define a standard that allows making scientific artifacts discoverable. We have proposed such a standard for the payload that references scientific papers, talks, or other scientific results:

Besides a tell-tale teaser text, and a catchy image, it should contain:

  • The original title in the original spelling
  • A standard reference format (NLM, or ISO 690), where links to centralized databases such as DOI or PubmedID are omitted.
  • An ipfs link to the work (https://ipfs.io/)
  • An ISCC content hash (https://iscc.codes/)

{

“title”:“”,

“refNLM/refISO”:“”,

“IPFS”:“”,

“ISCC”:“”

}

Title: The title of the original work represented by the NFT

refNLM/refISO: Reference information in NLM notation or according to the ISO690 Standard.

IPFS: The IPFS CID, we require every submission to contain an IPFS CID pointing to the metadata related to the information the NFT stands for. This may be a PDF document, scientific dataset, an image, or even a video or sound recording. Learn more about IPFS here: https://ipfs.io/

ISCC: The ISCC is a universal, hierarchically structured, composite digital identifier for multiple generic media-types (text, image, audio, video). It creates a similarity-preserving fingerprint of digital content for its identification in decentralized and networked environments.

Example:

{“title”:“Computing machinery and intelligence”,

“refISO”:“Turing, AM. Computing machinery and intelligence, Mind, October 1950, vol. LIX, no. 236, pp. 433–460”,

“IPFS”:“QmUQQzsn4AMMYojxvkLfF7JsfTF8ydkU7jUT9s2VXizPdq”,

“ISCC”:“KADZOWTCEPL5SMXBZYFODXHTYVYY72FL6ONS5EXGKWUMQNHOFT6WSK”}

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Soenke Bartling

Blockchain For Science. Basic medical imaging scientist. Opened up science in Web 2.0 and is now trailblazing the Web3 for science.