Share
Share • Cite • Re-Use
You can share your Nodes with others in four ways:
Gateways to browse and surface published Research Nodes are coming soon.
Share via Bibliographical Citation
You can share your Nodes document, data or code in your bibliography through classic citation methods and styles. You can generate and copy the citation in a number of different styles, to suit your choice of citation programme.
See further information and options under Cite.
[update] Share via Persistent Identifier
When you publish your Node, it will automatically receive a decentralized persistent identifier (dPID). You can share your work with others by forwarding this permanent link to your work. Others can cite your work using this PID.
dPID feel and function like simple filepaths. This makes it super simple to share and granularly cite individual components.
You can access your Node's dPID from #node-drive. Click on Cite for whichever component you want to share and simply copy the dPID. The root dPID always looks like this: dpid.org/{some number}
. This root dPID always points to the latest version of the full Node. But with dPID, you can get specific: Want to share a CSV from Dataset 5 from Version 2 of your Node? Sure. Just select the component in #node-drive and copy its dPID -- or type out the dPID yourself. It's always dpid.org / {Your Node's root PID} / {version number} /{component type}/ {component name}
.
Learn more about the dPID Schema.
[update] Share via Share Link
Share Links are traditional URLs. They may be subject to reference rot. Do not use these links for in-manuscript citations.
[update] Share and Re-Use via CID
Nodes are optimized for re-usability and interoperability. Each component published with DeSci Nodes has its unique content identifier (CID). This identifier is, as the name says, based on the component's content -- and therefore unique to this component (and its exact duplicates). You can use CIDs to access your components through other applications connected to the IPFS network, like compute over data with Bacalhau.
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