Transform research into FAIR nanopublications. Create, discover, cite, and embed structured knowledge bricks.
(PDF) The Comparative Anatomy of Nanopublications and FAIR Digital Objects
PDF | Beginning in 1995, early Internet pioneers proposed Digital Objects as encapsulations of data and metadata made accessible through persistent... | Find, read and cite all the research you need on ResearchGate
NLnet; Nanoarguments
Scientific knowledge is currently scattered across papers, repositories, and disconnected platforms, with no structured way to trace how claims connect to evidence or how arguments develop. Nanoarguments builds a framework and tools for creating, browsing, and contributing to a global, federated graph of scientific discourse and evidence. Researchers and their communities can collaboratively structure claims, evidence chains, and discussion as nanopublications, which are small, cryptographically signed Linked Data snippets with precise provenance and authorship, published to a decentralized peer-to-peer network. The project builds upon the Nanodash interface to help users browse, edit, and aggregate discourse and evidence graphs, and integrates with dokieli to enable in-context authoring of nanopublications as inline annotations while reading or writing a document. A bidirectional ActivityPub connector bridges the nanopublication network and the fediverse, allowing discourse threads to start as social exchanges and crystallize into persistent, machine-readable evidence records. The project will be piloted with early adopter research groups in discourse and evidence modeling. All components will be released as open-source modules that other systems can build upon.
FAIR Principles - GO FAIR
In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of… Continue reading →
Empowering science communities with open, democratic, researcher-owned infrastructure.
We’re building communities and tech for publishing, curating, sharing, and discussing research online using ATProto and other decentralized protocols.
Empowering science communities with open, democratic, researcher-owned infrastructure.
We’re building communities and tech for publishing, curating, sharing, and discussing research online using ATProto and other decentralized protocols.
Metagov x Future of Science Seminar - Discourse Graphs with Matt Akamatsu
Plaudit — How to Give More Than One Like to a Scientific Article | Challenges and Issues of Modern Science
Is it possible to give more than one like on Facebook, Instagram, LinkedIn, and other social networks? Have you ever wanted, just once, to “like with both hands”? If so — your wish has come true on the platform of our journal Challenges and Issues of Modern Science.
unsloth/Jan-nano-128k-GGUF · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Open Sourcing Scientific Research with Lab Discourse Graphs
Stackable Citation Knowledge — Live Demo: Annotate While Reading (CiTeX 2026)
This screencast is the pre-recorded demo segment from the talk "Stackable Citation Knowledge: Building on Nanopublications for Climate and Biodiversity Research", delivered remotely at the CiTeX 2026 Workshop on Citation Extraction and Parsing (DIPF Leibniz Institute, Frankfurt, 28-29 May 2026) by Anne Fouilloux (LifeWatch ERIC) and Jean Iaquinta (Vitenhub AS). The demo walks through the third production path for citation- typed nanopublications: an expert reader annotates a citation found in someone else's paper, rather than the citing author declaring intent (Author path) or an LLM-extraction pipeline inferring it retroactively (Extract path). The annotation is published as a signed CiTO Citation nanopub on the open Science Live network — ORCID-attributed, immutable via Trusty URI, and contestable by counter-nanopubs. Worked example: while reading Wernberg et al. 2016 (Science, 353:169-172, "Climate-driven regime shift of a temperate marine ecosystem"), the reader infers that Wernberg cites reference 11 - Poloczanska et al. 2013 (Nature Climate Change, 3:919-925, "Global imprint of climate change on marine life") - as the global authority for climate-driven marine species redistribution. The annotation is published to Science Live with relation cito:citesAsAuthority and a one-sentence rationale tying it to the authors' planned Mediterranean Iberian extension. This is the alternative to LLM-based citation intent extraction: same downstream signed nanopub, human expert reader instead of a language model in the loop. Complements OpenCitations, WikiCite, and CiTO-extraction tools (GROBID, CEC, GRAPHIA, OFFZIB) by providing a citable target for any typed-citation output. Tools used: - Science Live Zotero plugin (Zotero 7+, plugin v1.0.6) - Science Live platform (platform.sciencelive4all.org) - Citation with CiTO template (built on CiTO and FaBiO ontologies) Related materials: - Talk repository (Slidev source, demo script, references): https://github.com/ScienceLiveHub/citex2026-stackable-citations - Live deck: https://sciencelive4all.org/citex2026-stackable-citations/ - CiTeX 2026 workshop: https://sites.google.com/view/workshop-on-citation-extractio/
science-live-platform/zotero at main · ScienceLiveHub/science-live-platform
Science Live Platform - Transform research into connected knowledge - ScienceLiveHub/science-live-platform
Super cool! Imagining how something like this could be used for @atproto.science "journal" publishing
Standard Reader
New Feature: Collections on Standard Reader. Curate articles from across the network into magazine editions. Include your editorial intro, notes on each piece, a closing statement and a theme. Publish as a series readers can follow. Tell a story. Check out the first one 👇
