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Knowledge Pixels > Knowledge Pixels Incubator > KPI #2: nanopublication-Enhanced Open Science Communication (nEOSC)

KPI #2: nanopublication-Enhanced Open Science Communication (nEOSC)

Project

https://w3id.org/spaces/knowledgepixels/incubator/project2 Copy link explore see declaration

Raw page content

Full nanopublications: TriG(txt), JSON-LD(txt), N-Quads(txt), TriX(txt)

Assertions only: Turtle(txt), JSON-LD(txt), N-Triples(txt), RDF/XML(txt)

📅 Date

2025-08-01 - 2026-04-30

ℹ About

This project uses nanopublications to enhance the sharing of scientific information in a machine-readable fashion and around the research cycle. It tackles practical needs like formally acknowledging contributors, pointing out issues such as broken identifiers, and documenting the state of dynamically changing resources.

🤝 Alliances

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                📋 Programs

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                              📦 Maintained Resources

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                                Roles:

                                Admins

                                Observers

                                +

                                Project Leads

                                📌 Relevant resources

                                show query show nanopub add...
                                resource comment np
                                The Incubator project contributed to the Nanosuggestions space.

                                💬 Messages

                                show query show nanopub add...
                                text link user date np
                                What aspects of the research process would you like to be able to express in a machine-actionable fashion?
                                2026-01-09T19:55:14.986Z
                                I published two examples of highlighted implied relations. See the links. We still need a nanopub connecting these and tagging it as a potential problem.
                                link, link, link
                                2025-10-15T11:17:45.404Z
                                I have implemented templates to highlight "implied relations" from given source documents or other resources, using the Web Annotation Vocabulary. This can be a first step towards reporting issues about such implied relations.
                                2025-10-15T11:14:51.963Z

                                📌 Pinned

                                Thanks