FAIR Data Point
RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.
The nanopub library provides a high-level, user-friendly python interface for searching, publishing and retracting nanopublications.
The nanopub
library provides a high-level, user-friendly python interface for searching, publishing and retracting nanopublications.
Nanopublications are a formalized and machine-readable way of communicating
the smallest possible units of publishable information. See the documentation
for more information.
The nanopub library provides an intuitive API that makes publishing nanopublications much easier. The rationale is that you often do not want to worry about the details of composing the RDF that is often the same in each nanopublication. Instead you should focus on the content of your nanopublication: the assertion.
The NanopubClient
provides methods for searching the nanopub server. It provides an (uncomplete) mapping to the nanopub server grlc endpoint.
You can fetch nanopublications from the nanopub server using NanopubClient.fetch()
. The resulting object is a Publication
object that you can use to inspect the nanopublication.
Integrating data publishing principles in scientific workflows
RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.
JupyterLab extension to aid in searching and publishing of Nanopublications in a python notebook