Back to search

Article

Interoperability and FAIRness through a novel combination of Web technologies

2017-01-02

Abstract excerpt

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations abo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9a93313d-0f74-5493-8fb6-3ce6f3828b2c
DOI
10.7287/peerj.preprints.2522v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Interoperability and FAIRness through a novel combination of Web technologiesDOI 10.7287/peerj.preprints.2522v2
Select a neighboring publication to make it the new centre.