activity
20102023
most citedThe W3C Data Catalog Vocabulary, Version 2: Rationale, Design Principles, and Uptake

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.DL2023★ 1 cited

The W3C Data Catalog Vocabulary, Version 2: Rationale, Design Principles, and Uptake

Riccardo Albertoni, David Browning, Simon Cox +3

DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. Since its first release in 2014 as a W3C Recommendation, DCAT has seen…

q-bio.QM2021

FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows

Sonia Natalie Mitchell, Andrew Lahiff, Nathan Cummings +35

Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changin…

cs.DL2020

Nine Best Practices for Research Software Registries and Repositories: A Concise Guide

Task Force on Best Practices for Software Registries, :, Alain Monteil +30

Scientific software registries and repositories serve various roles in their respective disciplines. These resources improve software discoverability and research transparency, pro…

cs.DL2020

Ten Simple Rules for making a vocabulary FAIR

Simon J D Cox, Alejandra N Gonzalez-Beltran, Barbara Magagna +1

We present ten simple rules that support converting a legacy vocabulary -- a list of terms available in a print-based glossary or table not accessible using web standards -- into a…

cs.DL2019

The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data

P. Wittenburg, H. Pergl Sustkova, A. Montesanti +57

There is a growing acknowledgement in the scientific community of the importance of making experimental data machine findable, accessible, interoperable, and reusable (FAIR). Recog…

cs.AI2010

Ontology-based Queries over Cancer Data

Alejandra Gonzalez-Beltran, Ben Tagger, Anthony Finkelstein

The ever-increasing amount of data in biomedical research, and in cancer research in particular, needs to be managed to support efficient data access, exchange and integration. Exi…