Science Forum: Wikidata as a knowledge graph for the life sciences

Science Forum: Wikidata as a knowledge graph for the life sciences

Abstract

Wikidata is a community-maintained knowledge base that has been assembled from repositories in the fields of genomics, proteomics, genetic variants, pathways, chemical compounds, and diseases, and that adheres to the FAIR principles of findability, accessibility, interoperability and reusability. Here we describe the breadth and depth of the biomedical knowledge contained within Wikidata, and discuss the open-source tools we have built to add information to Wikidata and to synchronize it with source databases. We also demonstrate several use cases for Wikidata, including the crowdsourced curation of biomedical ontologies, phenotype-based diagnosis of disease, and drug repurposing.

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Authors
  • Waagmeester, Andra
  • Stupp, Gregory
  • Burgstaller-Muehlbacher, Sebastian
  • Good, Benjamin M
  • Griffith, Malachi
  • Hanspers, Kristina
  • Griffith, Obi L
  • Hermjakob, Henning
  • Hudson, Toby S
  • Hybiske, Kevin
  • Keating, Sarah M
  • Manske, Magnus
  • Mayers, Michael
  • Mietchen, Daniel
  • Mitraka, Elvira
  • Pico, Alexander R
  • Putman, Timothy
  • Riutta, Anders
  • Queralt-Rosinach, Nuria
  • Schriml, Lynn M
  • Shafee, Thomas
  • Slenter, Denise
  • Stephan, Ralf
  • Tsueng, Ginger
  • Thornton, Katherine
  • Tu, Roger
  • Ul-Hasan, Sabah
  • Willighagen, Egon
  • Wu, Chunlei
  • Su, Andrew I
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Shortfacts
Category
Journal Paper
Divisions
Bioinformatics and Computational Biology
Journal or Publication Title
eLife Sciences
ISSN
2050-084X
Publisher
eLife Sciences Publications Ltd.
Place of Publication
Cambridge UK
Number
e52614
Volume
9
Date
17 March 2020
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