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Wikidata as a knowledge graph for the life sciences

2020; eLife Sciences Publications Ltd; Volume: 9; Linguagem: Inglês

10.7554/elife.52614

2050-084X

Andra Waagmeester, Gregory S. Stupp, Sebastian Burgstaller-Muehlbacher, Benjamin M. Good, Malachi Griffith, Obi L. Griffith, Kristina Hanspers, Henning Hermjakob, Toby Hudson, Kevin Hybiske, Sarah Keating, Magnus Manske, Michael Mayers, Daniel Mietchen, Elvira Mitraka, Alexander R. Pico, Tim Putman, Anders Riutta, Núria Queralt-Rosiñach, Lynn M. Schriml, Thomas Shafee, Denise Slenter, Ralf Stephan, Katherine Thornton, Ginger Tsueng, Roger Tu, Sabah Ul-Hasan, Egon Willighagen, Chunlei Wu, Andrew I. Su,

Bioinformatics and Genomic Networks

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.