Quantifying the impact of public omics data

Yasset Perez-Riverol (), Andrey Zorin, Gaurhari Dass, Manh-Tu Vu, Pan Xu, Mihai Glont, Juan Antonio Vizcaíno, Andrew F. Jarnuczak, Robert Petryszak, Peipei Ping and Henning Hermjakob
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Yasset Perez-Riverol: EMBL-European Bioinformatics Institute (EMBL-EBI)
Andrey Zorin: EMBL-European Bioinformatics Institute (EMBL-EBI)
Gaurhari Dass: EMBL-European Bioinformatics Institute (EMBL-EBI)
Manh-Tu Vu: EMBL-European Bioinformatics Institute (EMBL-EBI)
Pan Xu: National Center for Protein Sciences (The PHOENIX Center, Beijing)
Mihai Glont: EMBL-European Bioinformatics Institute (EMBL-EBI)
Juan Antonio Vizcaíno: EMBL-European Bioinformatics Institute (EMBL-EBI)
Andrew F. Jarnuczak: EMBL-European Bioinformatics Institute (EMBL-EBI)
Robert Petryszak: EMBL-European Bioinformatics Institute (EMBL-EBI)
Peipei Ping: University of California
Henning Hermjakob: EMBL-European Bioinformatics Institute (EMBL-EBI)

Nature Communications, 2019, vol. 10, issue 1, 1-10

Abstract: Abstract The amount of omics data in the public domain is increasing every year. Modern science has become a data-intensive discipline. Innovative solutions for data management, data sharing, and for discovering novel datasets are therefore increasingly required. In 2016, we released the first version of the Omics Discovery Index (OmicsDI) as a light-weight system to aggregate datasets across multiple public omics data resources. OmicsDI aggregates genomics, transcriptomics, proteomics, metabolomics and multiomics datasets, as well as computational models of biological processes. Here, we propose a set of novel metrics to quantify the attention and impact of biomedical datasets. A complete framework (now integrated into OmicsDI) has been implemented in order to provide and evaluate those metrics. Finally, we propose a set of recommendations for authors, journals and data resources to promote an optimal quantification of the impact of datasets.

Date: 2019
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DOI: 10.1038/s41467-019-11461-w

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