Quantifying the impact of public omics data

Nature Communications
Yasset Perez-RiverolHenning Hermjakob

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.

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Citations

Sep 27, 2019·Journal of Leukocyte Biology·Arjun SukumaranJennifer Geddes-McAlister
Nov 7, 2019·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Georgios PapoutsoglouIoannis Tsamardinos
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Nov 27, 2021·Molecular Ecology Resources·Runyang Nicolas Lou, Nina Overgaard Therkildsen

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Datasets Mentioned

BETA
PXD000561
E-GEOD-2034
E-MTAB-513

Software Mentioned

GPMDB
Google Scholar
altmetrics
Expression Atlas
BioModels
MetaboLights
BioModel
OmicsDI
MongoDB
PeptideAtlas

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