Measuring the impact of omics data

OmicsDI introduces impact score for biomedical datasets

Measuring the impact of omics data

2 Aug 2019 - 15:34


  • The amount of omics data in the public domain is increasing every year
  • OmicsDI, the open-source platform that integrates omics datasets, has proposed a set of metrics to quantify the impact of biomedical datasets
  • OmicsDI hopes that this will encourage more researchers to make their data public, while also proving a useful tool for funding agencies and the scientific community

5 August, Cambridge – EMBL-EBI’s Omics Discovery Index (OmicsDI) has developed a set of metrics that can help quantify the impact of biomedical datasets, particularly omics datasets. The metric, called an Omics score, is set to help researchers track the impact and reuse of their datasets, while also being a useful tool for funding agencies and the wider scientific community. The hope is that it will also encourage more researchers to share their data in public data resources.  

What is OmicsDI?

OmicsDI is an open source platform that makes data from publicly-available research discoverable and reusable. The data resource was launched in 2016 and has grown significantly since. In March 2019, OmicsDI stored over 450 000 datasets from 16 different data resources, including EMBL-EBI’s ENA, EGA, EVA, MetaboLights, Expression Atlas, and PRIDE.

OmicsDI indexes transcriptomics, genomics, proteomics, metabolomics and multiomics datasets.

Measuring dataset impact

In a recent Nature Communications paper, OmicsDI details the metrics it uses to quantify the impact of biomedical datasets:

  • Reanalyses – the complete or partial reuse of an original dataset
  • Direct citations of dataset identifiers
  • Downloads and views – help estimate how many times a dataset is used even if it doesn’t get cited or reanalysed
  • Number of biological entities claims based on the dataset

Claiming your data

Researchers who submit data to OmicsDI partner databases can create a profile and claim their own datasets. The profile is linked through a researcher’s ORCID, so any OmicsDI datasets can be highlighted as research products on the ORCID profile as well.

“We’re hoping that the introduction of the Omics score and similar tools will motivate more researchers to share their data with the community,” explains Yasset Perez-Riverol, Proteomics Team Coordinator at EMBL-EBI. “Keeping track of the datasets that a researcher or consortium has generated is almost as important as keeping track of publications, if not more so. We have tried to make it a quick and intuitive process, and we are hoping to work with our users to develop and improve it so it suits their needs.”

Source article

PEREZ-RIVEROL, Y., et al. (2019). Quantifying the impact of public omics data. Nature Communications. Published online 05 08; DOI: 10.1038/s41467-019-11461-w

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