https://github.com/barabasi-lab/quantifying_biobanks

Code to curate and analyze a database of biobanks and cohort studies

https://github.com/barabasi-lab/quantifying_biobanks

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: ncbi.nlm.nih.gov, zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Code to curate and analyze a database of biobanks and cohort studies

Basic Info
  • Host: GitHub
  • Owner: Barabasi-Lab
  • Language: Python
  • Default Branch: main
  • Size: 311 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

Quantifying the Impact of Biobanks and Cohort Studies

Accompanying code to produce and analyze the data from the paper Quantifying the Impact of Biobanks and Cohort Studies.

The associated data can be found in the corresponding Zenodo Repository.

The documentation to run the code is found in the PDF file documentation.pdf.

Datasrouces

Several repositories were used to extract the names of biobanks and associated cohort studies, their mentions across biomedical documents, and their validation.

Biobanks and Cohorts

Mentions

The following databases were stored in Google BigQuery:

Validation

Analysis

Owner

  • Name: Barabasi Lab
  • Login: Barabasi-Lab
  • Kind: organization
  • Location: Boston, MA

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