URL: | https://ngdc.cncb.ac.cn/databasecommons |
Full name: | a catalog of biological databases |
Description: | Database Commons provides users with easy access to a comprehensive collection of publicly available biological databases encompassing different data types and spanning diverse organisms. |
Year founded: | 2015 |
Last update: | 2022-12-28 |
Version: | release 2.0 |
Accessibility: |
Manual:
Accessible
|
Country/Region: | China |
Data type: | |
Data object: |
NA
|
Database category: | |
Major species: |
NA
|
Keywords: |
University/Institution: | Beijing Institute of Genomics, Chinese Academy of Sciences |
Address: | No.1 Beichen West Road, Chaoyang District |
City: | Beijing |
Province/State: | Beijing |
Country/Region: | China |
Contact name (PI/Team): | Lina Ma |
Contact email (PI/Helpdesk): | malina@big.ac.cn |
Database Commons: A Catalog of Worldwide Biological Databases. [PMID: 36572336]
Biological databases serve as a global fundamental infrastructure for the worldwide scientific community, which dramatically aid the transformation of big data into knowledge discovery and drive significant innovations in a wide range of research fields. Given the rapid data production, biological databases continue to increase in size and importance. To build a catalog of worldwide biological databases, therefore, we curate a total of 5825 biological databases from 8931 publications, which are geographically distributed in 72 countries/regions and developed by 1975 institutions (as of 20th September 2022). We further devise the z-index, a novel index to characterize the scientific impact of a database, and rank all these biological databases as well as their hosting institutions and countries in terms of citation and z-index. Consequently, we present a series of statistics and trends of worldwide biological databases, yielding a global perspective to better understand their status and impact for life and health sciences. An up-to-date catalog of worldwide biological databases as well as their curated meta-information and derived statistics is publicly available at database commons (https://ngdc.cncb.ac.cn/databasecommons/). |