| Literature DB >> 25042682 |
Zhang Zhang1, Weimin Zhu2, Jingchu Luo3.
Abstract
Biocuration involves adding value to biomedical data by the processes of standardization, quality control and information transferring (also known as data annotation). It enhances data interoperability and consistency, and is critical in translating biomedical data into scientific discovery. Although China is becoming a leading scientific data producer, biocuration is still very new to the Chinese biomedical data community. In fact, there currently lacks an equivalent acknowledged word in Chinese for the word "curation". Here we propose its Chinese translation as (Pinyin) "shěn biān", based on its implied meanings taken by biomedical data community. The 8th International Biocuration Conference to be held in China (http://biocuration2015.tilsi.org) next year bears the potential to raise the general awareness in China of the significant role of biocuration in scientific discovery. However, challenges are ahead in its implementation.Entities:
Keywords: Big data; Biocuration; Database; Integration
Mesh:
Year: 2014 PMID: 25042682 PMCID: PMC4411340 DOI: 10.1016/j.gpb.2014.07.001
Source DB: PubMed Journal: Genomics Proteomics Bioinformatics ISSN: 1672-0229 Impact factor: 7.691
Figure 1A community-contributed, contribution-rewarded, expert curator-validated and journal-involved model for big biological data curation. The community can perform curation and would be rewarded by contribution quantification and explicit authorship. Curators provide curation trainings for the community and conduct quality control for curated information. Journals, for one thing, require authors submitting data to a relevant database as a compulsory post-publication process, and for another, validate their efforts made to the database.