A crowdsourcing open platform for literature curation in UniProt
Yuqi Wang1,2, Qinghua Wang1,2, Hongzhan Huang1,2
1Protein Information Resource, University of Delaware, Newark, Delaware, United States of America.
Plos Biology
|December 6, 2021
Summary
The UniProt knowledgebase now offers a crowdsourcing annotation system. This allows the scientific community to contribute to protein data curation and receive recognition for their work.
Area of Science:
- Bioinformatics
- Molecular Biology
- Biochemistry
Background:
- The UniProt knowledgebase is a critical public resource for protein sequence and function data.
- It currently contains over 220 million protein entries, spanning the tree of life.
- Scaling UniProt curation efforts is essential for maintaining comprehensive and up-to-date information.
Purpose of the Study:
- To introduce a new crowdsourcing annotation system for the UniProt knowledgebase.
- To enable the wider scientific community to participate in protein data curation.
- To provide a mechanism for attributing biocuration contributions.
Main Methods:
- Implementation of a novel crowdsourcing platform integrated with the UniProt knowledgebase.
- Development of user-friendly interfaces for annotation submission and review.
- Establishment of a system for tracking and acknowledging community contributions.
Main Results:
- Successful launch of the crowdsourcing annotation system.
- Demonstrated potential for increased annotation throughput and data coverage.
- Positive reception from the scientific community regarding participation and attribution.
Conclusions:
- The crowdsourcing system effectively scales UniProt curation efforts.
- Community involvement enhances the value and comprehensiveness of the UniProt knowledgebase.
- Proper attribution fosters continued engagement in biocuration.
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