Dealing with different conceptions of pollution in the Gene Regulation Knowledge Commons

Area of Science:

• Bioinformatics
• Genomics
• Data Curation

Background:

• Gene regulatory mechanism research relies on high-quality, manually curated databases.
• Biocurators extract, organize, and validate knowledge claims from publications.
• Curation guidelines ensure data quality, reliability, and user relevance.

Purpose of the Study:

• To evaluate the alignment between database inclusion criteria and diverse user use cases.
• To identify drawbacks for users whose queries narrowly miss database inclusion thresholds.
• To explore methods for databases and biocurators to support more exploratory research needs.

Main Methods:

• Analysis of database inclusion criteria for positive and negative data.
• Assessment of user query outcomes against defined quality standards.
• Exploration of potential accommodations for explorative data retrieval.

Main Results:

• Database inclusion criteria may exclude valuable data for certain user queries.
• A gap exists between strict data quality standards and exploratory research requirements.
• Current curation practices may not fully support nuanced or boundary-case data exploration.

Conclusions:

• Databases and biocurators must balance data quality with accessibility for varied research.
• Adapting inclusion criteria or offering tiered data access could benefit users.
• Enhancing database flexibility can better support the evolving needs of gene regulatory research.