Data reporting standards are of fundamental importance to high-throughput research. As scientists try to understand and reconstruct the interactions between different components of biological systems using genomic, transcriptomic, proteomic and metabolomics approaches, the integration of data generated by such technologies becomes indispensable. Efficient, reliable integration requires high levels of standardization. Equally, the development of data quality standards such as quality metrics and common data analysis pipelines are critical in ensuring that results can be trusted, especially in clinical settings.

This forum provides an opportunity to discuss the development and dissemination of reporting and quality standards in biomedical research.