期刊
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
卷 18, 期 1, 页码 10-14出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/omi.2013.0149
关键词
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资金
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [T32HG000044, R00HG007065, K99HG007065] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [U01DK072473, U01DK089571] Funding Source: NIH RePORTER
- NATIONAL LIBRARY OF MEDICINE [R01LM009722] Funding Source: NIH RePORTER
- Division Of Integrative Organismal Systems [0841918] Funding Source: National Science Foundation
- NHGRI NIH HHS [K99 HG007065, T32 HG000044, R00 HG007065] Funding Source: Medline
- NIDDK NIH HHS [U01DK072473, U01DK089571] Funding Source: Medline
- NLM NIH HHS [R01 LM009722] Funding Source: Medline
Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies, omics studies are becoming increasingly prevalent; yet the full impact of these studies can only be realized through data harmonization, sharing, meta-analysis, and integrated research. These essential steps require consistent generation, capture, and distribution of metadata. To ensure transparency, facilitate data harmonization, and maximize reproducibility and usability of life sciences studies, we propose a simple common omics metadata checklist. The proposed checklist is built on the rich ontologies and standards already in use by the life sciences community. The checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications. The omics metadata checklist and data publications will create efficient linkages between omics data and knowledge-based life sciences innovation and, importantly, allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era. We ask that the life sciences community test the proposed omics metadata checklist and data publications and provide feedback for their use and improvement.
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