A sea of standards for omics data: sink or swim?
In the era of Big Data, omic-scale technologies, and increasing calls for data sharing, it is generally agreed that the use of community-developed, open data standards is critical. Far less agreed upon is exactly which data standards should be used, the criteria by which one should choose a standard, or even what constitutes a data standard. It is impossible simply to choose a domain and have it naturally follow which data standards should be used in all cases. The 'right' standards to use is often dependent on the use case scenarios for a given project. Potential downstream applications for the data, however, may not always be apparent at the time the data are generated. Similarly, technology evolves, adding further complexity. Would-be standards adopters must strike a balance between planning for the future and minimizing the burden of compliance. Better tools and resources are required to help guide this balancing act.
Duke Scholars
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- Microarray Analysis
- Medical Informatics
- Medical Informatics
- Information Dissemination
- Databases as Topic
- Biomarkers
- 46 Information and computing sciences
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Microarray Analysis
- Medical Informatics
- Medical Informatics
- Information Dissemination
- Databases as Topic
- Biomarkers
- 46 Information and computing sciences
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences