Consensus and guidance are required and provided in ISO/TR 3985 for the biotech domain-independent annotation of biological data. ISO/TR 3985 lays out concepts, challenges, issues, and benefits that are relevant to developing International Standards for data sharing in life sciences research. ISO/TR 3985 provides and overview for specifying standards and best practices that enable data sharing. ISO/TR 3985 reviews best practices that are:
ISO/TR 3985 applicable to domains in life sciences including biotechnology, genomics (including massively parallel nucleotide sequencing, metagenomics, epigenomics and functional genomics), transcriptomics, translatomics, proteomics, metabolomics, lipidomics, glycomics, enzymology, immunochemistry, life science imaging, synthetic biology, systems biology, systems medicine, and related fields.
ISO/TR 3985 on biotechnology is applicable to:
Data producer’s use of a consistent method to describe the biology that their data represents can greatly improve the use of big data. This single, unified description of biological data facilitates locating and extracting value from an abundance of biological data and return increased value of funding organizations.
On an international level sharing data is a crucial aspect of biotechnological research ISO/TR 3985 guidelines provides an overview for describing standards and best practices that enable data sharing on an international level, as well as concepts, difficulties, issues, and benefits that are important to developing International Standards for data sharing in biotechnological research.
ISO/TR 3985 guidelines helps a unified description of biological data which facilitates locating and extracting value from an abundance of biological data and returns increased value to funding organizations. ISO/TR 3985 ensures that your research data reaches globally which will provide wider market reach for product/service internationally.
ISO/TR 3985